Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
💎 Earn 235 Points (£2.35) on this item.
YOU SAVE £7.88
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £2.39. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
The textbook provides students with tools to analyze complex data using methods from data science, machine learning, and artificial intelligence, with presentations and implementations in R. It covers computer science, mathematics, statistics, and domain knowledge and teaches computational thinking in a natural way.
Format: Hardback
Length: 575 pages
Publication date: 27 June 2023
Publisher: Springer International Publishing AG
The textbook serves as an invaluable resource for students seeking to delve into the realm of complex data analysis, employing a multitude of methods derived from data science, machine learning, and artificial intelligence. Authored by esteemed experts, the book offers a comprehensive presentation of these methodologies, accompanied by practical applications utilizing the widely recognized programming language R. Recognized as the gold standard in data analysis, R provides a seamless platform for exploring and extracting valuable insights from data. Spanning three fundamental components of data science, namely computer science, mathematics, and statistics, the book equips students with a comprehensive understanding of the field. By presenting methods and implementations in R alongside each other, the book enables immediate practical application of the acquired learning concepts. Moreover, it fosters computational thinking in a natural and intuitive manner. The textbook is enriched with a plethora of exercises, case studies, Q&A sections, and illustrative examples, further enhancing the learning experience and reinforcing the theoretical concepts. Whether students are aspiring data scientists, researchers, or professionals seeking to enhance their data analysis skills, this textbook serves as a indispensable guide, providing them with the tools and knowledge necessary to navigate the intricate world of complex data analysis.
Weight: 1222g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031133381
Edition number: 1st ed. 2023
This item can be found in:
UK and International shipping information
UK and International shipping information
UK Delivery and returns information:
- Delivery within 2 - 3 days when ordering in the UK.
- Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
- Returns policy: Return within 30 days of receipt for full refund.
International deliveries:
Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.
- Delivery times: within 5 - 10 days for international orders.
- Shipping fee: charges vary for overseas orders. Only tracked services are available for most international orders. Some countries have untracked shipping options.
- Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
