Thinking Data Science: A Data Science Practitio by Poornachandra Sarang HARDBACK

Springer International Publishing AG

Gain a comprehensive understanding of data science with "Thinking Data Science: A Data Science Practitioner's Guide" by Poornachandra Sarang. This definitive guide addresses common challenges faced by data scientists, from selecting the right technology for ML development (GOFAI, ANN/DNN, Transfer Learning, AutoML) to handling massive datasets and high-frequency dynamic data. It provides a consolidated view of the entire data science process, serving as a "Cheat Sheet" for practitioners. The book conceptually describes various ML algorithms and defines a process for selecting ML/DL models, offering a systematic approach to problem-solving. It's an essential resource for practising data scientists, academicians, researchers, and students looking to build efficient ML models for both small and big data. Key Features: - Consolidation of the entire data science process - Guidance on selecting appropriate ML/DL algorithms and architectures - Addresses challenges with large and dynamic datasets - Suitable for practitioners, researchers, and students Product Summary: Thinking Data Science, Hardcover, English, 358 pages, ISBN: 9783031023620, Author: Poornachandra Sarang. This book is a practitioner's guide to data science and machine learning projects.