This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports …
This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports …
This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, …
This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports …
Learn how to identify the unusual, interesting, extreme, or inaccurate parts of your data. Data scientists have two main tasks: …
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key …
Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering …
The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers …
There is plenty for you to tackle in this field. This at least is one conclusion from the papers in …
Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty …
In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your …
This book shows Oracle Application Express (APEX) developers how to take advantage of Oracle Cloud Infrastructure (OCI) features for APEX …
Over the past few years, a growing community of engineers and researchers have quietly rewritten the rules for how computers …
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the …
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward …
Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards …
This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004, held …
Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different …
The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult …
Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality …
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. …
"This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. …
Ready to build applications using generative AI? This practical book outlines the process necessary to design and build production grade …
Ready to build production-grade applications with generative AI? This practical guide takes you through designing and deploying AI services using …
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 …
This book is a valuable resource for professionals, researchers, and students who want to expand their knowledge of advanced computer …
Gain hands-on experience in Python programming with industry-standard machine learning tools using pandas, scikit-learn, and XGBoost Key Features • Think …
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins …
Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)
Explore all the tools and templates needed for data scientists to drive success in their biotechnology careers with this comprehensive …
Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt …
Recent combinations of semantic technology and artificial intelligence (AI) present new techniques to build intelligent systems that identify more precise …
Do you find deep learning difficult?So you want to learn about deep learning and neural networks, but you don’t have …
