�ݺ�ߣshows by User: maxkleiner1

�ݺ�ߣshows by User: maxkleiner1 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: maxkleiner1 / Fri, 16 Aug 2024 13:21:32 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: maxkleiner1 EKON28_ModernRegex_12_Regular_Expressions.pdf /slideshow/ekon28_modernregex_12_regular_expressions-pdf/271055222 ekon28modernregex12-240816132132-b262776f
When you start building scripts and apps, you are often faced with almost the same problems. Instead of laboriously constructing loops and queries, we look at the use of modern RegEx in Delphi and Python. Modern refers to 64-bit and Unicode, and pattern matching and stemming are also in demand in AI development or the Human Genome Project. Google, for example, probably uses an analogous process for organic search. Tips and tricks from the PCRE round off the express.]]>
When you start building scripts and apps, you are often faced with almost the same problems. Instead of laboriously constructing loops and queries, we look at the use of modern RegEx in Delphi and Python. Modern refers to 64-bit and Unicode, and pattern matching and stemming are also in demand in AI development or the Human Genome Project. Google, for example, probably uses an analogous process for organic search. Tips and tricks from the PCRE round off the express.]]> Fri, 16 Aug 2024 13:21:32 GMT /slideshow/ekon28_modernregex_12_regular_expressions-pdf/271055222 maxkleiner1@slideshare.net(maxkleiner1) EKON28_ModernRegex_12_Regular_Expressions.pdf maxkleiner1 When you start building scripts and apps, you are often faced with almost the same problems. Instead of laboriously constructing loops and queries, we look at the use of modern RegEx in Delphi and Python. Modern refers to 64-bit and Unicode, and pattern matching and stemming are also in demand in AI development or the Human Genome Project. Google, for example, probably uses an analogous process for organic search. Tips and tricks from the PCRE round off the express. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon28modernregex12-240816132132-b262776f-thumbnail.jpg?width=120&height=120&fit=bounds" /> When you start building scripts and apps, you are often faced with almost the same problems. Instead of laboriously constructing loops and queries, we look at the use of modern RegEx in Delphi and Python. Modern refers to 64-bit and Unicode, and pattern matching and stemming are also in demand in AI development or the Human Genome Project. Google, for example, probably uses an analogous process for organic search. Tips and tricks from the PCRE round off the express.

EKON28_ModernRegex_12_Regular_Expressions.pdf from Max Kleiner

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0 EKON28_Maps_API_12_google_openstreetmaps.pdf /slideshow/ekon28_maps_api_12_google_openstreetmaps-pdf/271055221 ekon28mapsapi12-240816132132-1687c2f5
The Google Directions API and Maps (Earth) are two powerful tools that can be used to calculate and visualize directions and routing between locations using various modes of transportation. The Google Maps Platform is also demonstrated with geocoding, I create a Trip Advisor project to then manage services, credentials, calculations, maps, coordinates in APIs and SDKs.]]>
The Google Directions API and Maps (Earth) are two powerful tools that can be used to calculate and visualize directions and routing between locations using various modes of transportation. The Google Maps Platform is also demonstrated with geocoding, I create a Trip Advisor project to then manage services, credentials, calculations, maps, coordinates in APIs and SDKs.]]> Fri, 16 Aug 2024 13:21:32 GMT /slideshow/ekon28_maps_api_12_google_openstreetmaps-pdf/271055221 maxkleiner1@slideshare.net(maxkleiner1) EKON28_Maps_API_12_google_openstreetmaps.pdf maxkleiner1 The Google Directions API and Maps (Earth) are two powerful tools that can be used to calculate and visualize directions and routing between locations using various modes of transportation. The Google Maps Platform is also demonstrated with geocoding, I create a Trip Advisor project to then manage services, credentials, calculations, maps, coordinates in APIs and SDKs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon28mapsapi12-240816132132-1687c2f5-thumbnail.jpg?width=120&height=120&fit=bounds" /> The Google Directions API and Maps (Earth) are two powerful tools that can be used to calculate and visualize directions and routing between locations using various modes of transportation. The Google Maps Platform is also demonstrated with geocoding, I create a Trip Advisor project to then manage services, credentials, calculations, maps, coordinates in APIs and SDKs.

EKON28_Maps_API_12_google_openstreetmaps.pdf from Max Kleiner

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0 EKON26_VCL4Python.pdf /slideshow/ekon26vcl4pythonpdf-252598991/252598991 ekon26vcl4python-220818141127-d7020322
In the last sessions we have seen that P4D (Python 4 Delphi) is powerful enough to offer components, Python packages or libraries in Delphi or Lazarus (FPC). This time we go the other way of usage and integration; how does the Python or web world in the shell benefit from the VCL components as GUI controls. We create a Python extension module from Delphi classes, packages or functions. Building Delphi’s VCL library as a specific Python module in a console or editor and launching a complete Windows GUI from a script can be the start of a long journey.]]>
In the last sessions we have seen that P4D (Python 4 Delphi) is powerful enough to offer components, Python packages or libraries in Delphi or Lazarus (FPC). This time we go the other way of usage and integration; how does the Python or web world in the shell benefit from the VCL components as GUI controls. We create a Python extension module from Delphi classes, packages or functions. Building Delphi’s VCL library as a specific Python module in a console or editor and launching a complete Windows GUI from a script can be the start of a long journey.]]> Thu, 18 Aug 2022 14:11:26 GMT /slideshow/ekon26vcl4pythonpdf-252598991/252598991 maxkleiner1@slideshare.net(maxkleiner1) EKON26_VCL4Python.pdf maxkleiner1 In the last sessions we have seen that P4D (Python 4 Delphi) is powerful enough to offer components, Python packages or libraries in Delphi or Lazarus (FPC). This time we go the other way of usage and integration; how does the Python or web world in the shell benefit from the VCL components as GUI controls. We create a Python extension module from Delphi classes, packages or functions. Building Delphi’s VCL library as a specific Python module in a console or editor and launching a complete Windows GUI from a script can be the start of a long journey. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon26vcl4python-220818141127-d7020322-thumbnail.jpg?width=120&height=120&fit=bounds" /> In the last sessions we have seen that P4D (Python 4 Delphi) is powerful enough to offer components, Python packages or libraries in Delphi or Lazarus (FPC). This time we go the other way of usage and integration; how does the Python or web world in the shell benefit from the VCL components as GUI controls. We create a Python extension module from Delphi classes, packages or functions. Building Delphi’s VCL library as a specific Python module in a console or editor and launching a complete Windows GUI from a script can be the start of a long journey.

EKON26_VCL4Python.pdf from Max Kleiner

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0 EKON26_Open_API_Develop2Cloud.pdf /maxkleiner1/ekon26openapidevelop2cloudpdf-252598989 ekon26openapidevelop2cloud-220818141125-9bd7e6e5
The flood of Open APIs is now so blatant that we take a closer look at some basics and principles. Of course, the best way to understand how APIs work is to try them. While most APIs require access via API keys or have complicated authentication and authorization methods, there are also open APIs with no requirements or licenses whatsoever. This is especially useful for beginners as we can start exploring different APIs right away. It’s also useful for web developers who want easy access to a sample dataset for their app; e.g. most weather apps get their weather forecast data from a weather API instead of building weather stations themselves.]]>
The flood of Open APIs is now so blatant that we take a closer look at some basics and principles. Of course, the best way to understand how APIs work is to try them. While most APIs require access via API keys or have complicated authentication and authorization methods, there are also open APIs with no requirements or licenses whatsoever. This is especially useful for beginners as we can start exploring different APIs right away. It’s also useful for web developers who want easy access to a sample dataset for their app; e.g. most weather apps get their weather forecast data from a weather API instead of building weather stations themselves.]]> Thu, 18 Aug 2022 14:11:25 GMT /maxkleiner1/ekon26openapidevelop2cloudpdf-252598989 maxkleiner1@slideshare.net(maxkleiner1) EKON26_Open_API_Develop2Cloud.pdf maxkleiner1 The flood of Open APIs is now so blatant that we take a closer look at some basics and principles. Of course, the best way to understand how APIs work is to try them. While most APIs require access via API keys or have complicated authentication and authorization methods, there are also open APIs with no requirements or licenses whatsoever. This is especially useful for beginners as we can start exploring different APIs right away. It’s also useful for web developers who want easy access to a sample dataset for their app; e.g. most weather apps get their weather forecast data from a weather API instead of building weather stations themselves. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon26openapidevelop2cloud-220818141125-9bd7e6e5-thumbnail.jpg?width=120&height=120&fit=bounds" /> The flood of Open APIs is now so blatant that we take a closer look at some basics and principles. Of course, the best way to understand how APIs work is to try them. While most APIs require access via API keys or have complicated authentication and authorization methods, there are also open APIs with no requirements or licenses whatsoever. This is especially useful for beginners as we can start exploring different APIs right away. It’s also useful for web developers who want easy access to a sample dataset for their app; e.g. most weather apps get their weather forecast data from a weather API instead of building weather stations themselves.

