Advanced Machine Learning Practical Applications and Use cases

Conference Notes on some interesting practical applications. Implementation approaches are explained in related videos and slides.

Data Science Summit 2016           
             ~ https://www.youtube.com/channel/UCqP3XX03Rl_nQAz0eqXXAYw
ML Conf 2016 ~ https://livestream.com/mlconf
             ~ http://www.slideshare.net/SessionsEvents/presentations
  • Advanced Recommender Applications

~ Deep Personalization Techniques by Amazon – https://www.youtube.com/watch? v=MMu0nDA-nog , https://www.youtube.com/watch? v=ofaPq5aRKZ0&index=10&list=PLrbAIdPI69Pi88waiIv8gZ3agEU_hBaVM

~Graph Reco Algo by Teachers-pay-Teachers https://www.youtube.com/watch? v=oFXVbvVqHpY

~Stitch-Fix Synthesize human-machine capabilities https://www.youtube.com/watch?v=flLCO6An6xI

~ Community Detectionhttps://www.youtube.com/watch?v=uS6ifgdp86w
~ Explain the Recommendations –  https://www.youtube.com/watch?v=ABweFa7Y6aA

  • Amazon Search

https://www.youtube.com/watch?v=NLrhmn- EZ88&list=PLrbAIdPI69Pi88waiIv8gZ3agEU_hBaVM&index=6

  • Natural Language Understanding

~ (NLP & ElasticSearch) https://www.youtube.com/watch?v=L0zQh-ii3sI

~ (Walmart Labs Product Review) https://www.youtube.com/watch? v=GYhb6sb4YYk&index=17&list=PLrbAIdPI69Pi88waiIv8gZ3agEU_hBaVM ~(Medical Data Analysis) https://www.youtube.com/watch?v=QwN1U6nlA5E

  • Digital Marketing

~ AOL – AdLearn Platform – https://www.youtube.com/watch?v=vJh6Nd7tCok

  • Personalized Content Blending

~ Pinterest Usecase –  https://www.youtube.com/watch?v=mN6MrzL1i78 , – https://www.youtube.com/watch?v=QcW1tOHybak&list=PLrbAIdPI69Pi88waiIv8gZ3agEU_hBaVM&index=7

  • Anomaly and Pattern Detection from multi-dimensional time-series

~ https://www.youtube.com/watch?v=UxJB_5PyKTI

~ Intel IoT – https://www.youtube.com/watch?v=DD_BbAb9RhM

  • Deep Learning Apps

~ Image Similarityhttps://www.youtube.com/watch?v=DJnLfaG6xZE
~ Question Answering Systemhttps://www.youtube.com/watch?v=aHuLDhh3Rxw ~ https://www.youtube.com/watch?v=GxZUdZMPGpQ
~ Spoken Labhttps://www.youtube.com/watch?v=bDJtSqyKHyA

Excerpts from the sessions ~ http://www.slideshare.net/kaniskamandal/machine-learning-advanced-applications

Additional Notes:

Deep Learning Resources:
1. Foundations of Deep Learning (Hugo Larochelle, Twitter) - https://youtu.be/zij_FTbJHsk
2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) - https://youtu.be/u6aEYuemt0M
3. Deep Learning for Natural Language Processing (Richard Socher, Salesforce) - https://youtu.be/oGk1v1jQITw
4. TensorFlow Tutorial (Sherry Moore, Google Brain) - https://youtu.be/Ejec3ID_h0w
5. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU) - https://youtu.be/rK6bchqeaN8
6. Nuts and Bolts of Applying Deep Learning (Andrew Ng) - https://youtu.be/F1ka6a13S9I
7. Deep Reinforcement Learning (John Schulman, OpenAI) - https://youtu.be/PtAIh9KSnjo
8. Theano Tutorial (Pascal Lamblin, MILA) - https://youtu.be/OU8I1oJ9HhI
9. Deep Learning for Speech Recognition (Adam Coates, Baidu) - https://youtu.be/g-sndkf7mCs
10. Torch Tutorial (Alex Wiltschko, Twitter) - https://youtu.be/L1sHcj3qDNc
11. Sequence to Sequence Deep Learning (Quoc Le, Google) - https://youtu.be/G5RY_SUJih4
12. Foundations and Challenges of Deep Learning (Yoshua Bengio) - https://youtu.be/11rsu_WwZTc

Full Day Live Streams:
Day 1: https://youtu.be/eyovmAtoUx0
Day 2: https://youtu.be/9dXiAecyJrY

Go to http://www.bayareadlschool.org

 

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