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Applied AI ML
Carlo Cayos edited this page Nov 6, 2021
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AI/ML in practice. Cloud, AutoML, DevOps, Programming, Data Engineering, Books, and Resources.
- ⭐ Hands-on Machine Learning with Scikit-Learn, Keras, and Tensorflow
- ⭐ Storytelling with Data: A Data Visualization Guide for Business Professionals
- Jupyter - interactive computational notebook
- Google Collab - Jupyter notebook in the cloud
- Tensorflow
- PyTorch
- Keras - Python Deep Learning API
- Scikit-learn - machine learning library
- Pandas - for data analysis and manipuation
- Numpy - Python package for scientific computing
- OpenAI Gym for Reinforcement Learning
- MuJoCo Advanced Physics Simulation
- Matplotlib - library for creating static, animated, and interactive visualizations in Python
- Plotly - graphing library for Python
- Dash - made by Plotly, web interface built on top of Plotly
- Seaborn - Seaborn is a Python data visualization library based on matplotlib
- Tableau - public version but limited use
Start here for the AutoML Tools summary