際際滷shows by User: NathanielShimoni / http://www.slideshare.net/images/logo.gif 際際滷shows by User: NathanielShimoni / Sun, 14 Apr 2024 09:23:25 GMT 際際滷Share feed for 際際滷shows by User: NathanielShimoni Time Series Foundation Models - current state and future directions /slideshow/time-series-foundation-models-current-state-and-future-directions/267246838 timeseriesfoundationmodelsshortver-240414092326-bfa9bdde
Time Series Foundation Models - what are they? And why should we care? Speaker: Nathaniel (Nati) Shimoni, Co-Founder and Co-CEO of DataDudes.ai, a deep learning lecturer at Ben Gurion University & an AI mentor in Google for startups. Abstract: In this lecture Nati will explore the transformative impact of time series foundation models across sectors such as finance, manufacturing, and healthcare. The lecture will cover the evolution of these models, their current and future abilities to predict and analyze temporal data accurately, and the significant impact they bring to various industries.]]>

Time Series Foundation Models - what are they? And why should we care? Speaker: Nathaniel (Nati) Shimoni, Co-Founder and Co-CEO of DataDudes.ai, a deep learning lecturer at Ben Gurion University & an AI mentor in Google for startups. Abstract: In this lecture Nati will explore the transformative impact of time series foundation models across sectors such as finance, manufacturing, and healthcare. The lecture will cover the evolution of these models, their current and future abilities to predict and analyze temporal data accurately, and the significant impact they bring to various industries.]]>
Sun, 14 Apr 2024 09:23:25 GMT /slideshow/time-series-foundation-models-current-state-and-future-directions/267246838 NathanielShimoni@slideshare.net(NathanielShimoni) Time Series Foundation Models - current state and future directions NathanielShimoni Time Series Foundation Models - what are they? And why should we care? Speaker: Nathaniel (Nati) Shimoni, Co-Founder and Co-CEO of DataDudes.ai, a deep learning lecturer at Ben Gurion University & an AI mentor in Google for startups. Abstract: In this lecture Nati will explore the transformative impact of time series foundation models across sectors such as finance, manufacturing, and healthcare. The lecture will cover the evolution of these models, their current and future abilities to predict and analyze temporal data accurately, and the significant impact they bring to various industries. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/timeseriesfoundationmodelsshortver-240414092326-bfa9bdde-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Time Series Foundation Models - what are they? And why should we care? Speaker: Nathaniel (Nati) Shimoni, Co-Founder and Co-CEO of DataDudes.ai, a deep learning lecturer at Ben Gurion University &amp; an AI mentor in Google for startups. Abstract: In this lecture Nati will explore the transformative impact of time series foundation models across sectors such as finance, manufacturing, and healthcare. The lecture will cover the evolution of these models, their current and future abilities to predict and analyze temporal data accurately, and the significant impact they bring to various industries.
Time Series Foundation Models - current state and future directions from Nathaniel Shimoni
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Current and future challenges in data science /slideshow/current-and-future-challenges-in-data-science/196150495 currentandfuturechallengesindatascience-191121210805
Had a great pleasure and honor to give a lecture about the Current and Future Challenges in Data Science at the Nextech 2019 conference alongside an impressive list of other speakers]]>

Had a great pleasure and honor to give a lecture about the Current and Future Challenges in Data Science at the Nextech 2019 conference alongside an impressive list of other speakers]]>
Thu, 21 Nov 2019 21:08:05 GMT /slideshow/current-and-future-challenges-in-data-science/196150495 NathanielShimoni@slideshare.net(NathanielShimoni) Current and future challenges in data science NathanielShimoni Had a great pleasure and honor to give a lecture about the Current and Future Challenges in Data Science at the Nextech 2019 conference alongside an impressive list of other speakers <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/currentandfuturechallengesindatascience-191121210805-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Had a great pleasure and honor to give a lecture about the Current and Future Challenges in Data Science at the Nextech 2019 conference alongside an impressive list of other speakers
Current and future challenges in data science from Nathaniel Shimoni
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ML whitepaper v0.2 /slideshow/ml-whitepaper-v02/165966088 mlwhitepaperv0-190823230640
Basic whitepaper for the ML course using KNIME analytics platform (comments and suggestions are welcome)]]>

Basic whitepaper for the ML course using KNIME analytics platform (comments and suggestions are welcome)]]>
Fri, 23 Aug 2019 23:06:40 GMT /slideshow/ml-whitepaper-v02/165966088 NathanielShimoni@slideshare.net(NathanielShimoni) ML whitepaper v0.2 NathanielShimoni Basic whitepaper for the ML course using KNIME analytics platform (comments and suggestions are welcome) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mlwhitepaperv0-190823230640-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Basic whitepaper for the ML course using KNIME analytics platform (comments and suggestions are welcome)
ML whitepaper v0.2 from Nathaniel Shimoni
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Machine learning basic course with KNIME analytics platform /NathanielShimoni/machine-learning-basic-course-with-knime-analytics-platform-165964519 machinelearningbasiccoursewithknimeanalyticsplatform-190823225408
The presentation summarizes most of the hands on materials from a course that I've been giving through the past few weeks, on basic machine learning techniques with implementation using KNIME . I hope these materials would become useful for other learners who are making their first steps with this great platform The course covers: * basic I/O * classification * regression * prediction * evaluation * feature selection * hyper-parameter optimization * basic feature extraction * deep learning basics for KNIME analytics platform ** Note that the live course also included additional theoretical lectures and materials that formed a basic understanding of the underlying principles behind the described hands-on content]]>

