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Machine Learning Part 1 - SciPy 2016 Tutorial - Andreas Mueller & Sebastian Raschka
September 20th, Machine learning is eating the software world, and now deep learning is extending machine learning. This highly acclaimed book has been modernized to include the popular TensorFlow deep learning library, essential coverage of the Keras neural network library, and the latest scikit-learn machine learning library updates.
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Python Machine Learning, 1st Edition
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics. If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning — whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data — its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.