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Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. 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 Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!
EdituraJohn Wiley & Sons Inc
Dimensiuni235 x 189 x 22
Data Publicarii19/07/2016
FormatNecartonata
Numar pagini432
Aceasta este o carte in limba engleza. Descrierea cartii (tradusa din engleza cu Google Translate) este in limba romana din motive legale.
Ghidul tau fara sens pentru a intelege invatarea automata Invatarea automata poate fi un concept uluitor pentru mase, dar cei care se afla in transeele programarii computerizate stiu cat de nepretuit este. Fara invatare automata, detectarea fraudei, rezultatele cautarii web, anunturile in timp real pe paginile web, scorul creditului, automatizarea si filtrarea e-mailului spam nu ar fi posibile, iar acest lucru prezinta doar cateva dintre capacitatile sale.