This section is meant as a guide to help you get oriented in the discovery of Machine Learning and Artificial Intelligence.
This page will be completed as time goes by… if you have any questions or suggestions, don’t hesitate to send me a message on Linkedin 😉
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Online and without installation
- Google Colab (the software we recommend 🎯)
- Kaggle Notebooks
Locally and with installation
- Anaconda’s Jupyter Notebook
Data Mining / Exploration :
Machine Learning :
Deep Learning :
- Tensorflow developed by Google
- PyTorch developed by Facebook
Note that Keras and TensorFlow have been merged into TensorFlow 2.0, although you can still use both separately.
Keras is a pretty simple and fast solution to perform Deep Learning, perfect for beginners.
I’ve noticed that experts on Kaggle tend to use PyTorch for its “clarity of implementation, dynamism and flexibility”.
Choose the library you like best!
Books to read
- F. Chollet, Deep Learning with Python (2017, Manning)
- L. Antiga, Deep Learning with PyTorch (2020, Manning)
- N. Shukla, Machine Learning with TensorFlow (2018, Manning)
Feel free to buy these books using our affiliate links (you fund us while buying at the same price 🎉)
News and Articles :
- Machine Learning Mastery
- Towards Data Science
- And of course our website : Inside Machine Learning
Finding Datasets :
Discover Machine Learning in a entertaining way
- Elon Musk’s Open AI
- AI Google Blog
Testing without coding
You can use these sites powered by Artificial Intelligence to see what Machine Learning is capable of :
- Enter the beginning of a sentence and an AI will finish it for you : Talk to Transformer
- Automatically recognize and classify audio and images, try Google’s Teachable Machine
- Composing music by Artificial Intelligence with Magenta
- Our Deep Fake application
Guide Machine Learning
Photo by Lanju Fotografie on Unsplash