Több mint 4 millió cím angol és más nyelveken! Fedezd fel új történetedet még ma!

Data Science Handbook

Name: Data Science Handbook
Brand: Hanser Publications
SKU: 9781569908860
Price: 23673 HUF
Availability: InStock

Generate Value from Data with Data Analysis and Machine Learning

Szerző: Zoltan Toth, Barbora Vesela, Rania Wazir, Günther Zauner, Wolfgang Weidinger, Katherine Munro, Bernhard Ortner, Annalisa Cadonna, Georg Langs, Roxane Licandro, Mario Meir-Huber, Danko Nikolic

Nyelv:

Kötés: Puha kötésű

Kiadó: Hanser Publications

Elérhetőség: Beszállítói készleten

Küldés 14-20 napon belül

23 673 Ft

Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about conc...

Információk a könyvről

Szerző

Zoltan Toth, Barbora Vesela, Rania Wazir, Günther Zauner, Wolfgang Weidinger, Katherine Munro, Bernhard Ortner, Annalisa Cadonna, Georg Langs, Roxane Licandro, Mario Meir-Huber, Danko Nikolic

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2022

oldal

573

EAN

9781569908860

ISBN

1569908869

Enbook ID

38389614

Kiadó

Hanser Publications

Súly

1084

Méretek

246 x 172 x 36

Teljes leírás

Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring: - A comprehensive overview of the various fields of application of data science- Case studies from practice to make the described concepts tangible- Practical examples to help you carry out simple data analysis projectsThe book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. Contains these current issues:- Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms.- Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice- Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies- Computer vision: How can we gain insights from images and videos with data science?- Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios.- ML and AI in production: How to turn experimentation into a working data science product?- Presenting your results: Essential presentation techniques for data scientists