EKON26_Open_API_Develop2Cloud.pdf from Max Kleiner

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0 maXbox_Starter91_SyntheticData_Implement /slideshow/maxboxstarter91syntheticdataimplement/250800021 maxboxstarter911-211207201259
Faker is a Python library that generates fake data. Fake data is often used for testing or filling databases with some dummy data. Faker is heavily inspired by PHP's Faker, Perl's Data::Faker, and by Ruby's Faker. Many of the applications and organizations provide avatar features. Finally, synthetic datasets can minimize privacy concerns. Attempts to anonymize data can be ineffective, as even if sensitive/identifying variables are removed from the dataset ]]>
Faker is a Python library that generates fake data. Fake data is often used for testing or filling databases with some dummy data. Faker is heavily inspired by PHP's Faker, Perl's Data::Faker, and by Ruby's Faker. Many of the applications and organizations provide avatar features. Finally, synthetic datasets can minimize privacy concerns. Attempts to anonymize data can be ineffective, as even if sensitive/identifying variables are removed from the dataset ]]> Tue, 07 Dec 2021 20:12:58 GMT /slideshow/maxboxstarter91syntheticdataimplement/250800021 maxkleiner1@slideshare.net(maxkleiner1) maXbox_Starter91_SyntheticData_Implement maxkleiner1 Faker is a Python library that generates fake data. Fake data is often used for testing or filling databases with some dummy data. Faker is heavily inspired by PHP's Faker, Perl's Data::Faker, and by Ruby's Faker. Many of the applications and organizations provide avatar features. Finally, synthetic datasets can minimize privacy concerns. Attempts to anonymize data can be ineffective, as even if sensitive/identifying variables are removed from the dataset <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter911-211207201259-thumbnail.jpg?width=120&height=120&fit=bounds" /> Faker is a Python library that generates fake data. Fake data is often used for testing or filling databases with some dummy data. Faker is heavily inspired by PHP's Faker, Perl's Data::Faker, and by Ruby's Faker. Many of the applications and organizations provide avatar features. Finally, synthetic datasets can minimize privacy concerns. Attempts to anonymize data can be ineffective, as even if sensitive/identifying variables are removed from the dataset

maXbox_Starter91_SyntheticData_Implement from Max Kleiner

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0 Ekon 25 Python4Delphi_MX475 /slideshow/ekon-25-python4delphimx475/250477745 ekon25python4delphimx4ekon25-211019154105
Python for Delphi (P4D) is a set of free components that wrap up the Python DLL into Delphi and Lazarus (FPC). They let you easily execute Python scripts, create new Python modules and new Python types. You can create Python extensions as DLLs and much more like scripting. P4D provides different levels of functionality: Low-level access to the python API High-level bi-directional interaction with Python Access to Python objects using Delphi custom variants (VarPyth.pas).]]>
Python for Delphi (P4D) is a set of free components that wrap up the Python DLL into Delphi and Lazarus (FPC). They let you easily execute Python scripts, create new Python modules and new Python types. You can create Python extensions as DLLs and much more like scripting. P4D provides different levels of functionality: Low-level access to the python API High-level bi-directional interaction with Python Access to Python objects using Delphi custom variants (VarPyth.pas).]]> Tue, 19 Oct 2021 15:41:04 GMT /slideshow/ekon-25-python4delphimx475/250477745 maxkleiner1@slideshare.net(maxkleiner1) Ekon 25 Python4Delphi_MX475 maxkleiner1 Python for Delphi (P4D) is a set of free components that wrap up the Python DLL into Delphi and Lazarus (FPC). They let you easily execute Python scripts, create new Python modules and new Python types. You can create Python extensions as DLLs and much more like scripting. P4D provides different levels of functionality: Low-level access to the python API High-level bi-directional interaction with Python Access to Python objects using Delphi custom variants (VarPyth.pas). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon25python4delphimx4ekon25-211019154105-thumbnail.jpg?width=120&height=120&fit=bounds" /> Python for Delphi (P4D) is a set of free components that wrap up the Python DLL into Delphi and Lazarus (FPC). They let you easily execute Python scripts, create new Python modules and new Python types. You can create Python extensions as DLLs and much more like scripting. P4D provides different levels of functionality: Low-level access to the python API High-level bi-directional interaction with Python Access to Python objects using Delphi custom variants (VarPyth.pas).

