Real-World Machine Learning

Real-World Machine Learning
Author :
Publisher : Simon and Schuster
Total Pages : 380
Release :
ISBN-10 : 9781638357001
ISBN-13 : 1638357005
Rating : 4/5 (01 Downloads)

Book Synopsis Real-World Machine Learning by : Henrik Brink

Download or read book Real-World Machine Learning written by Henrik Brink and published by Simon and Schuster. This book was released on 2016-09-15 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand. About the Book Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems. What's Inside Predicting future behavior Performance evaluation and optimization Analyzing sentiment and making recommendations About the Reader No prior machine learning experience assumed. Readers should know Python. About the Authors Henrik Brink, Joseph Richards and Mark Fetherolf are experienced data scientists engaged in the daily practice of machine learning. Table of Contents PART 1: THE MACHINE-LEARNING WORKFLOW What is machine learning? Real-world data Modeling and prediction Model evaluation and optimization Basic feature engineering PART 2: PRACTICAL APPLICATION Example: NYC taxi data Advanced feature engineering Advanced NLP example: movie review sentiment Scaling machine-learning workflows Example: digital display advertising


Real-World Machine Learning Related Books

Real-World Machine Learning
Language: en
Pages: 380
Authors: Henrik Brink
Categories: Computers
Type: BOOK - Published: 2016-09-15 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Summary Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academi
Real-World Machine Learning
Language: en
Pages: 400
Authors: Henrik Brink
Categories: Computers
Type: BOOK - Published: 2016-03-02 - Publisher:

DOWNLOAD EBOOK

In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component of the data workflow. Machine lear
Python: Real World Machine Learning
Language: en
Pages: 941
Authors: Prateek Joshi
Categories: Computers
Type: BOOK - Published: 2016-11-14 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in
Real World AI
Language: en
Pages: 222
Authors: Alyssa Simpson Rochwerger
Categories:
Type: BOOK - Published: 2021-03-16 - Publisher: Lioncrest Publishing

DOWNLOAD EBOOK

How can you successfully deploy AI? When AI works, it's nothing short of brilliant, helping companies make or save tremendous amounts of money while delighting
Practical Machine Learning with Python
Language: en
Pages: 545
Authors: Dipanjan Sarkar
Categories: Computers
Type: BOOK - Published: 2017-12-20 - Publisher: Apress

DOWNLOAD EBOOK

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the