Pub Date: April 13, 2023
Lexile Code: 0000
Features: Glossary, Illustrated
Target Age Group: NA to NA
Physical Info: 0.69" H x 9.21" L x 6.14" W ( 1.25 lbs) 260 pages
BISAC Categories:
Computers | Computer Science | Data Science | Machine Learning | Software Development and Engineering | General | Computer Engineering | Technology and Engineering | Materials Science | Neural Networks | Artificial Intelligence | Natural Language Processing
Series: What Every Engineer Should Know
Description:
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.