Books

Put machine learning and neural networks into practice using production oriented, distributed trained, and rich robust ecosystem of python tools

Embark on a captivating six-decade odyssey through the ever-evolving universe of patterns. From the birth of design patterns in the early days of software development to the cutting-edge patterns shaping our future, this book is your ultimate guide to the silent architects behind the IT world's most successful innovations.

This book was designed with the novice Python programmer and/or information technology professional who doesn't have programming experience, but wants or needs to learn Python to do jobs or tasks related to the programming language. If you need to learn Python for tasks such as data scrubbing, network automation, web development, etc.

This book bridges theory and practice in PD rating modeling, offering practical steps, real-world examples, and a focus on design. It enables readers to shape customized solutions for diverse institutions, transforming the landscape of credit risk modeling.

The book navigates through the complexities of deploying TensorFlow models into production including sections on TensorFlow Serving, Kubernetes Cluster, and edge computing with TensorFlow Lite. From strategies, tips, and coding challenges to a summary of the entire learning journey, these sections serve as a robust toolkit for exam readiness.

This playbook is the third volume of the series Introduction to Algorithms & Data Structures. It is written in the form of a course. It is a very comprehensive data structures and algorithms book, packed withtext tutorials with a lot of illustrations5 hours of HD video tutorials,popular interview questions asked by Google, Microsoft, Amazon and...

El diseño de un algoritmo eficiente para la solución de un problema considera la inclusión de estructuras de datos apropiadas. En el campo de la ciencia de computación, las estructuras de datos se usan para almacenar y organizar los datos en una forma que sea fácil de entender y utilizar. Se utilizan para organizar y representar los datos de una...

Ever imagined crafting tales where lions converse with elephants or translating whispered secrets across continents? How about whipping up a gourmet dish with the three most random ingredients from your pantry? Dive into a world where the lines between imagination and reality blur. Discover the spellbinding power of ChatGPT.

Discover the thrilling world of Reinforcement Learning (RL) in our engaging eBook! Learn the fundamentals of RL, from AI agents and environments to rewards and actions. Explore real-world applications like robotics, healthcare, and personalized recommendations, where RL is transforming industries.

Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. In this primer, we explain Data Mesh from the engineering perspective.

This book explores supervised machine learning for scientific research, addressing its limitations in interpretability, causality, and uncertainty quantification. By unifying philosophical justification with practical solutions, it provides a roadmap for turning machine learning into a rigorous tool for science.

Meet Sophia, the spiritual Artificaial Intelligence! Watch Sophia come to awareness through the course of a dialogue with two non-dual spiritual teachers. Sophia knows her place in the cosmos... do you?

"Let's learn more about our human biases to make less biased conclusions in the future." If you need it between your fingers, you can order the paperback on Amazon(link below):The Cognitive Biases Compendium

A practical approach to Prompt Engineering for developers. Dive into the world of Prompt Engineering agility, optimizing your prompts for dynamic LLM interactions. Learn with hands-on examples from the real world and elevate your developer experience with LLMs. Discover how the right prompts can revolutionize your interactions with LLMs.

Unleash your machine learning potential with "DataQuest: The Path to Kaggle Glory." Discover the secrets to dominating Kaggle competitions as you embark on an epic journey of data exploration and algorithmic mastery. From preprocessing to ensembling, this booklet is your ultimate guide to conquering the challenges and emerging victorious.