Title: Cloud Computing for Machine Learning and Cognitive Applications, Author: Kai Hwang
Title: Technological Prospects and Social Applications of Society 5.0, Author: Lavanya Sharma
Title: Investing for Programmers, Author: Stefan Papp
Title: Azure AI Toolbox: Tools, Techniques, and Technologies for AI Innovation, Author: Sai Mani Krishna Sistla
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: SMART Integrated Circuit Design and Methodology, Author: Thomas Noulis
Title: Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More, Author: Olivier Caelen
Title: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python, Author: Mike X Cohen
Title: Outlier Detection in Python, Author: Brett Kennedy
Title: Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science, Author: Inam Ullah
Title: Introduction to Machine Learning and Bioinformatics, Author: Sushmita Mitra
Title: TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models, Author: KC Tung
Title: Machine Learning Fundamentals: Concepts, Models, and Applications, Author: Amar Sahay
Title: Future Tech Startups and Innovation in the Age of AI, Author: Inam Ullah Khan
Title: Learn Generative AI with PyTorch, Author: Mark Liu
Title: Large Language Models, Author: A. Scholtens
Title: Ultimate Generative AI Solutions on Google Cloud, Author: Arun Pandey
Title: Machine Learning and Deep Learning With Python, Author: James Chen
Title: Practical Weak Supervision: Doing More with Less Data, Author: Wee Hyong Tok
Title: Effective Machine Learning Teams: Best Practices for ML Practitioners, Author: David Tan

Pagination Links