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محتوای ارائه شده توسط InfoQ. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط InfoQ یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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John Langford on Vowpal Wabbit, Used by MSN, and Machine Learning in Industry

23:35
 
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Manage episode 194839216 series 1897283
محتوای ارائه شده توسط InfoQ. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط InfoQ یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this week's podcast QCon chair Wesley Reisz talks to Machine learning research scientist John Langford. Topics include his Machine Learning system Vowpal Wabbit, designed to be very efficient and incorporating some of the latest algorithms in the space. Vowpal Wabbit is used for news personalisation on MSN. They also discuss how to get started in the field and it’s shift from academic research to industry use. Why listen to this podcast: - Vowpal Wabbit is a ML system that attempts to incorporate some of the latest machine learning algorithms. - How to learn ML: take a class or two, get accustomed with learning theory and practice. - ML has moved from the research field into the industry, 4 out of 9 ICML tutorials coming from the industry. - It’s hard to predict when you have enough data. - AlphaGo is a milestone in artificial intelligence. It uses reinforcement learning, deep learning and existing moves played by Go masters. - Deep Learning is currently a disruptive technology in areas such a vision or speech recognition. - What’s trendy: Neural Networks, Reinforcement and Contextual Learning. - Machine Learning is being commoditized. Notes and links can be found on http://bit.ly/2b4YNqQ How to Approach Machine Learning 6m:12s To start learning Machine Learning, Langford recommends taking a class or two, mentioning the course by Andrew Ng and another course by Yaser S. Abu-Mostafa. 6m:50s It is recommended to get accustomed with learning theory to avoid some of the rookie's mistakes. Quick scan our curated show notes on InfoQ. http://bit.ly/2atBFgk You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. http://bit.ly/24x3IVq
  continue reading

4 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 194839216 series 1897283
محتوای ارائه شده توسط InfoQ. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط InfoQ یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this week's podcast QCon chair Wesley Reisz talks to Machine learning research scientist John Langford. Topics include his Machine Learning system Vowpal Wabbit, designed to be very efficient and incorporating some of the latest algorithms in the space. Vowpal Wabbit is used for news personalisation on MSN. They also discuss how to get started in the field and it’s shift from academic research to industry use. Why listen to this podcast: - Vowpal Wabbit is a ML system that attempts to incorporate some of the latest machine learning algorithms. - How to learn ML: take a class or two, get accustomed with learning theory and practice. - ML has moved from the research field into the industry, 4 out of 9 ICML tutorials coming from the industry. - It’s hard to predict when you have enough data. - AlphaGo is a milestone in artificial intelligence. It uses reinforcement learning, deep learning and existing moves played by Go masters. - Deep Learning is currently a disruptive technology in areas such a vision or speech recognition. - What’s trendy: Neural Networks, Reinforcement and Contextual Learning. - Machine Learning is being commoditized. Notes and links can be found on http://bit.ly/2b4YNqQ How to Approach Machine Learning 6m:12s To start learning Machine Learning, Langford recommends taking a class or two, mentioning the course by Andrew Ng and another course by Yaser S. Abu-Mostafa. 6m:50s It is recommended to get accustomed with learning theory to avoid some of the rookie's mistakes. Quick scan our curated show notes on InfoQ. http://bit.ly/2atBFgk You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. http://bit.ly/24x3IVq
  continue reading

4 قسمت

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