Machine Learning Bookcamp: Build a Portfolio of Real-Life Projects

Machine Learning Bookcamp: Build a Portfolio of Real-Life Projects

作者: Grigorev Alexey
出版社: Manning
出版在: 2021-11-23
ISBN-13: 9781617296819
ISBN-10: 1617296813
裝訂格式: Quality Paper - also called trade paper
總頁數: 472 頁





內容描述


In Machine Learning Bookcamp you'll learn the essentials of machine learning by completing a carefully designed set of real-world projects.
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.
In Machine Learning Bookcamp you'll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you've learned in previous chapters. By the end of the bookcamp, you'll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.


作者介紹


Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.




相關書籍

R Deep Learning Essentials - Second Edition: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet

作者 Mark Hodnett Joshua F. Wiley

2021-11-23

行銷資料科學|大數據x市場分析x人工智慧

作者 羅凱揚 蘇宇暉 鍾皓軒

2021-11-23

Practical Data Science with R 2nd Edition

作者 Nina Zumel John Mount

2021-11-23