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COM COMPUTERS Data Science Machine Learning — COM094000

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225 items
Artificial Intelligence and Machine Learning (Innovations in Health Informatics and Healthcare)
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Machine Learning for Physics and Astronomy
AI-Powered Scholar
Computational Intelligence for Sustainable Transportation and Mobility (Computational Intelligence For Data Analysis)
Machine Learning in Translation
Lost in the Stream: How Algorithms Redefined the Way Movies are Made and Watched
Introduction to Online Convex Optimization. 2nd edition
Graph Learning Techniques
Distributional Reinforcement Learning
Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R
Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment
Algebraic Geometry For Robotics And Control Theory
Bitcoin: A Game-Theoretic Analysis (de Gruyter Textbook)
Code to Joy: Why Everyone Should Learn a Little Programming
An Introduction to Lifted Probabilistic Inference
Introduction to Deep Learning for Engineers: Using Python and Google Cloud Platform (Synthesis Lectures on Mechanical Engineering)
Cognitive Robotics
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R
Real-World Natural Language Processing: Practical applications with deep learning
Math for Deep Learning: What You Need to Know to Understand Neural Networks
Machine Learning Engineering
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies)
Algorithms for the People: Democracy in the Age of AI
Deep Learning In Biology And Medicine
Can We Trust AI? (Johns Hopkins Wavelengths)
A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills
Fairness and Machine Learning: Limitations and Opportunities
The Manga Guide to Linear Algebra
Machine Learning: A Probabilistic Perspective
On Intelligence
Advances in Deep Learning Applications for Smart Cities (Advances in Electronic Government, Digital Divide, and Regional Development)
Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)
Introduction To Machine Learning In Quantitative Finance, An (Advanced Textbooks In Mathematics)
Patterns, Predictions, and Actions: Foundations of Machine Learning
Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
A Thousand Brains: A New Theory of Intelligence
The Heart and the Chip: Our Bright Future with Robots
The Mind's Mirror: Risk and Reward in the Age of AI
The Hundred-Page Language Models Book: hands-on with PyTorch (The Hundred-Page Books)
Learning to Flourish in the Age of AI
Building Quantum Software
AI Machine Learning: A QuickStudy Laminated Reference Guide
AI and Emerging Technologies
Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition
These Strange New Minds: How AI Learned to Talk and What It Means
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