Geo.Engineerings

Kameron Hussain; Frahaan Hussain ... 220 pages - Publisher: Independently Published; (January, 2024) - Language: English.

Dive into the world of MATLAB with "Mastering MATLAB: A Comprehensive Journey Through Coding and Analysis," a definitive guide designed for both beginners and experienced users. This book serves as an invaluable resource for engineers, scientists, and anyone interested in harnessing the power of MATLAB for numerical computation, data analysis, and algorithm development. Starting with the basics, the book introduces you to the MATLAB environment, guiding you through its user-friendly interface and powerful tools. You'll learn to write clean, efficient MATLAB code, with a focus on understanding syntax, functions, and the extensive libraries available. Each chapter builds upon the last, ensuring a gradual and solid grasp of concepts.

"Mastering MATLAB" is more than just a programming guide; it's a practical handbook for real-world applications. Delve into chapters dedicated to data visualization, matrix manipulations, and statistical analysis, all crucial for data-driven projects. You'll encounter detailed examples and exercises that demonstrate how MATLAB can solve complex problems in engineering, science, and mathematics. For advanced readers, the book delves into sophisticated topics such as GUI development, machine learning applications, and integrating MATLAB with other programming languages. This section is particularly beneficial for professionals seeking to elevate their coding prowess and integrate MATLAB into their workflow for more efficient problem-solving and research.

Every concept is explained in-depth, accompanied by illustrative examples, making complex ideas accessible. Whether you're a student needing a comprehensive academic resource, a professional aiming to enhance your technical skillset, or a hobbyist eager to explore computational mathematics, "Mastering MATLAB" is your go-to guide. Embrace the journey of mastering MATLAB and unlock a world of possibilities in coding and analysis.

Patanjali Kashyap ... 674 pages - Language: ‎English - Publisher: ‎Apress; 2nd edition (December, 2023).

This new and updated edition takes you through the details of machine learning to give you an understanding of cognitive computing, IoT, big data, AI, quantum computing, and more. The book explains how machine learning techniques are used to solve fundamental and complex societal and industry problems.This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in machine learning. A new chapter on quantum computers and machine learning is included to prepare you for future challenges. Insights for decision makers will help you understand machine learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of machine learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to machine learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, quantum machine learning, and reinforcement learning from human feedback (RLHF) technology. Upon completing this book, you will understand machine learning, IoT, and cognitive computing and be prepared to cope with future challenges related to machine learning.

What You Will Learn? Master the essentials of machine learning, AI, cloud, and the cognitive computing technology stack + Understand business and enterprise decision-making using machine learning + Become familiar with machine learning best practices + Gain knowledge of quantum computing and quantum machine learning.