Ekon 25 Python4Delphi_MX475 from Max Kleiner

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0 EKON 25 Python4Delphi_mX4 /slideshow/ekon-25-python4delphimx4/250470938 ekon25python4delphimx4ekon25-211018185326
Python for Delphi (P4D) is a set of free components that wrap up the Python DLL into Delphi and Lazarus (FPC). They let you easily execute Python scripts, create new Python modules and new Python types. You can create Python extensions as DLLs and much more like scripting. P4D provides different levels of functionality: Low-level access to the python API High-level bi-directional interaction with Python Access to Python objects using Delphi custom variants (VarPyth.pas) Wrapping of Delphi objects for use in python scripts using RTTI (WrapDelphi.pas) Creating python extension modules with Delphi classes and functions Generate Scripts in maXbox from Python Installation]]>
Python for Delphi (P4D) is a set of free components that wrap up the Python DLL into Delphi and Lazarus (FPC). They let you easily execute Python scripts, create new Python modules and new Python types. You can create Python extensions as DLLs and much more like scripting. P4D provides different levels of functionality: Low-level access to the python API High-level bi-directional interaction with Python Access to Python objects using Delphi custom variants (VarPyth.pas) Wrapping of Delphi objects for use in python scripts using RTTI (WrapDelphi.pas) Creating python extension modules with Delphi classes and functions Generate Scripts in maXbox from Python Installation]]> Mon, 18 Oct 2021 18:53:25 GMT /slideshow/ekon-25-python4delphimx4/250470938 maxkleiner1@slideshare.net(maxkleiner1) EKON 25 Python4Delphi_mX4 maxkleiner1 Python for Delphi (P4D) is a set of free components that wrap up the Python DLL into Delphi and Lazarus (FPC). They let you easily execute Python scripts, create new Python modules and new Python types. You can create Python extensions as DLLs and much more like scripting. P4D provides different levels of functionality: Low-level access to the python API High-level bi-directional interaction with Python Access to Python objects using Delphi custom variants (VarPyth.pas) Wrapping of Delphi objects for use in python scripts using RTTI (WrapDelphi.pas) Creating python extension modules with Delphi classes and functions Generate Scripts in maXbox from Python Installation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon25python4delphimx4ekon25-211018185326-thumbnail.jpg?width=120&height=120&fit=bounds" /> Python for Delphi (P4D) is a set of free components that wrap up the Python DLL into Delphi and Lazarus (FPC). They let you easily execute Python scripts, create new Python modules and new Python types. You can create Python extensions as DLLs and much more like scripting. P4D provides different levels of functionality: Low-level access to the python API High-level bi-directional interaction with Python Access to Python objects using Delphi custom variants (VarPyth.pas) Wrapping of Delphi objects for use in python scripts using RTTI (WrapDelphi.pas) Creating python extension modules with Delphi classes and functions Generate Scripts in maXbox from Python Installation

EKON 25 Python4Delphi_mX4 from Max Kleiner

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0 maXbox Starter87 /slideshow/maxbox-starter87/250332491 maxboxstarter87-210929153106
With the following report I show how to host and execute a deep learning project on a cloud. The cloud is hosted by google Colab and enables working and testing in teams. Lazarus and FreePascal is also being built in colab and the deep learning network is compiled and trained too in a Jupyter notebook with Python scripts.]]>
With the following report I show how to host and execute a deep learning project on a cloud. The cloud is hosted by google Colab and enables working and testing in teams. Lazarus and FreePascal is also being built in colab and the deep learning network is compiled and trained too in a Jupyter notebook with Python scripts.]]> Wed, 29 Sep 2021 15:31:06 GMT /slideshow/maxbox-starter87/250332491 maxkleiner1@slideshare.net(maxkleiner1) maXbox Starter87 maxkleiner1 With the following report I show how to host and execute a deep learning project on a cloud. The cloud is hosted by google Colab and enables working and testing in teams. Lazarus and FreePascal is also being built in colab and the deep learning network is compiled and trained too in a Jupyter notebook with Python scripts. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter87-210929153106-thumbnail.jpg?width=120&height=120&fit=bounds" /> With the following report I show how to host and execute a deep learning project on a cloud. The cloud is hosted by google Colab and enables working and testing in teams. Lazarus and FreePascal is also being built in colab and the deep learning network is compiled and trained too in a Jupyter notebook with Python scripts.

