The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data …
This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in …
Data Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the …
At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be …
This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, …
Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data …
Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems …
Master functions and discover how to write functional programs in R. In this book, updated for R 4, you'll learn …
This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to …
Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements …
Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a …
Big data and data science are transforming our world today in ways we could not have imagined at the beginning …
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have …
Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Introductory Statistics Using …
Data science and analytics have emerged as the most desired fields in driving business decisions. Using the techniques and methods …
Gain hands-on experience in Python programming with industry-standard machine learning tools using pandas, scikit-learn, and XGBoost Key Features • Think …
Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)
An easy-to-follow and comprehensive guide to creating data apps with Streamlit, including how-to guides for working with cloud data warehouses …
Do you find deep learning difficult?So you want to learn about deep learning and neural networks, but you don’t have …
Has the abstract nature of linear algebra ever left you overwhelmed? Do you yearn to unlock the essence of machine …
For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data scienceThe Deitels’Introduction to Python …
A groundbreaking, flexible approach to computer science anddata science The Deitels' Introduction to Python for ComputerScience and Data Science: Learning …