Название: Machine Learning Bookcamp: Build a portfolio of real-life projectsАвтор: 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