
Machine Learning Bookcamp, 1st edition
Published by Manning Publications (November 26, 2021) © 2022
- Alexey Grigorev
Details
- A print text
- Free shipping
- Also available for purchase as an ebook from all major ebook resellers, including InformIT.com
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Title overview
about the technology
Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that’s exactly what you’ll be doing in Machine Learning Bookcamp.about the book
In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you’ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You’ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you’re done working through these fun and informative projects, you’ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.what's inside
- Code fundamental ML algorithms from scratch
- Collect and clean data for training models
- Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow
- Apply ML to complex datasets with images and text
- Deploy ML models to a production-ready environment