Machine Learning for Decision Makers
Cognitive Computing Fundamentals for Better Decision Making
| Price | $29.99 - $35.32
|
| 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
Similar Books
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
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: $31.99 | 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
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 hands-o...
Price: $18.12 | Publisher: O'Reilly Media | Release: 2012
by Akhil Wali
Clojure for Machine Learning is an introduction to machine learning techniques and algorithms. This book demonstrates how you can apply these techniques to real-world problems using the Clojure programming language.It explores many machine learning techniques and also describes how to use Clojure to build machine learning systems. This bo...
Price: $29.99 | Publisher: Packt Publishing | Release: 2014
by Patrick R. Nicolas
The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering designs, biometrics, and trading strategies, to detection of genetic anomalies.The book begins with an introduction to the...
Price: $35.99 | Publisher: Packt Publishing | Release: 2014
F# for Machine Learning Essentials
by Sudipta Mukherjee
The F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs.If you want to learn how to use F# to build machine learning systems, then this is th...
Price: $31.99 | Publisher: Packt Publishing | Release: 2016
by Henry Garner
The term "data science" has been widely used to define this new profession that is expected to interpret vast datasets and translate them to improved decision-making and performance. Clojure is a powerful language that combines the interactivity of a scripting language with the speed of a compiled language. Together with its ric...
Price: $35.99 | Publisher: Packt Publishing | Release: 2015