Sign-In
Cart
Machine Learning Algorithms - Second Edition: Popular algorithms for data science and machine learning, 2nd Edition
Paperback
ISBN13: 9781789347999
Publisher: Packt Pub
Published: Aug 30 2018
Pages: 522
Weight: 1.96
Height: 1.05 Width: 7.50 Depth: 9.25
Language: English
An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms
Key Features
- Explore statistics and complex mathematics for data-intensive applications
- Discover new developments in EM algorithm, PCA, and bayesian regression
- Study patterns and make predictions across various datasets
Book Description
Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight.
This second edition of Machine Learning Algorithms walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation across the areas of supervised, semi-supervised, and reinforcement learning. Once the core concepts of an algorithm have been covered, you'll explore real-world examples based on the most diffused libraries, such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent component analysis (ICA), Bayesian regression, discriminant analysis, advanced clustering, and gaussian mixture.
By the end of this book, you will have studied machine learning algorithms and be able to put them into production to make your machine learning applications more innovative.
What you will learn
- Study feature selection and the feature engineering process
- Assess performance and error trade-offs for linear regression
- Build a data model and understand how it works by using different types of algorithm
- Learn to tune the parameters of Support Vector Machines (SVM)
- Explore the concept of natural language processing (NLP) and recommendation systems
- Create a machine learning architecture from scratch
Who this book is for
Machine Learning Algorithms is for you if you are a machine learning engineer, data engineer, or junior data scientist who wants to advance in the field of predictive analytics and machine learning. Familiarity with R and Python will be an added advantage for getting the best from this book.
1 different editions
Also available
Machine Learning Algorithms: A reference guide to popular algorithms for data science and machine learning
Bonaccorso, Giuseppe
Paperback
Also in
Programming
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Collector's Edition
Piggyback
Hardcover
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
Kim, Gene
Forsgren Phd, Nicole
Humble, Jez
Paperback
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
Thomas, David
Hunt, Andrew
Hardcover
Cracking the Coding Interview: 189 Programming Questions and Solutions
McDowell, Gayle Laakmann
Paperback
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Standard Edition
Piggyback
Paperback
Vibe Coding: Building Production-Grade Software with Genai, Chat, Agents, and Beyond
Yegge, Steve
Kim, Gene
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
Learning Web Design: A Beginner's Guide to Html, Css, Javascript, and Web Images
Robbins, Jennifer
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Humble, Jez
Debois, Patrick
Kim, Gene
Paperback
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
Fournier, Camille
Paperback
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
Make: Electronics: Learning by Discovery: A Hands-On Primer for the New Electronics Enthusiast
Platt, Charles
Paperback
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
Reilly, Tanya
Paperback
Fundamentals of Software Architecture: A Modern Engineering Approach
Ford, Neal
Richards, Mark
Paperback
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
Occupytheweb
Paperback
Building AI-Powered Products: The Essential Guide to AI and Genai Product Management
Nika, Marily
Paperback
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Ford, Neal
Richards, Mark
Sadalage, Pramod
Paperback
Prompt Engineering for Llms: The Art and Science of Building Large Language Model-Based Applications
Berryman, John
Ziegler, Albert
Paperback
Architecture for Flow: Adaptive Systems with Domain-Driven Design, Wardley Mapping, and Team Topologies
Kaiser, Susanne
Paperback
This Is Service Design Doing: Applying Service Design Thinking in the Real World
Lawrence, Adam
Hormess, Markus Edgar
Stickdorn, Marc
Paperback
Learning Php, MySQL & JavaScript: A Step-By-Step Guide to Creating Dynamic Websites
Nixon, Robin
Paperback
Arduino Programming for Beginners: A Comprehensive Beginner's Guide to Learn the Realms of Arduino Programming from A-Z
Protosmith, Ada
Paperback
Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software
Robson, Elisabeth
Freeman, Eric
Paperback
The Official Raspberry Pi Handbook 2026: Astounding Projects with Raspberry Pi Computers
Makers of Raspberry Pi Official Magazine, The
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
Agile Project Management for Dummies
Ostermiller, Steven J.
Kynaston, Dean J.
Layton, Mark C.
Paperback
Get Started with Micropython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
Everard, Ben
Halfacree, Gareth
Paperback
Frictionless: 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era
Forsgren, Nicole
Noda, Abi
Paperback
Arduino Programming for Beginners: Simple and Effective Methods to Learn Arduino Programming Efficiently
Protosmith, Ada
Paperback
Concrete Mathematics: A Foundation for Computer Science
Knuth, Donald
Graham, Ronald
Patashnik, Oren
Hardcover
Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
Troelsen, Andrew
Japikse, Phil
Paperback
Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Pandey, Anand
Paperback
Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python
Kopec, David
Paperback
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
Khononov, Vlad
Paperback
The Official Raspberry Pi Handbook 2025: Projects, Tutorials, Interviews, and Reviews from the Magpi Magazine
Makers of the Magpi Magazine, The
Paperback
How to Measure Anything in Project Management
Hubbard, Douglas W.
Bang Leed, Andreas
Budzier, Alexander
Hardcover
High Performance Python: Practical Performant Programming for Humans
Gorelick, Micha
Ozsvald, Ian
Paperback
Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
Diamant, Anita
Cooper, Howard
Paperback
The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
Hohpe, Gregor
Paperback
Coding Roblox Games Made Easy - Second edition: Create, Publish, and Monetize your games on Roblox
Brumbaugh, Zander
Paperback
Site Reliability Engineering: How Google Runs Production Systems
Jones, Chris
Beyer, Betsy
Murphy, Niall Richard
Paperback
Cloud Application Architecture Patterns: Designing, Building, and Modernizing for the Cloud
Yoder, Joseph
Brown, Kyle
Woolf, Bobby
Paperback
Serious Cryptography, 2nd Edition: A Practical Introduction to Modern Encryption
Aumasson, Jean-Philippe
Paperback
Ruined by Design: How Designers Destroyed the World, and What We Can Do to Fix It
Monteiro, Mike
Paperback
Spies, Lies, and Algorithms: The History and Future of American Intelligence
Zegart, Amy B.
Paperback
Electronic Music and Sound Design - Theory and Practice with Max 8 - volume 3
Cipriani, Alessandro
Giri, Maurizio
Paperback
ARM Assembly Language Programming with Raspberry Pi using GCC
Naimi, Sarmad
Yaghini, Azalia
Mazidi, Muhammad Ali
Paperback
Modern Concurrency in Java: Virtual Threads, Structured Concurrency, and Beyond
Rahman, A. N. M. Bazlur
Paperback
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Konieczny, Bartosz
Paperback
Head First JavaScript Programming: A Learner's Guide to Modern JavaScript
Freeman, Eric
Robson, Elisabeth
Paperback