MLTrain Suggested topics
Hi ! We are designing new sessions for MLTrain.

We are considering advanced topics (i.e. very recent research papers) and/or more basic training.

We need your opinion: Which topics do you and your team find more interesting and more likely to join?
Depending on interest we could cover 1 hour or up to 5 hours for each topic.

Email address *
Machine Learning Basics
Introduction to Scikit-learn in Python and Tensorflow. Basics of Regression and Classification. Training with SGD. Feature engineering, Cross validation, Model selection. (Useful to someone with minimal prior exposure to ML but with Python knowledge). How interested would you or your team be in attending such a session?
Not very interested
Super interested
Intermediate Machine Learning
Intermediate to Advanced Machine learning. Bagging and Boosting. XGBoost. Combining and advanced tuning methods. Competing in Kaggle. Useful for someone who already builds models but wants a better understanding of how they work, how to improve them, and how robust they are. How interested would you or your team be in attending such a session?
Not very interested
Super interested
Reinforcement Learning
Programming self-driving cars. Playing games like Alpha-Go and Doom using neural networks. How interested would you or your team be in attending such a session?
Not very interested
Super interested
Natural Language Processing
Processing text, Word2Vec. Language understanding, chat bots and dialogue systems. RNNs and LSTMs. How interested would you or your team be in attending such a session?
Not very interested
Super interested
Time Series analytics with Deep Learning
Modeling and predicting time-series and time-signal data. Applications in financial and other time signals. RNNs and LSTMs. How interested would you or your team be in attending such a session?
Not very interested
Super interested
Check the Advanced topics you are interested in
The bleeding edge: Several hot topics in Deep learning. Check ones you find exciting and want to learn more about.
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