Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities.
Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.
Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality.
Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly.
- Grasp how day-to-day activities are powered by machine learning
- Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis
- Learn to code in R using R Studio
- Find out how to code in Python using Anaconda
Ratings
Goodreads Rating - 3.59 out of 5 ( 32 Ratings; 0 Reviews - As on September 30 2017)
My Rating: 2 out of 5
My Comments:
At the best this is a OK sort of reference book for people who already have a fair exposure to Machine Learning.
Definitely not for dummies as the title of the book proclaims.
The authors may be experts in this field but certainly don't know the ABCs of how to teach absolute beginners.
The content is badly organized and jargons are thrown around with gay abandon all over the place thus overwhelming the newbies.
Most of the readers who start reading this book to learn Machine Learning may give up soon and switch over to better books available in the market.
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