Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

English | September 18th, 2018 | ISBN: 1789347998 | 522 Pages | EPUB | 78.95 MB


 

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, youll 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.

 

 

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

RAR Expander 0.8.5 Beta 4  and extract password protected files without error.


 TO WIN USERS: If RAR password doesn't work, use this archive program: 

Latest Winrar  and extract password protected files without error.


 Solid   |  

Information
Members of Guests cannot leave comments.


SermonBox - Seasonal Collection

SermonBox - The Series Pack Collection

Top Rated News

  • Christmas Material
  • Laser Cut & Print Design Elements Bundle - ETSY
  • Daz3D - All Materials - SKU 37000-37999
  • Cgaxis - All Product - 2019 - All Retail! - UPDATED!!!
  • DigitalXModels Full Collections
  • Rampant Design Tools Full Collections Total: $4400
  • FilmLooks.Com Full Collection
  • All PixelSquid Product
  • The Pixel Lab Collection
  • Envato Elements Full Sources- 3200+ Files
  • Ui8.NET Full Sources
  • The History of The 20th Century
  • The Dover Collections
  • Snake Interiors Collections
  • Inspirational Collections
  • Veer Fancy Collections
  • All Ojo Images
  • All ZZVE Collections
  • All Sozaijiten Collections
  • All Image Broker Collections
  • Shuterstock Bundle Collections
  • Tattoo Collections
  • Blend Images Collections
  • Authors Tuorism Collections
  • Motion Mile - Big Bundle
  • PhotoBacks - All Product - 2018
  • Dekes Techniques - Photoshop & Illustrator Course - 1 to 673
Telegram GFXTRA Group
Udemy - Turkce Gorsel Ogrenme Setleri - Part 2
Videohive Wow Pack Series


rss