狠狠撸shows by User: MartynasSukys
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Sat, 13 Apr 2019 17:24:34 GMT狠狠撸Share feed for 狠狠撸shows by User: MartynasSukysFraud in Ecommerce
/slideshow/fraud-in-ecommerce/140725083
fraudinecommerce-190413172435 Today commerce face many challenges as they collect user data and their card details. Fraudsters are attacking bot big and small merchants anywhere in the world. The slides are about identifying fraud and fighting against it. ]]>
Today commerce face many challenges as they collect user data and their card details. Fraudsters are attacking bot big and small merchants anywhere in the world. The slides are about identifying fraud and fighting against it. ]]>
Sat, 13 Apr 2019 17:24:34 GMT/slideshow/fraud-in-ecommerce/140725083MartynasSukys@slideshare.net(MartynasSukys)Fraud in EcommerceMartynasSukysToday commerce face many challenges as they collect user data and their card details. Fraudsters are attacking bot big and small merchants anywhere in the world. The slides are about identifying fraud and fighting against it. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fraudinecommerce-190413172435-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Today commerce face many challenges as they collect user data and their card details. Fraudsters are attacking bot big and small merchants anywhere in the world. The slides are about identifying fraud and fighting against it.
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8201https://cdn.slidesharecdn.com/ss_thumbnails/fraudinecommerce-190413172435-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Fraud in igaming 101
/slideshow/fraud-in-igaming-101/139950500
fraudinigaming101-190407212304 The presentation is about essentials in Fraud origin in i-gaming industry and its potential protection. ]]>
The presentation is about essentials in Fraud origin in i-gaming industry and its potential protection. ]]>
Sun, 07 Apr 2019 21:23:04 GMT/slideshow/fraud-in-igaming-101/139950500MartynasSukys@slideshare.net(MartynasSukys)Fraud in igaming 101MartynasSukysThe presentation is about essentials in Fraud origin in i-gaming industry and its potential protection. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fraudinigaming101-190407212304-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> The presentation is about essentials in Fraud origin in i-gaming industry and its potential protection.
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4374https://cdn.slidesharecdn.com/ss_thumbnails/fraudinigaming101-190407212304-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Fighting telecom fraud. Explaining SMS SS7 fraud
/slideshow/fighting-telecom-fraud-explaining-sms-ss7-fraud/139847417
fightingtelecomfraud-190406153611 the presentation is about the potential fraud over SS7 SMS network telecoms face ]]>
the presentation is about the potential fraud over SS7 SMS network telecoms face ]]>
Sat, 06 Apr 2019 15:36:11 GMT/slideshow/fighting-telecom-fraud-explaining-sms-ss7-fraud/139847417MartynasSukys@slideshare.net(MartynasSukys)Fighting telecom fraud. Explaining SMS SS7 fraudMartynasSukysthe presentation is about the potential fraud over SS7 SMS network telecoms face <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fightingtelecomfraud-190406153611-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> the presentation is about the potential fraud over SS7 SMS network telecoms face
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2542https://cdn.slidesharecdn.com/ss_thumbnails/fightingtelecomfraud-190406153611-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Machine learning outsource or not outsource
/slideshow/machine-learning-outsource-or-not-outsource/139825023
machinelearningoutsourceornotoutsource-190406115711 The pros and cons of outsourcing machine learning projects and products to run the business. The presentation covered both the advantages and disadvantages of machine learning outsourcing.]]>
The pros and cons of outsourcing machine learning projects and products to run the business. The presentation covered both the advantages and disadvantages of machine learning outsourcing.]]>
Sat, 06 Apr 2019 11:57:11 GMT/slideshow/machine-learning-outsource-or-not-outsource/139825023MartynasSukys@slideshare.net(MartynasSukys)Machine learning outsource or not outsourceMartynasSukysThe pros and cons of outsourcing machine learning projects and products to run the business. The presentation covered both the advantages and disadvantages of machine learning outsourcing.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningoutsourceornotoutsource-190406115711-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> The pros and cons of outsourcing machine learning projects and products to run the business. The presentation covered both the advantages and disadvantages of machine learning outsourcing.
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271https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningoutsourceornotoutsource-190406115711-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0What is Machine Learning
/slideshow/what-is-machine-learning-139810006/139810006
whatismachinelearningmartynsukysparis2016-190406083042 What is Machine Learning, its differences between AI and ML, the application areas and what does it need to be a machine learning engineer]]>
What is Machine Learning, its differences between AI and ML, the application areas and what does it need to be a machine learning engineer]]>
Sat, 06 Apr 2019 08:30:42 GMT/slideshow/what-is-machine-learning-139810006/139810006MartynasSukys@slideshare.net(MartynasSukys)What is Machine LearningMartynasSukysWhat is Machine Learning, its differences between AI and ML, the application areas and what does it need to be a machine learning engineer<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whatismachinelearningmartynsukysparis2016-190406083042-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> What is Machine Learning, its differences between AI and ML, the application areas and what does it need to be a machine learning engineer
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7176https://cdn.slidesharecdn.com/ss_thumbnails/dtpresentationshare-160308230436-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Kas bendro tarp agile ir inovaciju
/slideshow/kas-bendro-tarp-agile-ir-inovaciju/20994755
kasbendrotarpagileirinovaciju-130511135210-phpapp01 ]]>
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Sat, 11 May 2013 13:52:10 GMT/slideshow/kas-bendro-tarp-agile-ir-inovaciju/20994755MartynasSukys@slideshare.net(MartynasSukys)Kas bendro tarp agile ir inovacijuMartynasSukys<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kasbendrotarpagileirinovaciju-130511135210-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br>
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3092https://cdn.slidesharecdn.com/ss_thumbnails/10inovacijosmitu-130323172224-phpapp01-thumbnail.jpg?width=120&height=120&fit=boundspresentationWhitehttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0https://cdn.slidesharecdn.com/profile-photo-MartynasSukys-48x48.jpg?cb=1596445845Interested in Machine learning application to business needs https://cdn.slidesharecdn.com/ss_thumbnails/fraudinecommerce-190413172435-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/fraud-in-ecommerce/140725083Fraud in Ecommercehttps://cdn.slidesharecdn.com/ss_thumbnails/fraudinigaming101-190407212304-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/fraud-in-igaming-101/139950500Fraud in igaming 101https://cdn.slidesharecdn.com/ss_thumbnails/fightingtelecomfraud-190406153611-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/fighting-telecom-fraud-explaining-sms-ss7-fraud/139847417Fighting telecom fraud...