Machine Learning: An Applied Mathematics Introduction

Name: Machine Learning: An Applied Mathematics Introduction
Price: 19.99 USD
Availability: InStock
Rating: 4.4 (212 reviews)

4.4 of 5 Stars: Reference - Machine Learning: An Applied Mathematics Introduction

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Description

Book Synopsis: A fully self-contained introduction to machine learning.

All that the reader requires is an understanding of the basics of matrix algebra and calculus. Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the most important techniques.

Chapter list:

Introduction (Putting ML into context. Comparing and contrasting with classical mathematical and statistical modelling)
General Matters (In one chapter all of the mathematical concepts you'll need to know. From jargon and notation to maximum likelihood, from information theory and entropy to bias and variance, from cost functions to confusion matrices, and more)
K Nearest Neighbours
K Means Clustering
Naïve Bayes Classifier
Regression Methods
Support Vector Machines
Self-Organizing Maps
Decision Trees
Neural Networks
Reinforcement Learning

An appendix contains links to data used in the book, and more.

The book includes many real-world examples from a variety of fields including:

finance (volatility modelling)
economics (interest rates, inflation and GDP)
politics (classifying politicians according to their voting records)
business (using CEO speeches to determine stock price movement)
biology (recognising flower varieties, and using heights and weights of adults to determine gender)
sociology (classifying locations according to crime statistics)
gambling (fruit machines and Blackjack)
marketing (classifying the members of his own website to see who will subscribe to his magazine)

Paul Wilmott brings three decades of experience in education, and his inimitable style, to this, the hottest of subjects. This book is an accessible introduction for anyone who wants to understand the foundations and put the tools into practice.

Paul Wilmott has been called “cult derivatives lecturer” by the Financial Times and “financial mathematics guru” by the BBC.

Details

Are you ready to unlock the power of machine learning? Look no further than Machine Learning: An Applied Mathematics Introduction. This comprehensive book provides everything you need to dive into the world of machine learning, even if you only have a basic understanding of matrix algebra and calculus. No more feeling overwhelmed by complex mathematical concepts - we've got you covered!

From the very beginning, you'll learn how machine learning fits into the larger mathematical and statistical modeling landscape. Discover the key mathematical concepts and techniques you need to know, from maximum likelihood to cost functions and confusion matrices. With clear explanations and real-world examples, you'll quickly grasp the essentials.

But that's not all! Machine Learning: An Applied Mathematics Introduction covers a wide range of machine learning algorithms and methods, including K Nearest Neighbours, K Means Clustering, Naïve Bayes Classifier, Regression Methods, Support Vector Machines, Self-Organizing Maps, Decision Trees, Neural Networks, and Reinforcement Learning. Plus, an appendix provides convenient links to data used in the book and more.

This book goes above and beyond by showcasing practical examples from various fields. Whether you're interested in finance, economics, politics, business, biology, sociology, gambling, or marketing, you'll find real-world applications that make the concepts come alive. Imagine being able to classify politicians based on their voting records or predict stock price movements using CEO speeches - it's all within your reach.

Author Paul Wilmott's expertise shines through in this accessible introduction. With over three decades of experience in education, he brings his unique teaching style to help you understand the foundations of machine learning and put the tools into practice. As a renowned derivatives lecturer and financial mathematics guru, you can trust Wilmott to guide you on this exciting journey.

Don't miss out on this opportunity to gain a solid understanding of machine learning. Take the first step towards unlocking its potential by getting your copy of Machine Learning: An Applied Mathematics Introduction today. Visit our website for more information and place your order now!

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