Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks, Author: Keith L. Downing
Title: Enhancing Deep Learning with Bayesian Inference: Create more powerful, robust deep learning systems with Bayesian deep learning in Python, Author: Matt Benatan
Title: Neural Networks for Knowledge Representation and Inference, Author: Daniel S. Levine
Title: Learning PyTorch 2.0, Author: Matthew Rosch
Title: Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases, Author: Denis Rothman
Title: Deep Learning with R, Author: François Chollet
Title: TensorFlow Developer Certification Guide: Crack Google's official exam on getting skilled with managing production-grade ML models, Author: Patrick J
Title: Go Machine Learning Projects: Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go, Author: Xuanyi Chew
Title: PyTorch Cookbook: 100+ Solutions across RNNs, CNNs, python tools, distributed training and graph networks, Author: Matthew Rosch
Title: AI for Finance, Author: Edward P. K. Tsang
Explore Series
Title: DATA ANALYSIS FOR NETWORK CYBER-SECURITY, Author: Niall M Adams
Title: Bayesian Optimization in Action, Author: Quan Nguyen
Explore Series
Title: Natural Language Processing in Action: Understanding, analyzing, and generating text with Python, Author: Hannes Hapke
Title: Applied Deep Learning on Graphs: Leverage graph data for business applications using specialized deep learning architectures, Author: Lakshya Khandelwal
Title: Pricing Options with Futures-Style Margining: A Genetic Adaptive Neural Network Approach, Author: Alan White
Title: Angular and Machine Learning Pocket Primer, Author: Oswald Campesato
Title: Machine Learning for Business: Using Amazon SageMaker and Jupyter, Author: Doug Hudgeon
Title: Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs, Author: Md. Rezaul Karim
Title: Google JAX Cookbook: Perform machine learning and numerical computing with combined capabilities of TensorFlow and NumPy, Author: Zephyr Quent

Pagination Links