Thinking Data Science

Name: Thinking Data Science
Brand: Springer, Berlin
SKU: 9783032258694
Price: 358.49 PLN
Availability: PreOrder

A Data Science Practitioner's Guide.DE

Autor: Poornachandra Sarang

Język:

Oprawa: Twarda

Wydawca: Springer, Berlin

Dostępność: Oczekiwana premiera

Wydanie 23. 08. 2026

358.49 zł

This definitive guide to machine learning projects answers the questions aspiring and experienced da...

Informacje o książce

Autor

Poornachandra Sarang

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2026

strony

493

EAN

9783032258694

Enbook ID

51569028

Wydawca

Springer, Berlin

Wymiary

155 x 235

Pełny opis

This definitive guide to machine learning projects answers the questions aspiring and experienced data scientists frequently face. Are you unsure which technology to use for your ML development? Should you choose GOFAI, ANN/DNN, or transfer learning? Can you rely on AutoML for model development? What if a client provides gigabytes or terabytes of data for building analytic models? How do you handle high-frequency, dynamic datasets? This book provides practitioners with a consolidated view of the entire data science process in a single cheat sheet.

The core challenge for a data scientist is to extract meaningful information from huge datasets to create better strategies for businesses. Many machine learning algorithms and neural networks are designed to perform analytics on such datasets. For a data scientist, choosing the most suitable algorithm for a given dataset can be a daunting decision. Although there is no single answer, a systematic approach to problem solving is essential. This book describes a range of ML algorithms conceptually and discusses a structured process for selecting ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key focus of this book. Thinking Data Science will help practising data scientists, academics, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data is small or big.

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również

Najczęściej wyszukiwane

Categories

Authors

Publishers

Produkty

Produkty

Najczęściej wyszukiwane

Categories

Authors

Publishers

Produkty

Produkty

Thinking Data Science

A Data Science Practitioner's Guide.DE

Informacje o książce

Pełny opis

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również