Deploying Machine Learning

Deploying Machine Learning
Author :
Publisher : Addison-Wesley Professional
Total Pages : 99998
Release :
ISBN-10 : 0135226201
ISBN-13 : 9780135226209
Rating : 4/5 (209 Downloads)

Book Synopsis Deploying Machine Learning by : Robbie Allen

Download or read book Deploying Machine Learning written by Robbie Allen and published by Addison-Wesley Professional. This book was released on 2019-05 with total page 99998 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.


Deploying Machine Learning Related Books

Deploying Machine Learning
Language: en
Pages: 99998
Authors: Robbie Allen
Categories: Computers
Type: BOOK - Published: 2019-05 - Publisher: Addison-Wesley Professional

DOWNLOAD EBOOK

Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most dis
Artificial Intelligence in Healthcare
Language: en
Pages: 385
Authors: Adam Bohr
Categories: Computers
Type: BOOK - Published: 2020-06-21 - Publisher: Academic Press

DOWNLOAD EBOOK

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of heal
Artificial Intelligence
Language: en
Pages: 160
Authors: Harvard Business Review
Categories: Business & Economics
Type: BOOK - Published: 2019 - Publisher: HBR Insights

DOWNLOAD EBOOK

Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the econ
Navigating Cybercultures
Language: en
Pages: 248
Authors: Nicholas van Orden
Categories: Social Science
Type: BOOK - Published: 2019-01-04 - Publisher: BRILL

DOWNLOAD EBOOK

The papers collected here address the questions about posthumanism, hybridity, humanity, subjectivity, and aesthetics that echo through all of our daily attempt
The Quest for Artificial Intelligence
Language: en
Pages: 644
Authors: Nils J. Nilsson
Categories: Computers
Type: BOOK - Published: 2009-10-30 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the hi