Видавець: K-i-s-publishing

Quantum Machine Learning and Optimisation in Finance. Drive financial innovation with quantum-powered algorithms and optimisation strategies - Second Edition

Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos...

Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage

Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos...

Quick Start Kubernetes. A Beginner's Guide to Container Orchestration in the Cloud - Third Edition

Nigel Poulton

Quick Start Kubernetes. Unlock the Full Potential of Kubernetes for Scalable Application Management - Second Edition

Nigel Poulton

R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis

Dan MacLean

R Bioinformatics Cookbook. Utilize R packages for bioinformatics, genomics, data science, and machine learning - Second Edition

Dan MacLean

R: Data Analysis and Visualization. Click here to enter text

Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi...

R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition

Kuntal Ganguly, Shanthi Viswanathan, Viswa Viswanathan

R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data

Gopi Subramanian

R Data Mining. Implement data mining techniques through practical use cases and real-world datasets

Andrea Cirillo

R Data Science Essentials. R Data Science Essentials

Raja B. Koushik, Sharan Kumar Ravindran

R Data Structures and Algorithms. Increase speed and performance of your applications with effi cient data structures and algorithms

PKS Prakash, Achyutuni Sri Krishna Rao

R Data Visualization Cookbook. Over 80 recipes to analyze data and create stunning visualizations with R

Atmajitsinh Gohil, Atmajitsingh Gohil

R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making

Vitor Bianchi Lanzetta

R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet

PKS Prakash, Achyutuni Sri Krishna Rao

R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition

Mark Hodnett, Joshua F. Wiley

R Deep Learning Projects. Master the techniques to design and develop neural network models in R

Yuxi (Hayden) Liu, Pablo Maldonado

R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques

Yu-Wei, Chiu (David Chiu)

R for Data Science. Learn and explore the fundamentals of data science with R

Dan Toomey

R Graph Essentials

David Lillis, David A Lillis

R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs

Jaynal Abedin, Jaynal Abedin, Hrishi Mittal

R High Performance Programming. Overcome performance difficulties in R with a range of exciting techniques and solutions

Aloysius Shao Qin Lim, Tjhi W Chandra,...

R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Dipanjan Sarkar, Raghav Bali

R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment

Michele Usuelli