
Models Demystified by Michael Clark
Unlock the Power of Data Science and Machine Learning
In this comprehensive guide, we delve into the world of data science, machine
learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics,ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general.
-
Introduction to NFL Analytics with R
-
Probability and Statistics for Data Science
- Deep Learning and Statistics
- Introduction to Data Science
-
DevOps for Data Science
-
Data Science in Healthcare
-
What's the Question?
-
Test-Driven Data Analysis
-
Textual and Contextual Data Analysis
-
Advanced Basketball Data Science
-
Introduction to Classifier Performance Analysis with R
-
Research Software Engineering
-
Getting (more out of) Graphics
-
JavaScript for Data Science
-
Supervised Machine Learning for Text Analysis in R
-
Massive Graph Analytics
-
An Introduction to IoT Analytics
-
Deep-Learning-Assisted Statistical Methods with Examples in R
-
Natural Language Processing in the Real World
-
Predictive Modelling for Football Analytics
-
Cybersecurity Analytics
-
Big Data Analytics
-
Basketball Data Science
-
Why Data Science Projects Fail
-
Mathematical Engineering of Deep Learning
-
Data Science for Water Utilities
-
Real World AI Ethics for Data Scientists
-
Data Science and Analytics Strategy
-
Hands-On Data Science for Librarians
-
Data Science
-
Practitioner's Guide to Data Science
-
Practitioner’s Guide to Data Science
-
Spatial Statistics for Data Science
-
Data Science in Practice
-
The Data Preparation Journey
Michael Clark is a senior machine learning scientist for OneSix, and in prior stints, was a data science consultant at the University of Michigan and Notre Dame. His models have been used in production across a variety of industries, and can be seen in dozens of publications across several academic disciplines. He has a passion for helping people of all skill levels learn difficult stuff.
Seth Berry is the Academic Co-Director of the Master of Science in Business Analytics (MSBA) Residential Program, and Associate Teaching Professor at the University of Notre Dame for the IT, Analytics, and Operations Department. He has a PhD in Applied Experimental Psychology, and has been teaching and consulting in data science for over a decade.
| SKU | Unavailable |
| ISBN 13 | 9781032582580 |
| ISBN 10 | 1032582588 |
| Title | Models Demystified |
| Author | Michael Clark |
| Series | Chapman And Hall Crc Data Science Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2025-08-04 |
| Number of pages | 508 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
































