Designed to introduce you to the most relevant and powerful machine learning techniques used by today’s top data scientists, this book delivers clear examples and detailed code samples to demonstrate deep learning techniques, semi-supervised learning, and more. The techniques covered in this book are at the forefront of commercial practice and will help you break into this lucrative, growing industry.
- Compete w/ top data scientists by gaining a practical & theoretical understanding of cutting-edge deep learning algorithms
- Apply your new found skills to solve real problems
- Automate large sets of complex data & overcome time-consuming practical challenges
- Improve the accuracy of models & your existing input data using feature engineering techniques
- Use multiple learning techniques together to improve the consistency of results
- Understand the hidden structure of datasets using a range of unsupervised techniques
- Improve the effectiveness of your deep learning models further by using ensembling techniques to strap multiple models together
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