Machine Learning Applications Using Python

2018-12-12 Computers

Author : Puneet Mathur
Release : 2018-12-12
Genre : Computers
Kind : eBook
Book Rating : 870/5 ( reviews)

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Book Synopsis Machine Learning Applications Using Python by : Puneet Mathur

Download or read book Machine Learning Applications Using Python written by Puneet Mathur. This book was released on 2018-12-12. Available in PDF, EPUB and Kindle. Book excerpt: Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning. What You Will LearnDiscover applied machine learning processes and principles Implement machine learning in areas of healthcare, finance, and retail Avoid the pitfalls of implementing applied machine learning Build Python machine learning examples in the three subject areas Who This Book Is For Data scientists and machine learning professionals.

Machine Learning Guide for Oil and Gas Using Python

2021-04-09 Science

Author : Hoss Belyadi
Release : 2021-04-09
Genre : Science
Kind : eBook
Book Rating : 300/5 ( reviews)

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Book Synopsis Machine Learning Guide for Oil and Gas Using Python by : Hoss Belyadi

Download or read book Machine Learning Guide for Oil and Gas Using Python written by Hoss Belyadi. This book was released on 2021-04-09. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. - Helps readers understand how open-source Python can be utilized in practical oil and gas challenges - Covers the most commonly used algorithms for both supervised and unsupervised learning - Presents a balanced approach of both theory and practicality while progressing from introductory to advanced analytical techniques

Introduction to Machine Learning with Python

2016-09-26 Computers

Author : Andreas C. Müller
Release : 2016-09-26
Genre : Computers
Kind : eBook
Book Rating : 898/5 ( reviews)

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Book Synopsis Introduction to Machine Learning with Python by : Andreas C. Müller

Download or read book Introduction to Machine Learning with Python written by Andreas C. Müller. This book was released on 2016-09-26. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills

Machine Learning Algorithms Using Python Programming

2021 Computers

Author : Gopal Sakarkar
Release : 2021
Genre : Computers
Kind : eBook
Book Rating : 153/5 ( reviews)

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Book Synopsis Machine Learning Algorithms Using Python Programming by : Gopal Sakarkar

Download or read book Machine Learning Algorithms Using Python Programming written by Gopal Sakarkar. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: "The machine learning field is concerned with the question of how to create computer programs that automatically improve information. In recent years, many successful electronic learning applications have been made, from data mining systems that learn to detect fraudulent credit card transactions, filtering programs that learn user readings, to private cars that learn to drive on public highways. At the same time, there have been significant developments in the concepts and algorithms that form the basis for this field. Machine learning is programming computers to optimize a performance criterion using example data or past experience. The goal of this textbook is to present the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning"--

Machine Learning Applications Using Python

2019 Artificial intelligence

Author : Puneet Mathur
Release : 2019
Genre : Artificial intelligence
Kind : eBook
Book Rating : 885/5 ( reviews)

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Book Synopsis Machine Learning Applications Using Python by : Puneet Mathur

Download or read book Machine Learning Applications Using Python written by Puneet Mathur. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: "Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you'll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented. "Machine learning applications using Python" is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You'll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning."--Provided by publisher

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Machine Learning Applications Using Python

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