Data Science from Scratch: First Principles with Python

Main
Computers - Programming
Data Science from Scratch: First...

Data Science from Scratch: First Principles with Python

Joel Grus

4.0 / 1.0

كم أعجبك هذا الكتاب؟

ما هي جودة الملف الذي تم تنزيله؟

قم بتنزيل الكتاب لتقييم الجودة

ما هي جودة الملفات التي تم تنزيلها؟

الفئات:

Computers - Programming

عام:

2019

الناشر:

O'Reilly Media

اللغة:

english

ISBN 10:

1492041130

ISBN 13:

9781492041139

ملف:

PDF, 4.19 MB

IPFS:

,

english, 2019

إقرأ علي الإنترنت

جاري التحويل إلى

التحويل إلى باء بالفشل

قد تكون في قائمة إهتماماتك

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

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

Vamsee Puligadda — 500 Data Science Interview Questions and Answers

Paul Deitel — Intro to Python forComputer Science and Data Science : Learning to Program with AI, Big Data and the Cloud

Jason Brownlee — Data Preparation for Machine Learning: Data Cleaning, Feature Selection, and Data Transforms in Python

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

Oliver Theobald — Machine Learning For Absolute Beginners: A Plain English Introduction

Ian Goodfellow, Yoshua Bengio, Aaron Courville — Deep Learning.

John V. Guttag — Introduction to Computation and Programming Using Python: With Application to Understanding Data

John D. Kelleher, Brendan Tierney — Data Science

Norman S. Matloff — Probability and Statistics for Data Science: Math + R + Data

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

Ivan Savov — No Bullshit Guide to Math and Physics

Ivan Savov — No bullshit guide to linear algebra

Thomas Nield — Essential Math for Data Science

Hadrien Jean — Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics

Valliappa Lakshmanan, Sara Robinson, Michael Munn — Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Jake VanderPlas — Python Data Science Handbook, 2nd Edition (Second Early Release)

Chirag Shah — A Hands-On Introduction to Data Science

Field Cady — The Data Science Handbook

John Paul Mueller, Luca Massaron — Python for Data Science, 2nd Edition

Mark Lutz — Learning Python, 5th Edition

Cathy O'Neil, Rachel Schutt — Doing Data Science

Andreas C. Müller, Sarah Guido — Introduction to Machine Learning with Python: A Guide for Data Scientists

Allen B. Downey — Think Bayes: Bayesian Statistics in Python

Joel Grus — Data Science from Scratch: First Principles with Python

Allen B. Downey — Think Stats: Exploratory Data Analysis (Second Edition)

Jake VanderPlas — Python Data Science Handbook

Luciano Ramalho — Fluent Python: Clear, Concise, and Effective Programming

Peter Bruce, Andrew Bruce — Practical Statistics for Data Scientists: 50 Essential Concepts (Early Release)

Wes McKinney — Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Aurélien Géron — Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurelien Geron — Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Ankur A. Patel — Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

Grus, Joel — Data Science from Scratch

Seth Weidman — Deep Learning from Scratch

Ian Pointer — Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

Sylvain Gugger, Jeremy Howard — Deep Learning for Coders with Fastai and PyTorch

Matt Harrison — Machine Learning Pocket Reference

Bill Lubanovic — Introducing Python: Modern Computing in Simple Packages

Bruce, Peter, Bruce, Andrew, Gedeck, Peter — Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Hariom Tatsat, Sahil Puri, Brad Lookabaugh — Machine Learning and Data Science Blueprints for Finance

أكثر المصطلحات والعبارات المستخدمة

قوائم الكتب ذات الصلة