Books

This handbook offers a comprehensive yet accessible overview of Python 3.x, making it an indispensable resource for beginners and seasoned developers. It covers fundamental concepts, core language features, and practical examples, serving as a trusted reference for everyday coding and problem-solving. With clear explanations, concise code snippets, and expert tips, this guide provides a solid foundation in Python, emphasising best practices and common pitfalls. Whether new to Python or seeking to refresh your expertise, this handbook equips you with the essential tools to apply Python in real-world projects effectively.

Machine Learning to Generative AI: A Unified Approach offers a comprehensive guide that takes readers from the basics of machine learning to advanced generative AI techniques, making it ideal for learners at all levels. The book covers foundational machine learning concepts, key algorithms, and deep learning models like CNNs, RNNs, and GANs, along with training and optimisation techniques. It explores generative AI, focusing on models such as GANs, VAEs, and transformers, with applications like text-to-image generation. Performance evaluation metrics, including accuracy, precision, and domain-specific measures for generative models, are also discussed. Through real-world case studies, the book highlights AI's impact on industries like healthcare, finance, and autonomous systems, whilst appendices provide mathematical foundations, Python tools, datasets, and project ideas to solidify learning.

The Data Science & Engineering Interview Companion is a comprehensive guide designed to help individuals prepare for data science and engineering interviews. It covers essential topics such as statistics, machine learning, algorithms, and data structures, while providing real-world interview questions and solutions. The book offers practical tips on problem-solving, coding challenges, and effective communication, along with guidance on behavioral interviews. It is a valuable resource for anyone aiming to excel in technical interviews and secure a job in data science or engineering.