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
31810

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:

Mastering Classification Algorithms for Machine Learning: Learn how to apply Classification algorithms for effective Machine Learning solutions (English Edition)
Machine Learning With Python Programming 2023 A Beginners Guide The Definitive Guide to Mastering Machine Learning in Python and a Problem-Guide Solver to Creating Real-World Intelligent Systems
Machine Learning With Python Programming 2023 A Beginners Guide The Definitive Guide to Mastering Machine Learning in Python and a Problem-Guide Solver to Creating Real-World Intelligent Systems
Flutter in Action (Final Version)
Design Patterns in C# (Final Version)
GraphQL and Android (Final Version)
Functional Reverse Engineering of Machine Tools (Computers in Engineering Design and Manufacturing)
Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions
Deep Machine Learning Complete Tips and Tricks to Deep Machine Learning
Machine Learning in Trading: Step by step implementation of Machine Learning models
Linear Algebra And Optimization With Applications To Machine Learning - Volume II Fundamentals of Optimization Theory with Applications to Machine Learning
Practices of the Python Pro (Final Version)
The Best Python Programming Step-By-Step Beginners Guide: Easily Master Software engineering with Machine Learning, Data Structures, Syntax, Django Object-Oriented Programming, and AI application
Mastering ChatGPT and Google Colab for Machine Learning Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python
Practical Data Science with Jupyter Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter
EDGE Value-Driven Digital Transformation (Final version)
Android|s Architecture Components (Final Version)
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Hands-on Supervised Learning with Python Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms
Unit Testing Principles, Practices, and Patterns (Final Version)
Black Hat Go Go Programming For Hackers and Pentesters (Final Version)
Mastering Excel VBA and Machine Learning A Complete, Step-by-Step Guide To Learn and Master Excel VBA and Machine Learning From Scratch
Signal Processing and Machine Learning for Brain-Machine Interfaces
The Busy Coder|s Guide to Android Development (Final Version)
Zero to AI A non-technical, hype-free guide to prospering in the AI era (Final Version)
Data Analytics for IT Networks Developing Innovative Use Cases (Final version)
Seriously Good Software Code that works, survives, and wins (Final Version)
Machine Learning with Python Advanced Guide in Machine Learning with Python
Machine Learning with Python 3 in 1 Beginners Guide + Step by Step Methods + Advanced Methods and Strategies to Learn Machine Learning with Python
Graph-Powered Analytics and Machine Learning with TigerGraph Driving Business Outcomes with Connected data Driving Business Outcomes with Connected Data (Final)
Machine Learning with Neural Networks An In-depth Visual Introduction with Python Make Your Own Neural Network in Python A Simple Guide on Machine Learning with Neural Networks
Machine Learning with Python A Step-By-Step Guide to Learn and Master Python Machine Learning
Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning
Machine Learning Master Supervised and Unsupervised Learning Algorithms with Real Examples
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
Disease Prediction using Machine Learning, Deep Learning and Data Analytics