Foundations of Data and Artificial Intelligence provides a practical, accessible introduction to data, analytics, and AI for college‑level courses and workforce training. Designed for full‑semester use, the text blends conceptual foundations with hands‑on learning through applied labs, real datasets, and guided exercises.Students learn how data is created, cleaned, stored, analyzed, and used to train AI systems. The book introduces machine learning, supervised and unsupervised mode...

Machine Learning and Language AI introduces students to the core concepts and practical workflows behind modern machine learning and natural language processing. Learners explore supervised and unsupervised models, model evaluation, optimization, recommendation systems, text preprocessing, embeddings, sentiment analysis, topic modeling, and applied NLP pipelines.Designed for college courses and workforce programs, the text emphasizes clarity, real‑world application, and hands‑on le...

Coding for Data Analytics and AI introduces students to the practical coding skills required for modern data work. Learners develop foundational R and Python skills, including data structures, functions, libraries, debugging, and reproducible workflows. The text emphasizes automation, reliability, and AI‑assisted coding techniques that support efficient, repeatable analysis.Designed for college courses and workforce programs, the book blends conceptual explanations with ha...

Making Decisions with Business Analytics provides a clear, practical foundation in how organizations use data to understand performance, diagnose problems, forecast outcomes, and recommend data‑driven actions. Students learn descriptive, diagnostic, predictive, and prescriptive analytics, along with forecasting, basic modeling, dashboards, and effective communication of results.Designed for full‑semester academic use, the text blends conceptual explanations with hands‑on l...

Preparing Data for Analytics and AI teaches students how to clean, structure, and prepare real‑world data using SQL, R, and Python. Learners develop practical skills in data profiling, handling messy values, joins and merges, filtering, derived fields, reshaping tables, and maintaining data quality at scale. The text emphasizes reproducible, automated, and AI‑assisted workflows that transform raw data into reliable, analysis‑ready datasets.Designed for college courses and ...

Discovering Patterns in Data provides a practical, accessible introduction to data mining for college‑level courses and workforce programs. Students learn how to explore, clean, and prepare data; identify patterns and relationships; and apply core data mining methods including clustering, classification, and association analysis. The text also introduces AI‑enhanced techniques for working with text, images, and complex data.Designed for full‑semester academic use, the book blends c...

AI Rookies Labs: Beginning NLP with Orange is a hands-on, visual lab workbook that introduces students to natural language processing (NLP) using the no-code Orange data mining platform. Designed for high school, college, and independent learners, this book teaches core concepts such as text preprocessing, sentiment analysis, topic modeling, and text classification-without requiring any programming experience. Each lab guides readers through step-by-step workflows using drag-and-drop widge...

Get your statistics basics right before diving into the world of data science Key FeaturesNo need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs;Implement statistics in data science tasks such as data cleaning, mining, and analysisLearn all about probability, statistics, numerical computations, and more with the help of R programsBook DescriptionData sc...

In today's data-driven world, information is a powerful asset. But how do you ensure this information is reliable, secure, and usable? The CompTIA Data+ certification equips you with the foundational knowledge and skills to navigate the exciting realm of data storage, management, and analysis.This comprehensive guidebook serves as your roadmap to CompTIA Data+ mastery. Whether you're a budding IT professional, a curious learner, or someone seeking to enhance your data fluency, this...

200+ pages of valuable content!Machines can LEARN?!?!Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures.Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning.Note: Bonus chapters included inside!Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead? Its a wor...

Integrate large language models into your enterprise applications with advanced strategies that drive transformationKey FeaturesExplore design patterns for applying LLMs to solve real-world enterprise problemsLearn strategies for scaling and deploying LLMs in complex environmentsGet more relevant results and improve performance by fine-tuning and optimizing LLMsPurchase of the print or Kindle book includes a free PDF eBook

Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions.Key Features● Hands-on AI guide with Python, TensorFlow, and Keras implementations.● Step-by-step walkthroughs of Machine Learning, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) models.● Bridges AI theory with real-world applications and coding ex...