Hacker’s Guide to Machine Learning with Python

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Hacker’s Guide to Machine Learning with...

Hacker’s Guide to Machine Learning with Python

Venelin Valkov

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როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

კატეგორია:

Computers - Security

წელი:

2019

გამომცემლობა:

leanpub.com

ენა:

english

ფაილი:

EPUB, 16.50 MB

IPFS:

,

english, 2019

ონლაინ წაკითხვა

ჩატვირთვა (epub, 16.50 MB)

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

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Adel F — Architecture of complex web applications

Vsevolod Domkin — Programming Algorithms

Rafael Gomes — Docker for Developers

Venelin Valkov — Get Sh*t Done With Pytorch: Solve Real-World Machine Learning Problems

Vashistha, Amit; Vashistha, Vineeta — The Art of Performance Engineering: Learn Performance Optimization techniques to ensure high performance of your application

Martin Hock — Clean Code Fundamentals

Enrique Pablo Molinari — Coding an Architecture Style

Carlos Buenosvinos — Domain-Driven Design in PHP

choudhary, vanshika — Machine Learning Concepts from A to Z: A Comprehensive Guide with Code: Machine Learning Mastery: From A to Z with Code - Practical Examples, Algorithms, and Applications

Venelin Valkov — Hacker's Guide to Machine Learning with Python

Alexander Cane, — MACHINE LEARNING WITH PYTHON: Step by Step methods to master Machine Learning with Python

The DDD Community — Domain-Driven Design: The First 15 Years

Moore, Richard; Moore, Richard — Python Machine Learning: The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science

Venelin Valkov — Get Sh*t Done With Pytorch: Solve Real-World Machine Learning Problems

Manohar Swamynathan — Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

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

Eli Stevens; Luca Antiga; Thomas Viehmann — Deep Learning with PyTorch

Shiwang Kalkhanda — Learning AWK Programming

Rajdeep — Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data

Derrick Mwiti [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Mwiti, Derrick — Intermediate Tutorials for Machine Learning

Mwiti, Derrick [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Derrick Mwiti [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

it-ebooks — DataCamp Keras Cheat Sheet

it-ebooks — Deep Learning with Keras and Tensorflow

it-ebooks — Python数据科学速查表 - Keras

Derrick Mwiti [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Mwiti, Derrick — Intermediate Tutorials for Machine Learning

Mwiti, Derrick [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Derrick Mwiti [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Derrick Mwiti [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Mwiti, Derrick — Intermediate Tutorials for Machine Learning

Mwiti, Derrick [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Derrick Mwiti [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Mwiti, Derrick [Mwiti, Derrick] — Intermediate Tutorials for Machine Learning

Jason Brownlee — Deep Learning with Python (Theano, TensorFlow, Keras): Develop Deep Learning Models on Theano and TensorFlow Using Keras

Derrick mwiti — Deep learning with TensorFlow and Keras

魏贞原 — 深度学习：基于Keras的Python实践

Venelin Valkov — Hacker’s Guide to Machine Learning with Python

Matthew Lamons — Python Deep Learning Projects

Tony Holdroyd — TensorFlow 2.0 Quick Start Guide

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