AI Trang 1
Trí tuệ nhân tạo và khoa học dữ liệu
Lê Trọng Nhân
Kiến thức cơ bản về trí tuệ nhân tạo
Nguyễn Hữu Hưng
Trí Tuệ Nhân Tạo - Lập Trình Tiến Hoá
Nguyễn Đình Thúc
Giáo trình hệ chuyên gia
Phan Huy Khánh
Giáo trình một số ứng dụng mạng Nơron xây dựng mô hình nhận dạng và dự báo
Đinh Văn Nhượng
Introduction to Machine Learning with Python - A Guide for Data Scientists
Andreas C. Müller
Giáo Trình Thị Giác Máy Tính Và Ứng Dụng
Lê Mỹ Hà
Deep Learning Cơ Bản
Nguyễn Thanh Tuấn
The Complete Book of Intelligence Tests
Philip Carter
Python Artificial Intelligence Projects for Beginners
Joshua Eckroth
Python Data Science: The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and Business
Steve Blair
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
Ryan T. White
Introduction to Data Science. A Python Approach to Concepts, Techniques and Applications
Laura Igual
Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python
Rudolph Russell
Data Science from Scratch: First Principles with Python
Joel Grus
Khát Khao Học Máy
Nhiều tác giả
Introduction To Pattern Recognition And Machine Learning
M Narasimha Murty – Der V Susheela Devi
Machine Learning And Systems Engineering
Sio-Iong Ao – Burghard Rieger – Mahyar A. Amouzegar
Growing Adaptive Machines – Combining Development And Learning In Artificial Neural Networks
Taras Kowaliw – Nicolas Bredeche – René Doursat
Ensembles in Machine Learning Applications
Oleg Okun – Giorgio Valentini – Matteo Re (Eds.)
From Curve Fitting To Machine Learning – An Illustrative Guide To Scientific Data Analysis And Computational Intelligence
Achim Zielesny
Combinatorial Machine Learning – A Rough Set Approach
Mikhail Moshkov – Beata Zielosko
Kernel-based Data Fusion For Machine Learning Methods And Applications In Bioinformatics And Text Mining
Shi Yu – Léon-Charles Tranchevent
Machine Learning Paradigms Applications in Recommender Systems
Aristomenis S. Lampropoulos – George A. Tsihrintzis
Identifying Product And Process State Drivers In Manufacturing Systems Using Supervised Machine Learning
Thorsten Wuest
Statistical Learning And Data Sciences
Alexander Gammerman – Vladimir Vovk – Harris Papadopoulos
Semi-Supervised And Unsupervised Machine Learning
Amparo Albalate – Wolfgang Minker
Scala For Machine Learning
Patrick R. Nicolas
Machine Learning With Spark
Nick Pentreath
Learning scikit-learn: Machine Learning in Python
Raúl Garreta – Guillermo Moncecchi
Statistical Learning With Sparsity The Lasso And Generalizations
Trevor Hastie – Robert Tibshirani – Martin Wainwright
MACHINE LEARNING An Algorithmic Perspective Second Edition
Stephen Marsland
Machine Learning Of Robot Assembly Plans
Alberto Maria Segre
Thoughtful Machine Learning
Matthew Kirk