BOOKS - PROGRAMMING - Designing Machine Learning Systems (Early Release)
Designing Machine Learning Systems (Early Release) - Chip Huyen 2021-10-13 Second Release EPUB O’Reilly Media, Inc. BOOKS PROGRAMMING
ECO~12 kg CO²

1 TON

Views
86099

Telegram
 
Designing Machine Learning Systems (Early Release)
Author: Chip Huyen
Year: 2021-10-13 Second Release
Pages: 143
Format: EPUB
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning
From Machine Learning To Deep Learning
ActivityPub (4th Early Release)
Excel Cookbook (Early Release)
Cloud Without Compromise (Early Release)
Think Python, 3rd Ed (Third Early Release)
Head First Git (Early Release)
Python for Excel (Early Release)
The SEO Battlefield (Early Release)
Innovative Tableau (Early Release)
Security as Code (Early Release)
Practical Fairness (Early Release)
Programming with Rust (Early Release)
Networking and Kubernetes (Early Release)
Java to Kotlin (Early Release)
Java to Kotlin (Early Release)
Excel Cookbook (Early Release)
Operating OpenShift (Early Release)
Programming with Rust (Early Release)
Mastering Corda (Early Release)
Robust Python (Early Release)
Head First Swift (Early Release)
The LLM Mesh (Early Release)
Programming Rust (<u>Early Release</u>)
Production Ergonomics Designing Work Systems to Support Optimal Human Performance
Designing Gamified Systems Meaningful Play in Interactive Entertainment, Marketing and Education
Designing School Systems for All Students: A Toolbox to Fix America|s Schools
Deep Learning and AI Superhero Mastering TensorFlow, Keras, and PyTorch Advanced Machine Learning and AI, Neural Networks, and Real-World Projects (Mastering the AI Revolution)
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Python Programming The Crash Course for Python – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Learn Autonomous Programming with Python Utilize Python|s capabilities in Artificial Intelligence, Machine Learning, Deep Learning and robotic process automation
Machine Learning and Deep Learning in Computational Toxicology (Computational Methods in Engineering and the Sciences)
Grokking Algorithms Simple and Effective Methods to Grokking Deep Learning and Machine Learning
Python Programming The Crash Course for Python Projects – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners
Designing and Using Performance Tasks: Enhancing Student Learning and Assessment
Tableau Desktop Cookbook (Early Release)
Mastering Apache Pulsar (Third Early Release)
WebAssembly The Definitive Guide (Early Release)
Mastering API Architecture (Early Release)
Modern Mainframe Development (Early Release)