BookShared
  • MEMBER AREA    
  • Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

    (By Foster Provost)

    Book Cover Watermark PDF Icon Read Ebook
    ×
    Size 26 MB (26,085 KB)
    Format PDF
    Downloaded 654 times
    Last checked 13 Hour ago!
    Author Foster Provost
    “Book Descriptions: We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Worthy: Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. To get started finding Worthy: Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking, you are right to find our website which has a comprehensive collection of manuals listed.
    Our library is the biggest of these that have literally hundreds of thousands of different products represented.”

    Google Drive Logo DRIVE
    Book 1

    Storytelling with Data: A Data Visualization Guide for Business Professionals

    ★★★★★

    Cole Nussbaumer Knaflic

    Book 1

    Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

    ★★★★★

    Chip Huyen

    Book 1

    The Art of Statistics: How to Learn from Data

    ★★★★★

    David Spiegelhalter

    Book 1

    Take Command: Find Your Inner Strength, Build Enduring Relationships, and Live the Life You Want (Dale Carnegie Books)

    ★★★★★

    Joe Hart

    Book 1

    Naked Statistics: Stripping the Dread from the Data

    ★★★★★

    Charles Wheelan

    Book 1

    Building Microservices: Designing Fine-Grained Systems

    ★★★★★

    Sam Newman

    Book 1

    Designing Data-Intensive Applications

    ★★★★★

    Martin Kleppmann

    Book 1

    Lean Analytics: Use Data to Build a Better Startup Faster

    ★★★★★

    Alistair Croll

    Book 1

    Hands-On Machine Learning with Scikit-Learn and TensorFlow

    ★★★★★

    Aurélien Géron

    Book 1

    Time Series Forecasting in Python

    ★★★★★

    Marco Peixeiro

    Book 1

    Superforecasting: The Art and Science of Prediction

    ★★★★★

    Philip E. Tetlock

    Book 1

    Staff Engineer: Leadership Beyond the Management Track

    ★★★★★

    Will Larson

    Book 1

    The Signal and the Noise: Why So Many Predictions Fail—But Some Don't

    ★★★★★

    Nate Silver

    Book 1

    An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

    ★★★★★

    Gareth James

    Book 1

    Python for Data Analysis

    ★★★★★

    Wes McKinney