The Data Science Handbook

The Data Science Handbook

Carl Shan, Henry Wang, William Chen, Max Song

5.0 / 0

Jak bardzo podobała Ci się ta książka?

Jaka jest jakość pobranego pliku?

Pobierz książkę, aby ocenić jej jakość

Jaka jest jakość pobranych plików?

Kategorie:

Mathematics - Mathematical Statistics

Rok:

2015

Wydawnictwo:

leanpub.com

Język:

english

ISBN 10:

0692367993

ISBN 13:

9780692367995

Plik:

EPUB, 378 KB

IPFS:

,

english, 2015

Ściągnij (epub, 378 KB)

Trwa konwersja do

Konwersja do nie powiodła się

Możesz być zainteresowany

Shlomo Kashani — Deep Learning Interviews

Campbell, Alex [Campbell, Alex] — Data Visualization Guide: Clear Guide to Data Science and Visualization

Leon Wei — Cracking the SQL Interview for Data Scientists: Nervous about your SQL Interview? Anxiety ends here. Learn, refresh and master SQL Skills in a Week.

Wendi Yanofsky — Data Science: The Complete Guide to Data Science for Beginners: Data Science Books You Should Read

DJ Patil [Patil, DJ] — Data Jujitsu: The Art of Turning Data Into Product

Adriy Burkov — The Hundred-Page Machine Learning Book

Campbell, Alex [Campbell, Alex] — Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science

Alex J. Gutman & Jordan Goldmeier — Becoming a Data Head

Roger D. Peng — R Programming for Data Science

Jeff Leek — The Elements of Data Analytic Style - A guide for people who want to analyze data

Roger D. Peng & Elizabeth Matsui — The Art of Data Science: A Guide for Anyone Who Works with Data

Carl Shan, Max Song, Henry Wang, And William Chen — 120 real data science interview questions

Brian Caffo — Statistical Inference for Data Science - A Companion to the Coursera Statistical Inference Course

Roger D. Peng — Report Writing for Data Science in R

Field Cady — The Data Science Handbook

Roger D. Peng, Elizabeth Matsui — The Art of Data Science: A Guide for Anyone Who Works with Data

Michael Freeman, Joel Ross — Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition

Brian Godsey [Brian Godsey] — Think Like a Data Scientist: Tackle the data science process step-by-step

James D. Miller — Statistics for Data Science

Vamsee Puligadda — 500 Data Science Interview Questions and Answers

Hanson, Bill — Machine Learning- The Mastery Bible: The definitive guide to Machine Learning, Data Science, Artificial Intelligence, Neural Networks, and Data Analytics.

Academy, Computer Programming — Python Data Science: Learn Python in a Week and Master It. An Hands-On Introduction to Big Data Analysis and Mining, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 3)

Andrew Park — Data Science for Beginners: 4 Books in 1: Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Business

Scott Stawski, Mike Nefkens — Inflection Point: How the Convergence of Cloud, Mobility, Apps, and Data Will Shape the Future of Business

Ron Kohavi; Diane Tang; Ya Xu — Trustworthy Online Controlled Experiments

Charles Wheelan — Naked Statistics: Stripping the Dread from the Data

Jackie Willis — Data Analysis and Presentation Skills. An Introduction for the Life and Medical Sciences

Glenn J. Myatt, Wayne P. Johnson — Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations

Viktor Mayer-Schonberger, Kenneth Cukier — Big Data: A Revolution That Will Transform How We Live, Work, and Think

Oliver Theobald — Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy

Valliappa Lakshmanan — Machine Learning Design Patterns

Eric Siegel, Thomas H. Davenport (Foreword) — Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

Field Cady — The Data Science Handbook

Field Cady — The Data Science Handbook

Field Cady — The Data Science Handbook

Walter W. Piegorsch, Richard F. Levine, Hao Helen Zhang, Thomas C. M. Lee — Handbook of Computational Statistics and Data Science

Alex J. Gutman, Jordan Goldmeier — Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning

Graham J. Williams — The Essentials of Data Science: Knowledge Discovery Using R

Roger D. Peng, Elizabeth Matsui — The Art of Data Science

Brian Caffo, Roger D. Peng, Jeffrey T. Leek — Executive Data Science: A Guide To Training And Managing The Best Data Scientists

Allen Downey — Think Stats. Probability and statistics for programmers

Patil, D. J. — Data jujitsu : the art of turning data into product

Najbardziej popularne frazy

Powiązane listy książek