Introducing Machine Learning

Introducing Machine Learning

作者: Esposito Dino Francesco
出版社: MicroSoft
出版在: 2020-03-01
ISBN-13: 9780135565667
ISBN-10: 0135565669
裝訂格式: Quality Paper - also called trade paper
總頁數: 256 頁





內容描述


Today, machine learning offers software professionals unparalleled opportunity for career growth. In Introducing Machine Learning, best-selling software development author, trainer, and consultant Dino Esposito offers a complete introduction to the field for programmers, architects, lead developers, and managers alike.
Esposito begins by illuminating what's known about how humans and machines learn, introducing the most important classes of machine learning algorithms, and explaining what each of them can do. Esposito demystifies key concepts ranging from neural networks to supervised and unsupervised learning. Next, he explains each step needed to build a successful machine learning solution, from collecting and fine-tuning source data to building and testing your solution.
Then, building on these essentials, he guides you through constructing two complete solutions with ML.NET, Microsoft's powerful open source and cross-platform machine learning framework. Step by step, you'll create systems for performing sentiment analysis on social feeds, and analyzing traffic to predict accidents. By the time you're finished, you'll be ready to participate in data science projects and build working solutions of your own.




相關書籍

Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)

作者 Jonas Peters Dominik Janzing Bernhard Schölkopf

2020-03-01

Machine Learning: a Concise Introduction (Hardcover)

作者 Steven W. Knox

2020-03-01

深度學習計算機視覺實戰

作者 肖鈴 劉東

2020-03-01