maXbox Starter87 from Max Kleiner

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0 maXbox Starter78 PortablePixmap /slideshow/maxbox-starter78-portablepixmap/239888028 maxboxstarter78-201208191802
The portable pixmap format(PPM), the portable graymap format(PGM) and portable bitmap format(PBM) are image file formats designed to be easily exchanged between platforms. They are also sometimes referred collectively as the portable anymap format(PNM). These formats are a convenient (simple) method of saving image data. And the format is not even limited to graphics, its definition allowing it to be used for arbitrary three-dimensional matrices or cubes of unsigned integers.]]>
The portable pixmap format(PPM), the portable graymap format(PGM) and portable bitmap format(PBM) are image file formats designed to be easily exchanged between platforms. They are also sometimes referred collectively as the portable anymap format(PNM). These formats are a convenient (simple) method of saving image data. And the format is not even limited to graphics, its definition allowing it to be used for arbitrary three-dimensional matrices or cubes of unsigned integers.]]> Tue, 08 Dec 2020 19:18:02 GMT /slideshow/maxbox-starter78-portablepixmap/239888028 maxkleiner1@slideshare.net(maxkleiner1) maXbox Starter78 PortablePixmap maxkleiner1 The portable pixmap format(PPM), the portable graymap format(PGM) and portable bitmap format(PBM) are image file formats designed to be easily exchanged between platforms. They are also sometimes referred collectively as the portable anymap format(PNM). These formats are a convenient (simple) method of saving image data. And the format is not even limited to graphics, its definition allowing it to be used for arbitrary three-dimensional matrices or cubes of unsigned integers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter78-201208191802-thumbnail.jpg?width=120&height=120&fit=bounds" /> The portable pixmap format(PPM), the portable graymap format(PGM) and portable bitmap format(PBM) are image file formats designed to be easily exchanged between platforms. They are also sometimes referred collectively as the portable anymap format(PNM). These formats are a convenient (simple) method of saving image data. And the format is not even limited to graphics, its definition allowing it to be used for arbitrary three-dimensional matrices or cubes of unsigned integers.

maXbox Starter78 PortablePixmap from Max Kleiner

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0 maXbox starter75 object detection /slideshow/maxbox-starter75-object-detection/237422005 maxboxstarter75-200730213353
This tutor puts a trip to the kingdom of object recognition with computer vision knowledge and an image classifier. Object detection has been witnessing a rapid revolutionary change in some fields of computer vision. Its involvement in the combination of object classification as well as object recognition makes it one of the most challenging topics in the domain of machine learning & vision.]]>
This tutor puts a trip to the kingdom of object recognition with computer vision knowledge and an image classifier. Object detection has been witnessing a rapid revolutionary change in some fields of computer vision. Its involvement in the combination of object classification as well as object recognition makes it one of the most challenging topics in the domain of machine learning & vision.]]> Thu, 30 Jul 2020 21:33:53 GMT /slideshow/maxbox-starter75-object-detection/237422005 maxkleiner1@slideshare.net(maxkleiner1) maXbox starter75 object detection maxkleiner1 This tutor puts a trip to the kingdom of object recognition with computer vision knowledge and an image classifier. Object detection has been witnessing a rapid revolutionary change in some fields of computer vision. Its involvement in the combination of object classification as well as object recognition makes it one of the most challenging topics in the domain of machine learning & vision. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter75-200730213353-thumbnail.jpg?width=120&height=120&fit=bounds" /> This tutor puts a trip to the kingdom of object recognition with computer vision knowledge and an image classifier. Object detection has been witnessing a rapid revolutionary change in some fields of computer vision. Its involvement in the combination of object classification as well as object recognition makes it one of the most challenging topics in the domain of machine learning & vision.

maXbox starter75 object detection from Max Kleiner

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0 BASTA 2020 VS Code Data Visualisation /slideshow/basta-2020-vs-code-data-visualisation/237329658 basta2020vscodevision-200728142701
How can we visualize data in machine learning with VS Code? This is a C# wrapper for the GraphViz graph generator for dotnet core. Further bindings for Python GraphViz are shown and exports to MS Power BI all in MS Visual Code, Jupyter and dotnet core.]]>
How can we visualize data in machine learning with VS Code? This is a C# wrapper for the GraphViz graph generator for dotnet core. Further bindings for Python GraphViz are shown and exports to MS Power BI all in MS Visual Code, Jupyter and dotnet core.]]> Tue, 28 Jul 2020 14:27:01 GMT /slideshow/basta-2020-vs-code-data-visualisation/237329658 maxkleiner1@slideshare.net(maxkleiner1) BASTA 2020 VS Code Data Visualisation maxkleiner1 How can we visualize data in machine learning with VS Code? This is a C# wrapper for the GraphViz graph generator for dotnet core. Further bindings for Python GraphViz are shown and exports to MS Power BI all in MS Visual Code, Jupyter and dotnet core. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/basta2020vscodevision-200728142701-thumbnail.jpg?width=120&height=120&fit=bounds" /> How can we visualize data in machine learning with VS Code? This is a C# wrapper for the GraphViz graph generator for dotnet core. Further bindings for Python GraphViz are shown and exports to MS Power BI all in MS Visual Code, Jupyter and dotnet core.

