Intermediate user level
Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore... Læs mere
Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and across a number of... Læs mere
Beginning-Intermediate user level
Deep reinforcement learning has attracted considerable attention recently. Biology has inspired the creation of artificial neural networks and deep learning, while psychology... Læs mere
It draws attention to the deficiencies of standard statistical tools when used in the high-dimensional setting, and... Læs mere
AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life... Læs mere
This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications
The adoption of data analytics has remained remarkably static - perhaps reaching no more than thirty percent of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of our everyday operations.