Title: Python Data Science: Learn Python in a Week and Master It. An Hands-On Introduction to Big Data Analysis and Mining, a Project-Based Guide with Practical Exercises, Author: Computer Programming Academy
Title: Python and Math Essentials for Machine Learning: A Beginner's Guide, Author: Anthony Mauro
Title: Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications, Author: John Berryman
Title: Progress in Pattern Recognition, Image Analysis and Applications: 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Havana, Cuba, September 9-12, 2008, Proceedings, Author: JosƩ Ruiz-Shulcloper
Title: Programming Machine Learning: From Coding to Deep Learning, Author: Paolo Perrotta
Title: Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics, Author: Anirban DasGupta
Title: Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python, Author: Deepak K. Kanungo
Title: Probabilistic Inductive Logic Programming, Author: Luc De Raedt
Title: Privacy-Preserving Machine Learning, Author: J. Morris Chang
Title: PRICAI '96: Topics in Artificial Intelligence: 4th Pacific Rim International Conference on Artificial Intelligence, Cairns, Australia, August 26 - 30, 1996, Proceedings, Author: Norman Foo
Title: Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning, Author: Robert Stevens
Title: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition, Author: Valentine Fontama
Title: Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines, Author: Yada Pruksachatkun
Title: Practical Weak Supervision: Doing More with Less Data, Author: Wee Hyong Tok
Title: Practical Simulations for Machine Learning: Using Synthetic Data for AI, Author: Paris Buttfield-Addison
Title: Practical MLOps: Operationalizing Machine Learning Models, Author: Noah Gift
Title: Practical Machine Learning: A Beginner's Guide with Ethical Insights, Author: Ally S. Nyamawe
Title: Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python, Author: Mike X Cohen
Title: Practical Guide to Machine Learning, NLP, and Generative AI: Libraries, Algorithms, and Applications, Author: T. Mariprasath
Title: Practical Deep Learning, 2nd Edition: A Python-Based Introduction, Author: Ronald T. Kneusel

Pagination Links