Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Description

Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Other editions

• 

  Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine...

  • 2020-01-31
  • 799 pages
  • Ebook
  • Packt Publishing Ltd

Similar books

• 

  Family History Digital Libraries

  By William Sims Bainbridge

  One named Sara and Timberlake had 11 male workers, 1 female worker, and 4 children workers, so it might have employed the Minor family.

• 

  Foundation Dreamweaver MX

  By Craig Grannell, Jerome Turner, Matt Stephens

  So here's what we need to do to arrive at our layout: s Create the main table to hold all the page elements. s Deal with the navigation area which is ...

• 

  Cisco CCNA Certification, 2 Volume Set: Exam 200-301

  By Todd Lammle

  This inclusive, two-book set provides what you need to know to succeed on the new CCNA exam. The set includes Understanding Cisco Networking Technologies: Volume 1 and the CCNA Certification Study Guide: Volume 2.

• 

  CompTIA Network+ Study Guide: Exam N10-006

  By Todd Lammle

  ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

• 

  CompTIA Network+ Study Guide with Online Labs: N10-007 Exam

  By Todd Lammle, Jon Buhagiar

  ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

• 

  CCNA: Cisco Certified Network Associate FastPass

  By Todd Lammle

  S The S reference point defines the point between the customer router and an ... with the letter E deal with using ISDN on the existing telephone network.

• 

  Stranger in the Chat Room

  By Todd Hafer, Jedd Hafer

  A sequel to In the Chat Room With God finds a group of teens contacted by a mysterious and increasingly malevolent character who claims to know about their encounters with the Almighty and challenges their beliefs. Original.

• 

  Error Correction Coding: Mathematical Methods and Algorithms

  By Todd K. Moon

  M M−1∑ k=0 −∞ ∞ k=0 The average energy per signal E s ∫ can be related to the ... we will deal primarily with additive white Gaussian noise (AWGN), ...

• 

  Security+ Training Guide

  By Todd King

  ... to deal with most , but unfortunately not all , of these potential threats . ... The S / MIME standard implements encryption for message content using ...

• 

  CCDA: Cisco Certified Design Associate Study Guide: Exam 640-861

  By Todd Lammle, Andy Barkl

  S reference point The S reference point defines the reference point between ... with the letter E deal with using ISDN on the existing telephone network.