BASTA 2020 VS Code Data Visualisation from Max Kleiner

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0 EKON 24 ML_community_edition /slideshow/ekon-24-mlcommunityedition/236941000 ekon24mlcommunityedition-200715192249
K-CAI NEURAL API is a Keras based neural network API for machine learning that will allow you to prototype with a lots of possibilities of Tensorflow! Python, Free Pascal and Delphi together in Google Colab, Git or the Community Edition.]]>
K-CAI NEURAL API is a Keras based neural network API for machine learning that will allow you to prototype with a lots of possibilities of Tensorflow! Python, Free Pascal and Delphi together in Google Colab, Git or the Community Edition.]]> Wed, 15 Jul 2020 19:22:49 GMT /slideshow/ekon-24-mlcommunityedition/236941000 maxkleiner1@slideshare.net(maxkleiner1) EKON 24 ML_community_edition maxkleiner1 K-CAI NEURAL API is a Keras based neural network API for machine learning that will allow you to prototype with a lots of possibilities of Tensorflow! Python, Free Pascal and Delphi together in Google Colab, Git or the Community Edition. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon24mlcommunityedition-200715192249-thumbnail.jpg?width=120&height=120&fit=bounds" /> K-CAI NEURAL API is a Keras based neural network API for machine learning that will allow you to prototype with a lots of possibilities of Tensorflow! Python, Free Pascal and Delphi together in Google Colab, Git or the Community Edition.

EKON 24 ML_community_edition from Max Kleiner

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0 maxbox starter72 multilanguage coding /maxkleiner1/maxbox-starter72-multilanguage-coding maxboxstarter72-191214221911
Software is changing the world. CGC is a Common Gateway Coding as the name says, it is a "common" language approach for almost everything. I want to show how a multi-language approach to infrastructure as code using general purpose programming languages lets cloud engineers and code producers unlocking the same software engineering techniques commonly used for applications. ]]>
Software is changing the world. CGC is a Common Gateway Coding as the name says, it is a "common" language approach for almost everything. I want to show how a multi-language approach to infrastructure as code using general purpose programming languages lets cloud engineers and code producers unlocking the same software engineering techniques commonly used for applications. ]]> Sat, 14 Dec 2019 22:19:11 GMT /maxkleiner1/maxbox-starter72-multilanguage-coding maxkleiner1@slideshare.net(maxkleiner1) maxbox starter72 multilanguage coding maxkleiner1 Software is changing the world. CGC is a Common Gateway Coding as the name says, it is a "common" language approach for almost everything. I want to show how a multi-language approach to infrastructure as code using general purpose programming languages lets cloud engineers and code producers unlocking the same software engineering techniques commonly used for applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter72-191214221911-thumbnail.jpg?width=120&height=120&fit=bounds" /> Software is changing the world. CGC is a Common Gateway Coding as the name says, it is a "common" language approach for almost everything. I want to show how a multi-language approach to infrastructure as code using general purpose programming languages lets cloud engineers and code producers unlocking the same software engineering techniques commonly used for applications.

maxbox starter72 multilanguage coding from Max Kleiner

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0 EKON 23 Code_review_checklist /slideshow/ekon-23-codereviewchecklist/175624374 ekon23codereviewchecklist-190924163240
Code Review Checklist: How far is a code review going? "Metrics measure the design of code after it has been written, a Review proofs it and Refactoring improves code." In this paper a document structure is shown and tips for a code review. Some checks fits with your existing tools and simply raises a hand when the quality or security of your codebase is impaired. ]]>
Code Review Checklist: How far is a code review going? "Metrics measure the design of code after it has been written, a Review proofs it and Refactoring improves code." In this paper a document structure is shown and tips for a code review. Some checks fits with your existing tools and simply raises a hand when the quality or security of your codebase is impaired. ]]> Tue, 24 Sep 2019 16:32:40 GMT /slideshow/ekon-23-codereviewchecklist/175624374 maxkleiner1@slideshare.net(maxkleiner1) EKON 23 Code_review_checklist maxkleiner1 Code Review Checklist: How far is a code review going? "Metrics measure the design of code after it has been written, a Review proofs it and Refactoring improves code." In this paper a document structure is shown and tips for a code review. Some checks fits with your existing tools and simply raises a hand when the quality or security of your codebase is impaired. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon23codereviewchecklist-190924163240-thumbnail.jpg?width=120&height=120&fit=bounds" /> Code Review Checklist: How far is a code review going? "Metrics measure the design of code after it has been written, a Review proofs it and Refactoring improves code." In this paper a document structure is shown and tips for a code review. Some checks fits with your existing tools and simply raises a hand when the quality or security of your codebase is impaired.

