Genetic Algorithms and Machine Learning for Programmers
Frances Buontempo
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Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Magnus Ekman
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Essential Math for AI : Next-Level Mathematics for Efficient and Successful AI Systems
Hala Nelson
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Building Machine Learning Pipelines
Hannes Hapke
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Artificial Intelligence : A Guide to Intelligent Systems
Michael Negnevitsky
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Machine Learning Pocket Reference : Working with Structured Data in Python
Matt Harrison
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AI at the Edge : Solving Real-World Problems with Embedded Machine Learning
Daniel Situnayake
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Build A Career in Data Science
Emily Robinson
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Artificial Intelligence : A Guide to Intelligent Systems
Michael Negnevitsky
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Grokking Machine Learning
Luis Serrano
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Deep Learning for Search
Tommaso Teofili
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Deep Learning on Graphs
Yao (Michigan State University) Ma
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Transformers for Machine Learning : A Deep Dive
Uday Kamath
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HVAC Control Systems : Modelling, Analysis and Design
Chris P. Underwood
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Deep Learning in Computational Mechanics : An Introductory Course
Stefan Kollmannsberger
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Explainable AI for Practitioners : Designing and Implementing Explainable ML Solutions
Michael Munn
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Hands-On Unsupervised Learning Using Python : How to Build Applied Machine Learning Solutions from Unlabeled Data
Ankur A. Patel
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Machine Learning Pocket Reference : Working with Structured Data in Python
Matt Harrison
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Just Enough R! : An Interactive Approach to Machine Learning and Analytics
Richard J. Roiger
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