en
Mathematics for Real Applications
Amaranaath Mehra
en
Machine Learning with R - Learn techniques for building and improving machine learning models from data preparation to model tuning evaluation and working with big data
Brett Lantz
en
Foundations of Probability Theory
Himadri Deshpande
en
Python Data Cleaning Cookbook - Prepare your data for analysis with pandas NumPy Matplotlib scikit-learn and OpenAI
Michael Walker
en
Algorithmic Probability - Fundamentals and Applications
Fouad Sabry
en
Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning
Parag Saxena
en
Treatise on Structural Probabilistic Analysis
Pasquale De Marco
en
Probability and Statistics Made Easy
Pasquale De Marco
en
The Data Revolution
Pasquale De Marco
en
Intriguing Mathematical and Logical Delights
Pasquale De Marco
en
The Rational Agent
Pasquale De Marco
en
The Glass-Cranked Beacons of Marrowcove: - A Lexicon of the Deep
Maurice Atkinson
en
Probability and Data - Unveiling Uncertainties in Science
Pasquale De Marco
en
Kickstart Artificial Intelligence Fundamentals - Master Machine Learning Neural Networks and Deep Learning from Basics to Build Modern AI Solutions with Python and TensorFlow-Keras
Dr. S.Mahesh Anand
es
El psicólogo que buscaba la serenidad
Ramón Bayés
es
La jungla de mi memoria
Ramón Bayés
es
La primera vez y otras catástrofes - Cuentos y narraciones imprevisibles
Ramón Bayés
