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Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. 6 %âãÏÓ 3009 0 obj > endobj 3010 0 obj >/Font >>>/Fields[]>> endobj 3011 0 obj >stream 2017-11-14T12:24:36Z 2017-11-14T19:02:57+05:30 2017-11-14T19:02:57+05:30 Hello! Welcome to this guide to advanced machine learning using Python. ft. . Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT) - curiousily/Deep-Learning-For-Hackers In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. Let’s get started with your hello world machine learning project in Python. Python as well as matplotlib and PIL for machine learning and image recognition purposes. 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