MOMENTAN AUSVERKAUFT
Über dieses Produkt
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-10149190142X
ISBN-139781491901427
eBay Product ID (ePID)28038373281
Product Key Features
Number of Pages330 Pages
LanguageEnglish
Publication NameData Science from Scratch : First Principles with Python
Publication Year2015
SubjectData Modeling & Design, Data Processing, Databases / Data Mining, Databases / General, Programming Languages / Python
TypeTextbook
Subject AreaComputers
AuthorJoel Grus
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Weight21.2 Oz
Item Length9.1 in
Item Width7.2 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2015-472852
Dewey Edition23
IllustratedYes
Dewey Decimal006.312
SynopsisData science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch . If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
LC Classification NumberQA76.9.D343
Bewertungen und Rezensionen
Relevanteste Rezensionen
- 01. Aug. 2018
Best place to begin Data Science.
This introduction to Data Science is comprehensive, delving into the numerous aspects in bite size pieces. The content is presented in a way that is easy to absorb, offering diagrams and examples. The reader is taken from zero to a complete understanding in logical steps. I wish that I could have taken a course in Data Science using this as the text book. It is exactly what I needed to wrap my mind around this fascinating topic.Bestätigter Kauf: JaArtikelzustand: Neu
- 10. Mai. 2021
Great book for beginners
Loving this book so far, it's very practical and written in a casual and approachable language.Bestätigter Kauf: JaArtikelzustand: Gebraucht