The presentation summarizes most of the hands on materials from a course that I've been giving through the past few weeks, on basic machine learning techniques with implementation using KNIME . I hope these materials would become useful for other learners who are making their first steps with this great platform The course covers: * basic I/O * classification * regression * prediction * evaluation * feature selection * hyper-parameter optimization * basic feature extraction * deep learning basics for KNIME analytics platform ** Note that the live course also included additional theoretical lectures and materials that formed a basic understanding of the underlying principles behind the described hands-on content]]>
Fri, 23 Aug 2019 22:54:08 GMT /NathanielShimoni/machine-learning-basic-course-with-knime-analytics-platform-165964519 NathanielShimoni@slideshare.net(NathanielShimoni) Machine learning basic course with KNIME analytics platform NathanielShimoni The presentation summarizes most of the hands on materials from a course that I've been giving through the past few weeks, on basic machine learning techniques with implementation using KNIME . I hope these materials would become useful for other learners who are making their first steps with this great platform The course covers: * basic I/O * classification * regression * prediction * evaluation * feature selection * hyper-parameter optimization * basic feature extraction * deep learning basics for KNIME analytics platform ** Note that the live course also included additional theoretical lectures and materials that formed a basic understanding of the underlying principles behind the described hands-on content <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningbasiccoursewithknimeanalyticsplatform-190823225408-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The presentation summarizes most of the hands on materials from a course that I&#39;ve been giving through the past few weeks, on basic machine learning techniques with implementation using KNIME . I hope these materials would become useful for other learners who are making their first steps with this great platform The course covers: * basic I/O * classification * regression * prediction * evaluation * feature selection * hyper-parameter optimization * basic feature extraction * deep learning basics for KNIME analytics platform ** Note that the live course also included additional theoretical lectures and materials that formed a basic understanding of the underlying principles behind the described hands-on content
Machine learning basic course with KNIME analytics platform from Nathaniel Shimoni
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My path to data science /slideshow/my-path-to-data-science/111548546 mypathtodatascience-180825215005
My path to data science I had the privilege to speak alongside Omri Allouche and Aaron Frazer in the Big Data Analytics Israel meetup group about my path to data science. Following the interest from the audience I'm attaching the slides from my talk. feel free to respond with the things you find to apply to your journey and also with things that you find different or missing]]>

My path to data science I had the privilege to speak alongside Omri Allouche and Aaron Frazer in the Big Data Analytics Israel meetup group about my path to data science. Following the interest from the audience I'm attaching the slides from my talk. feel free to respond with the things you find to apply to your journey and also with things that you find different or missing]]>
Sat, 25 Aug 2018 21:50:05 GMT /slideshow/my-path-to-data-science/111548546 NathanielShimoni@slideshare.net(NathanielShimoni) My path to data science NathanielShimoni My path to data science I had the privilege to speak alongside Omri Allouche and Aaron Frazer in the Big Data Analytics Israel meetup group about my path to data science. Following the interest from the audience I'm attaching the slides from my talk. feel free to respond with the things you find to apply to your journey and also with things that you find different or missing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mypathtodatascience-180825215005-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My path to data science I had the privilege to speak alongside Omri Allouche and Aaron Frazer in the Big Data Analytics Israel meetup group about my path to data science. Following the interest from the audience I&#39;m attaching the slides from my talk. feel free to respond with the things you find to apply to your journey and also with things that you find different or missing
My path to data science from Nathaniel Shimoni
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Introduction to competitive data science /slideshow/introduction-to-competitive-data-science/94792237 introductiontocompetitivedatascience-180423194757
Introduction to data science presentation I gave on the DMBI data hackathon prep night]]>

Introduction to data science presentation I gave on the DMBI data hackathon prep night]]>
Mon, 23 Apr 2018 19:47:57 GMT /slideshow/introduction-to-competitive-data-science/94792237 NathanielShimoni@slideshare.net(NathanielShimoni) Introduction to competitive data science NathanielShimoni Introduction to data science presentation I gave on the DMBI data hackathon prep night <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontocompetitivedatascience-180423194757-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction to data science presentation I gave on the DMBI data hackathon prep night
Introduction to competitive data science from Nathaniel Shimoni
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Starting data science with kaggle.com /slideshow/starting-data-science-with-kagglecom/77260754 startingdatasciencewithkaggle-170626100908
際際滷s of the presentation I gave at the Tensorflow Tel-Aviv meetup 25/6/2017 about the benefits of starting data science with Kaggle.com]]>

際際滷s of the presentation I gave at the Tensorflow Tel-Aviv meetup 25/6/2017 about the benefits of starting data science with Kaggle.com]]>
Mon, 26 Jun 2017 10:09:08 GMT /slideshow/starting-data-science-with-kagglecom/77260754 NathanielShimoni@slideshare.net(NathanielShimoni) Starting data science with kaggle.com NathanielShimoni 際際滷s of the presentation I gave at the Tensorflow Tel-Aviv meetup 25/6/2017 about the benefits of starting data science with Kaggle.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/startingdatasciencewithkaggle-170626100908-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s of the presentation I gave at the Tensorflow Tel-Aviv meetup 25/6/2017 about the benefits of starting data science with Kaggle.com
Starting data science with kaggle.com from Nathaniel Shimoni
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