Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production (English Edition)
by: Avishek Nag
Publisher finelybook 出版社: BPB Publications (April 30,2020)
Language 语言: English
Print Length 页数: 338 pages
ISBN-10: 938984536X
ISBN-13: 9789389845365
Book Description
By finelybook
An easy-to-understand guide to learn practical Machine Learning techniques with Mathematical foundations
Key Features
A balanced combination of underlying mathematical theories & practical examples with Python code
Coverage of latest topics like multi-label classification,Text Mining,Doc2Vec,Word2Vec,XMeans clustering,unsupervised outlier detection,techniques to deploy ML models in production-grade systems with PMML,etc
Coverage of sufficient & relevant visualization techniques specific to any topic
This book will be ideal for working professionals who want to learn Machine Learning from scratch. The first chapter will be an introductory chapter to make readers comfortable with the idea of Machine Learning and the required mathematical theories. There will be a balanced combination of underlying mathematical theories corresponding to any Machine Learning topic and its implementation using Python. Most of the implementations will be based on ‘scikit-learn,’ but other Python libraries like ‘Gensim’ or ‘PyTorch’ will also be used for some topics like text analytics or deep learning. The book will be divided into chapters based on primary Machine Learning topics like Classification,Regression,Clustering,Deep Learning,Text Mining,etc. The book will also explain different techniques of putting Machine Learning models into production-grade systems using Big Data or Non-Big Data flavors and standards for exporting models.
What will you learn
Get familiar with practical concepts of Machine Learning from ground zero
Learn how to deploy Machine Learning models in production
Understand how to do “Data Science Storytelling”
Explore the latest topics in the current industry about Machine Learning
Pragmatic Machine Learning with Python 9789389845365.zip
