Least squares support vector machines /
Predicting structured data /
Evaluating Learning Algorithms : a classification perspective /
Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /
Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition.
Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition. /
The unsupervised learning workshop get started with unsupervised learning and simplify unorganized data to make predictions /
Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning /
The Reinforcement Learning Workshop : Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems.
Nine algorithms that changed the future : the ingenious ideas that drive today's computers /
Linear Algebra Tools for Data Mining.
The creativity code : art and innovation in the age of AI /
Maquina de entrenamiento comprimido basada en Extreme Learning Machine MEC-ELM.
Metalearning
TinyML Cookbook : combine artificial intelligence and ultra-low-power embedded devices to make the world smarter /
TensorFlow 1.x deep learning cookbook : over 90 unique recipes to solve artificial-intelligence driven problems with Python /
Der Creativity-Code : Wie künstliche Intelligenz schreibt, malt und denkt.
MACHINE LEARNING USING TENSORFLOW COOKBOOK : over 60 recipes on machine learning using deep ... learning solutions from kaggle masters and google.
Boosting
Deep learning from the basics : Python and deep learning : theory and implementation /
Natural language processing and computational linguistics : a practical guide to text analysis with Python, Gensim, spaCy, and Keras /
Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /
Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /
Advances in large margin classifiers /
Machine learning and artificial intelligence : proceedings of MLIS 2020 /
Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /
Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
Machine learning with Go : implement regression, classification, clustering, time-series models, neural networks, and more using the Go programming language /
Python deep learning cookbook : over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python /
Dynamic fuzzy machine learning /
Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.
Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at scale /
Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules.
Data analysis with Python : a modern approach /
Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples.
Data Science for Business and Decision Making : an introductory Text for Students and Practitioners /
Machine learning in asset pricing /
Concentration of measure for the analysis of randomized algorithms /
Esquemas algoritmicos /
DESIGN AND ANALYSIS OF ALGORITHMS
Data structures and algorithms /
Concurrency : the works of Leslie Lamport /
Grammatical inference : learning automata and grammars /
Graph algorithms and applications I /
Permutation group algorithms /
Trading at the speed of light : how ultrafast algorithms are transforming financial markets /
Biomedical signal analysis : contemporary methods and applications /
Algorithmic game theory /
P, NP, and NP-completeness : the basics of computational complexity /
Algorithms : design techniques and analysis /
Rules : a short history of what we live by /