Matematisk databehandlingsteori
Filter
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques …
Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in …
Dive in with this hands-on introduction to quantum computing with the Microsoft Quantum Development Kit and Q# for software developers. You may have heard about quantum computing, …
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the …
The world of web design is at a turning point, with great emphasis on Web Standards, designing for all browsers and platforms while still looking great and communicating your …
Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming …
Employ essential tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This revised edition …
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques …
This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This …
Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports …