धन उगाहना 15 सितंबर, 2024 – 1 अक्टूबर, 2024 धन उगाहने के अभियान के बारे में

Basics For Linear Algebra For Machine Learning Discover The...

Main
Basics For Linear Algebra For Machine...

Basics For Linear Algebra For Machine Learning Discover The Mathematical Language Of Data In Python 2018

Jason Brownlee

0 / 4.0

यह पुस्तक आपको कितनी अच्छी लगी?

फ़ाइल की गुणवत्ता क्या है?

पुस्तक की गुणवत्ता का मूल्यांकन करने के लिए यह पुस्तक डाउनलोड करें

डाउनलोड की गई फ़ाइलों की गुणवत्ता क्या है?

साल:

2018

भाषा:

english

फ़ाइल:

FB2 , 1.00 MB

IPFS:

,

english, 2018

ऑनलाइन पढ़ें

में रूपांतरण जारी है

में रूपांतरण विफल रहा

आप के लिए दिलचस्प हो सकता है

Jason Brownlee — Basics For Linear Algebra For Machine Learning: Discover The Mathematical Language Of Data In Python

Unknown — (U.John Hopkins) Matrix Computations (3rd Ed.) [ripped by sabbanji]

it-ebooks — Fast.ai Computational Linear Algebra Textbook

it-ebooks — DataCamp SciPy Cheat Sheet

Amirsina Torfi — Practical Linear Algebra for Machine Learning

Jason Brownlee — Basics For Linear Algebra For Machine Learning, Discover The Mathematical Language Of Data In Python

Jason Brownlee — Basics For Linear Algebra For Machine Learning: Discover The Mathematical Language Of Data In Python

Unknown — Jason Brownlee Basics For Linear Algebra For Machine Learning Discover The Mathematical Language Of Data In Python 2018

Jason Brownlee — Basics For Linear Algebra For Machine Learning Discover The Mathematical Language Of Data In Python 2018

Jay Gopalakrishnan — Lectures on Mathematical Computing with Python

Valter Moretti — Multi-Linear Algebra, Tensors and Spinors in Mathematical Physics [Lecture notes]

Cohen, Mike X.; — Practical Linear Algebra for Data Science

Eldén L. — Matrix Methods in Data Mining and Pattern Recognition

Ivan Idris [Ivan Idris] — NumPy: Beginner’s Guide - Third Edition

Jason Brownlee — Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python

Jason Brownlee — Basics For Linear Algebra For Machine Learning

Feuhrer, Claus — Computing with Python: An Introduction to Python for Science and Engineering

Dashnow, Harriet;Nunez-Iglesias, Juan;Walt, Stéfan van der — Elegant sciPy: the art of Scientific Python

Lars EldÃ©n — Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)

STEVEN L. BRUNTON — Machine Learning, Dynamical Systems, and Control

Mike X Cohen — Practical Linear Algebra for Data Science (Fourth Early Release)

Mike X Cohen — Practical Linear Algebra for Data Science

Kyle Gallatin, Chris Albon — Machine Learning with Python Cookbook, 2nd Edition (First Early Release)

J. Nathan Kutz, Steven L. Brunton — Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Steven L. Brunton, J. Nathan Kutz — Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Eli Bressert — SciPy and NumPy

Eli Bressert — SciPy and NumPy: An Overview for Developers

Robert Johansson — Numerical Python: A Practical Techniques Approach for Industry

Juan Nunez-Iglesias; Stéfan van der Walt; Harriet Dashnow — Elegant Scipy: The Art of Scientific Python

Harriet Dashnow, Stéfan van der Walt, Juan Nunez-Iglesias — Elegant SciPy

Ivan Idris — NumPy Beginner's Guide

Ivan Idris — NumPy, 3rd Edition: Build efficient, high-speed programs using the high-performance NumPy mathematical library

John Smith — Scientific Computing with Python: Mastering Numpy and Scipy

Makoto Tsukada, Yugi Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi — Linear Algebra with Python: Theory and Applications

Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi — Linear Algebra with Python: Theory and Applications

सबसे उपयोगी शब्द