Machine Learning Bookcamp: Build a portfolio of real-life projectsКНИГИ » ПРОГРАММИНГ
Название: Machine Learning Bookcamp: Build a portfolio of real-life projects Автор: Alexey Grigorev Издательство: Manning Publications Год: 2021 Формат: True PDF Страниц: 473 Размер: 40 Mb Язык: English
Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application. The only way to learn is to practice! In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
In Machine Learning Bookcamp you will: Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images Deploy ML models to a production-ready environment
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Machine Learning Bookcamp: Build a portfolio of real-life projects 
