BOOKS - PROGRAMMING - Machine Learning Engineering in Action (MEAP Version 4)
Machine Learning Engineering in Action (MEAP Version 4) - Ben T.Wilson 2021 PDF Manning Publications BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
43818

Telegram
 
Machine Learning Engineering in Action (MEAP Version 4)
Author: Ben T.Wilson
Year: 2021
Pages: 273
Format: PDF
File size: 18.2 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Artificial Intelligence and Machine Learning Foundations Learning from experience, 2nd Edition
Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection
Machine Learning Master Supervised and Unsupervised Learning Algorithms with Real Examples
Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
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 and Deep Learning Techniques in Wireless and Mobile Networking Systems
Unsupervised Learning with Generative AI (MEAP v7)
Unsupervised Learning with Generative AI (MEAP v7)
Federated Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Learning TensorFlow.js Powerful Machine Learning in javascript
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
Building Intelligent Systems Using Machine Learning and Deep Learning Security, Applications and Its Challenges
Risk Modeling Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Building Intelligent Systems Using Machine Learning and Deep Learning Security, Applications and Its Challenges
Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)
Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Machine Learning with Python A Comprehensive Guide To Algorithms, Deep Learning Techniques, And Practical Applications
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
Machine Learning and Deep Learning in Natural Language Processing
Machine Learning and Deep Learning in Real-Time Applications
Machine Learning - A Journey To Deep Learning With Exercises And Answers
Distributional Reinforcement Learning (Adaptive Computation and Machine Learning)
Statistical Reinforcement Learning Modern Machine Learning Approaches
Machine Learning and Deep Learning in Natural Language Processing
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Generative AI with Python Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems
Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Python Machine Learning for Beginners Learning from Scratch Numpy, Pandas, Matplotlib, Seaborn, SKlearn and TensorFlow 2.0
Deep Learning with PyTorch, Second Edition (MEAP v5)
Deep Learning with PyTorch, Second Edition (MEAP v3)
Deep Learning with PyTorch, Second Edition (MEAP v5)
Math and Architectures of Deep Learning (MEAP)
Automated Software Engineering: A Deep Learning-Based Approach (Learning and Analytics in Intelligent Systems Book 8)
Machine Learning. Supervised Learning Techniques and Tools Nonlinear Models Exercises with R, SAS, STATA, EVIEWS and SPSS
Data Scientist Pocket Guide Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled