CRC Press Data Science for Engineers

Data Science in Engineering and Management: Applications, New Developments, and Future Trends

CRC Press

CRC Press - Numerical Methods for Engineering and Data Science

CRC Press

CRC Press - What Every Engineer Should Know About Data-Driven Analytics

CRC Press

CRC Press Data Science: Techniques and Intelligent Applications

CRC Press

Data Science and Data Analytics: Opportunities and Challenges

CRC Press

ICT and Data Sciences (Green Engineering and Technology)

CRC Press

Secure Data Science: Integrating Cyber Security and Data Science

CRC Press

Data Science and Machine Learning Applications in Subsurface Engineering

CRC Press

Engineering Data Analysis with MATLAB®

CRC Press

Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practices

CRC Press

Research and Technical Writing for Science and Engineering

CRC Press

Data Science with Semantic Technologies: Deployment and Exploration

CRC Press

What Every Engineer Should Know About Artificial Intelligence and Big Data

CRC Press

Ethics for Bioengineering Scientists: Treating Data as Clients

CRC Press

Introduction to Engineering and Scientific Computing with Python

CRC Press

Applied Engineering Statistics

CRC Press

Spreadsheet Problem Solving and Programming for Engineers and Scientists

CRC Press

Advances in Science, Engineering and Technology

CRC Press

CRC Press Engineering Science and Technology Innovations Book

CRC Press

Probability Foundations for Engineers

CRC Press

CRC Press - Data-Driven Applications for Emerging Technologies

CRC Press

Probability, Statistics, and Reliability for Engineers and Scientists

Applied Research in Engineering Sciences

CRC Press

Practitioner’s Guide to Data Science (Chapman & Hall/CRC Data Science Series)

CRC Press