Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications
出版: (2024)

Online Machine Learning A Practical Guide with Examples in Python /
出版: (2024)

Machine Learning for Real World Applications
出版: (2024)

Python for Data Science
由: Muddana, A. Lakshmi, et al.
出版: (2024)

Reinforcement Learning Theory and Python Implementation /
由: Xiao, Zhiqing
出版: (2024)

Deep Learning Foundations and Concepts /
由: Bishop, Christopher M., et al.
出版: (2024)

Python Data Science
由: Borjigin, Chaolemen
出版: (2023)

A Mathematical Introduction to Data Science
由: Sun, Yi, et al.
出版: (2025)

Data Science Concepts and Techniques with Applications
由: Qamar, Usman, et al.
出版: (2023)

Machine Learning with Python Theory and Implementation /
由: Zollanvari, Amin
出版: (2023)

Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications /
由: Igual, Laura
出版: (2017)

Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
由: Igual, Laura
出版: (2017)

Machine Learning in Single-Cell RNA-seq Data Analysis
由: Raza, Khalid
出版: (2024)

Frontiers of Statistics and Data Science
出版: (2025)

Representation in Machine Learning
由: Murty, M. N., et al.
出版: (2023)

Causal Inference 6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5–6, 2024, Revised Selected Papers /
出版: (2025)

AGC 2023 First Analytics Global Conference, AGC 2023, Kolkata, India, April 28–29, 2023, Proceedings /
出版: (2024)

Neuro Symbolic Reasoning and Learning
由: Shakarian, Paulo, et al.
出版: (2023)

Hybrid Models for Coupling Deductive and Inductive Reasoning Third International Workshop, HYDRA 2024, Santiago de Compostela, Spain, October 20, 2024, Revised Selected Papers /
出版: (2025)

Estimating Ore Grade Using Evolutionary Machine Learning Models
由: Ehteram, Mohammad, et al.
出版: (2023)

Machine Learning and Mechanics Based Soft Computing Applications
出版: (2023)

Machine Learning and Deep Learning in Computational Toxicology
出版: (2023)

Artificial Intelligence: A Guide for Everyone
由: Khan, Arshad
出版: (2024)

Machine Learning Safety
由: Huang, Xiaowei, et al.
出版: (2023)

Machine Learning for Data Science Handbook Data Mining and Knowledge Discovery Handbook /
出版: (2023)

WAIC and WBIC with R Stan 100 Exercises for Building Logic /
由: Suzuki, Joe
出版: (2023)

Applications of Game Theory in Deep Learning
由: Hazra, Tanmoy, et al.
出版: (2024)

Optimization and Data Science in Industrial Engineering First International Conference, ODSIE 2023, Istanbul, Turkey, November 16–17, 2023, Proceedings, Part II /
出版: (2025)

Practical Machine Learning Illustrated with KNIME
由: Geng, Yu, et al.
出版: (2024)

From Unimodal to Multimodal Machine Learning An Overview /
由: Škrlj, Blaž
出版: (2024)

Advanced Computing and Communications: Responsible AI 29th International Conference, ADCOM 2024, Bangalore, India, December 18–20, 2024, Proceedings /
出版: (2025)

Biomedical Image Analysis Special Applications in MRIs and CT scans /
由: Singh, Pritpal
出版: (2024)

Data Analytics A Theoretical and Practical View from the EDISON Project /
由: Cuadrado-Gallego, Juan J., et al.
出版: (2023)

Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
由: Saxena, Dhish Kumar, et al.
出版: (2024)

Emerging AI Applications in Earth Sciences Challenges, Impact and Analysis /
出版: (2025)

Sports Analytics Data-Driven Sports and Decision Intelligence /
出版: (2024)