BOOKS - PROGRAMMING - Machine Learning Engineering (Final Version)
Machine Learning Engineering (Final Version) - Andriy Burkov 2020 PDF True Positive Inc. BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
59147

Telegram
 
Machine Learning Engineering (Final Version)
Author: Andriy Burkov
Year: 2020
Pages: 308
Format: PDF
File size: 38 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning For Dummies, IBM Limited Edition
Societal Impacts of Artificial Intelligence and Machine Learning
Python Machine Learning Practical Guide for Beginners
Machine Learning Applications in Non-Conventional Machining Processes
Introduction to Machine Learning with R Rigorous Mathematical Analysis
Introducing MLOps How to Scale Machine Learning in the Enterprise
Mastering Computer Vision with PyTorch and Machine Learning
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Ethics, Machine Learning, and Python in Geospatial Analysis
Machine Learning with Python Cookbook, 2nd Edition
Natural Language Processing (A Machine Learning Perspective)
Artificial Intelligence and Machine Learning for Smart Community
Practical Simulations for Machine Learning (Early Release)
Machine Learning Hands-On for Developers and Technical Professionals
How Machines Learn An Illustrated Guide to Machine Learning
Fundamental Mathematical Concepts for Machine Learning in Science
Hamiltonian Monte Carlo Methods in Machine Learning
Mathematics for Machine Learning A Deep Dive into Algorithms
Demystifying Big Data and Machine Learning for Healthcare
Essentials of Python for Artificial Intelligence and Machine Learning
Machine Learning in Pure Mathematics and Theoretical Physics
Machine Learning Hybridization and Optimization for Intelligent Applications
Big Data and Machine Learning in Quantitative Investment
Machine Learning Approaches in Cyber Security Analytics
Societal Impacts of Artificial Intelligence and Machine Learning
Scaling Up Machine Learning Parallel and Distributed Approaches
Robust Machine Learning Distributed Methods for Safe AI
Machine Learning for Healthcare Systems Foundations and Applications
Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Machine Learning Architecture in the age of Artificial Intelligence
Machine Learning Applications From Computer Vision to Robotics
AI and Machine Learning On-Device Development (Early Release)
Machine Learning Pocket Reference (Early Release)
Machine Learning in Medical Imaging and Computer Vision
Graph-Powered Analytics and Machine Learning with TigerGraph
Game Theory and Machine Learning for Cyber Security
AI and Machine Learning On-Device Development (Second Early Release)
ReRAM-based Machine Learning (Computing and Networks)
Machine Learning for Radio Resource Management and Optimization in 5G and Beyond
Introduction to Machine Learning with Python (Early Release)