Big data (Великі дані)

Learning Microsoft Cognitive Services. Click here to enter text

Leif Larsen

Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition

Leif Larsen

Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition

Jerome Baton

Learning NumPy Array. Supercharge your scientific Python computations by understanding how to use the NumPy library effectively

Ivan Idris

Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition

María Carina Roldán

Learning PostgreSQL 10. A beginner’s guide to building high-performance PostgreSQL database solutions - Second Edition

Salahaldin Juba, Andrey Volkov, Salahaldin Juba

Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more

Dr. Param Jeet, PRASHANT VATS

Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing

Riaz Ahmed

Learning SciPy for Numerical and Scientific Computing. Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

Erik Christensen, Francisco Javier Blanco-Silva, Sergio J Rojas G, Sergio J Rojas G (USD)

Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights

Dipanjan Sarkar, Raghav Bali, Tushar Sharma

Learning Spark SQL. Architect streaming analytics and machine learning solutions

Aurobindo Sarkar

Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition

Giuseppe Bonaccorso

Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market

Eduonix Learning Solutions

Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques

Kumar Abhishek, Dr. Mounir Abdelaziz

Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning

Revathi Gopalakrishnan, Avinash Venkateswarlu

Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language

Daniel Whitenack