EKON 23 Code_review_checklist from Max Kleiner

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0 EKON 12 Running OpenLDAP /slideshow/ekon-12-running-openldap/162243085 ekon12openldapdelphi2008-190808074647
Open LDAP as A directory serviceis a system for storing and retrieving information in a tree-like structure with the following key properties: Optimized for reading Distributed storage model Extensible data storage types Advanced search capabilities Consistent replication possibilities]]>
Open LDAP as A directory serviceis a system for storing and retrieving information in a tree-like structure with the following key properties: Optimized for reading Distributed storage model Extensible data storage types Advanced search capabilities Consistent replication possibilities]]> Thu, 08 Aug 2019 07:46:47 GMT /slideshow/ekon-12-running-openldap/162243085 maxkleiner1@slideshare.net(maxkleiner1) EKON 12 Running OpenLDAP maxkleiner1 Open LDAP as A directory serviceis a system for storing and retrieving information in a tree-like structure with the following key properties: Optimized for reading Distributed storage model Extensible data storage types Advanced search capabilities Consistent replication possibilities <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ekon12openldapdelphi2008-190808074647-thumbnail.jpg?width=120&height=120&fit=bounds" /> Open LDAP as A directory serviceis a system for storing and retrieving information in a tree-like structure with the following key properties: Optimized for reading Distributed storage model Extensible data storage types Advanced search capabilities Consistent replication possibilities

EKON 12 Running OpenLDAP from Max Kleiner

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0 EKON 12 Closures Coding /slideshow/ekon-12-closures-coding/159367152 closureszurich20122-190731082028
They are a block of code plus the bindings to the environment they came from (RagusaIdiom). Closures are reusable blocks of code that capture the environment and can be passed around as method arguments for immediate or deferred execution.]]>
They are a block of code plus the bindings to the environment they came from (RagusaIdiom). Closures are reusable blocks of code that capture the environment and can be passed around as method arguments for immediate or deferred execution.]]> Wed, 31 Jul 2019 08:20:28 GMT /slideshow/ekon-12-closures-coding/159367152 maxkleiner1@slideshare.net(maxkleiner1) EKON 12 Closures Coding maxkleiner1 They are a block of code plus the bindings to the environment they came from (RagusaIdiom). Closures are reusable blocks of code that capture the environment and can be passed around as method arguments for immediate or deferred execution. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/closureszurich20122-190731082028-thumbnail.jpg?width=120&height=120&fit=bounds" /> They are a block of code plus the bindings to the environment they came from (RagusaIdiom). Closures are reusable blocks of code that capture the environment and can be passed around as method arguments for immediate or deferred execution.

EKON 12 Closures Coding from Max Kleiner

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0 NoGUI maXbox Starter70 /slideshow/nogui-maxbox-starter70/145618322 maxboxstarter70-190514210837
This tutor explains a solution to attach a console to your app. Basically we want an app to have two modes, a GUI mode and a non-GUI mode for any humans and robots. A NoGUI app provides a mechanism for storage and retrieval of data and functions in means other than the normal GUI used in operating systems.]]>
This tutor explains a solution to attach a console to your app. Basically we want an app to have two modes, a GUI mode and a non-GUI mode for any humans and robots. A NoGUI app provides a mechanism for storage and retrieval of data and functions in means other than the normal GUI used in operating systems.]]> Tue, 14 May 2019 21:08:37 GMT /slideshow/nogui-maxbox-starter70/145618322 maxkleiner1@slideshare.net(maxkleiner1) NoGUI maXbox Starter70 maxkleiner1 This tutor explains a solution to attach a console to your app. Basically we want an app to have two modes, a GUI mode and a non-GUI mode for any humans and robots. A NoGUI app provides a mechanism for storage and retrieval of data and functions in means other than the normal GUI used in operating systems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter70-190514210837-thumbnail.jpg?width=120&height=120&fit=bounds" /> This tutor explains a solution to attach a console to your app. Basically we want an app to have two modes, a GUI mode and a non-GUI mode for any humans and robots. A NoGUI app provides a mechanism for storage and retrieval of data and functions in means other than the normal GUI used in operating systems.

NoGUI maXbox Starter70 from Max Kleiner

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0 maXbox starter69 Machine Learning VII /slideshow/maxbox-starter69-machine-learning-vii/138679466 maxboxstarter69-190329161102
Introduction to use machine learning in python and pascal to do such a thing like train prime numbers when there are algorithms in place to determine prime numbers. See a dataframe, feature extracting and a few plots to re-search for another hot experiment to predict prime numbers. ]]>
Introduction to use machine learning in python and pascal to do such a thing like train prime numbers when there are algorithms in place to determine prime numbers. See a dataframe, feature extracting and a few plots to re-search for another hot experiment to predict prime numbers. ]]> Fri, 29 Mar 2019 16:11:02 GMT /slideshow/maxbox-starter69-machine-learning-vii/138679466 maxkleiner1@slideshare.net(maxkleiner1) maXbox starter69 Machine Learning VII maxkleiner1 Introduction to use machine learning in python and pascal to do such a thing like train prime numbers when there are algorithms in place to determine prime numbers. See a dataframe, feature extracting and a few plots to re-search for another hot experiment to predict prime numbers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter69-190329161102-thumbnail.jpg?width=120&height=120&fit=bounds" /> Introduction to use machine learning in python and pascal to do such a thing like train prime numbers when there are algorithms in place to determine prime numbers. See a dataframe, feature extracting and a few plots to re-search for another hot experiment to predict prime numbers.

maXbox starter69 Machine Learning VII from Max Kleiner

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0 maXbox starter68 machine learning VI /slideshow/maxbox-starter68-machine-learning-vi/128551816 maxboxstarter68-190120104130
This tutor shows the train and test set split with binary classifying, clustering and 3D plots and discuss a probability density function in scikit-learn on synthetic datasets. The dataset is very simple as a reference of understanding.]]>
This tutor shows the train and test set split with binary classifying, clustering and 3D plots and discuss a probability density function in scikit-learn on synthetic datasets. The dataset is very simple as a reference of understanding.]]> Sun, 20 Jan 2019 10:41:30 GMT /slideshow/maxbox-starter68-machine-learning-vi/128551816 maxkleiner1@slideshare.net(maxkleiner1) maXbox starter68 machine learning VI maxkleiner1 This tutor shows the train and test set split with binary classifying, clustering and 3D plots and discuss a probability density function in scikit-learn on synthetic datasets. The dataset is very simple as a reference of understanding. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter68-190120104130-thumbnail.jpg?width=120&height=120&fit=bounds" /> This tutor shows the train and test set split with binary classifying, clustering and 3D plots and discuss a probability density function in scikit-learn on synthetic datasets. The dataset is very simple as a reference of understanding.

maXbox starter68 machine learning VI from Max Kleiner

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0 maXbox starter67 machine learning V /slideshow/maxbox-starter67-machine-learning-v/128551726 maxboxstarter67-190120103913
This tutor shows the train and test set split with histogram and a probability density function in scikit-learn on synthetic datasets. The dataset is very simple as a reference of understanding.]]>
This tutor shows the train and test set split with histogram and a probability density function in scikit-learn on synthetic datasets. The dataset is very simple as a reference of understanding.]]> Sun, 20 Jan 2019 10:39:13 GMT /slideshow/maxbox-starter67-machine-learning-v/128551726 maxkleiner1@slideshare.net(maxkleiner1) maXbox starter67 machine learning V maxkleiner1 This tutor shows the train and test set split with histogram and a probability density function in scikit-learn on synthetic datasets. The dataset is very simple as a reference of understanding. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter67-190120103913-thumbnail.jpg?width=120&height=120&fit=bounds" /> This tutor shows the train and test set split with histogram and a probability density function in scikit-learn on synthetic datasets. The dataset is very simple as a reference of understanding.

maXbox starter67 machine learning V from Max Kleiner

]]> 56 1 https://cdn.slidesharecdn.com/ss_thumbnails/maxboxstarter67-190120103913-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-maxkleiner1-48x48.jpg?cb=1723814345 UML and Software Development aims to address a surprisingly wide range of software types, from standard information recording and retrieval systems (IS systems), to embedded, real-time and even safety-critical systems. The traditional approach to quality control and testing has been to apply it after the development process completes. This approach is very limited as uncovering defects or errors at a late stage can produce long delays with high costs while the bugs are corrected, or can result in the publishing of a low-quality software product. Previously, it had been thought that different methods were required to address different market segments, so this attempt at integration is rela... http://www.softwareschule.ch/ https://cdn.slidesharecdn.com/ss_thumbnails/ekon28modernregex12-240816132132-b262776f-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ekon28_modernregex_12_regular_expressions-pdf/271055222 EKON28_ModernRegex_12_... https://cdn.slidesharecdn.com/ss_thumbnails/ekon28mapsapi12-240816132132-1687c2f5-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ekon28_maps_api_12_google_openstreetmaps-pdf/271055221 EKON28_Maps_API_12_goo... https://cdn.slidesharecdn.com/ss_thumbnails/ekon26vcl4python-220818141127-d7020322-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ekon26vcl4pythonpdf-252598991/252598991 EKON26_VCL4Python.pdf