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Machine Learning
Books
493 resultsBecoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Alex J. Gutman,Jordan Goldmeier
Commercial Data Mining. Processing, Analysis and Modeling for Predictive Analytics Projects
David Nettleton (Auth.)
Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes
Roger Barga,Valentine Fontama,Wee Hyong Tok (auth.)
Predictive Analytics with Microsoft Azure Machine Learning
Roger Barga,Valentine Fontama,Wee Hyong Tok
Data Mining and Predictive Analytics
Daniel T. Larose,Chantal D. Larose
Signal processing and machine learning for biomedical big data
Falk, Tiago H.;Sejdic, Ervin
Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
Valliappa Lakshmanan
Machine Learning for Business Analytics: Real-Time Data Analysis for Decision-Making
Hemachandran K.,Sayantan Khanra,Raul V. Rodriguez,Juan Jaramillo
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
Shilpa Choudhary
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch
Manu Joseph,Jeffrey Tackes
Machine learning with Go: implement regression, classification, clustering, time-series models, neural networks, and more using the Go programming language
Whitenack,Daniel
Computational Learning Theory: 15th Annual Conference on Computational Learning Theory, COLT 2002 Sydney, Australia, July 8–10, 2002 Proceedings
Shahar Mendelson,Robert C. Williamson (auth.),Jyrki Kivinen,Robert H. Sloan (eds.)
Deep Learning with R, Second Edition
Francois Chollet;Tomasz Kalinowski;J. J. Allaire
Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition
Brett Lantz
Keras to Kubernetes: The Journey of a Machine Learning Model to Production
Dattaraj Rao
Mastering Go: Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures
Mihalis Tsoukalos
Mathematics and Programming for Machine Learning with R: From the Ground Up
William B. Claster
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
Ryan T. White,Archana Tikayat Ray
Specialty Crops for Climate Change Adaptation: Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence (STEAM-H: ... Agriculture, Mathematics & Health)
Chandrasekar Vuppalapati
The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning
William Ammerman
Spark: The Definitive Guide: Big Data Processing Made Simple
Bill (B.) Chambers,Matei (M.) Zaharia
Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems
Aurélien Géron
Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning (Wiley and SAS Business Series)
Terisa Roberts,Stephen J. Tonna
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing
Omran M. G. H.
Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
Leonidas Deligiannidis (ed.),Hamd Arabnia (ed.)
Hands-On Artificial Intelligence for Banking: A practical guide to building intelligent financial applications using machine learning techniques
Jeffrey Ng CFA,Subhash Shah
Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data
Victor Lee,Phuc Kien Nguyen,Alexander Thomas
Machine Learning: End-to-End guide for Java developers: Data Analysis, Machine Learning, and Neural Networks simplified
Richard M. Reese &Jennifer L. Reese &Bostjan Kaluza &Dr. Uday Kamath &Krishna Choppella
Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists
Julien Simon
Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers
Charlie Gerard
Learning Apache Mahout: Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout
Chandramani Tiwary
Mastering Apache Spark 2.x Scale your machine learning and deep learning systems with SparkML, DeepLearning4j and H2O
Romeo Kienzler