Machine Learning for Decision Makers
Cognitive Computing Fundamentals for Better Decision Making
| Price | $29.99 - $31.13
|
| Rating |   |
| Author | Patanjali Kashyap |
| Publisher | Apress |
| Published | 2017 |
| Pages | 355 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1484229878 |
| ISBN-13 | 9781484229873 |
Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other.
This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making.
The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business.
Discover the machine learning, big data, and cloud and cognitive computing technology stack; Gain insights into machine learning concepts and practices; Understand business and enterprise decision-making using machine learning; Absorb machine-learning best practices.
- Patanjali Kashyap
4 5 4
Similar Books
by Drew Conway, John Myles White
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning - a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of ha...
Price: $18.12 | Publisher: O'Reilly Media | Release: 2012
Reinforcement and Systemic Machine Learning for Decision Making
by Parag Kulkarni
There are always difficulties in making machines that learn from experience. Complete information is not always available - or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book t...
Price: $76.50 | Publisher: Wiley | Release: 2012
Practical Machine Learning for Computer Vision
by Valliappa Lakshmanan, Martin Görner, Ryan Gillard
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a gr...
Price: $59.54 | Publisher: O'Reilly Media | Release: 2021
by Nick Pentreath
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2015
Mastering Azure Machine Learning, 2nd Edition
by Christoph Korner, Marcel Alsdorf
Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logg...
Price: $41.99 | Publisher: Packt Publishing | Release: 2022
Machine Learning for Streaming Data with Python
by Joos Korstanje
Streaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapt...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022
by Jannes Klaas
Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourse...
Price: $39.99 | Publisher: Packt Publishing | Release: 2019
Machine Learning for Healthcare Analytics Projects
by Eduonix Learning Solutions
Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creatin...
Price: $23.99 | Publisher: Packt Publishing | Release: 2018