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Category: "Machine Learning"

Machine Learning

  1. Introduction to Algorithms & Data Structures 3
    Introduction to Algorithms & Data Structures 3
    Learn Linear Data Structures with Videos & Interview Questions
    Bolakale Aremu

    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...

  2. Crafting Applications with ChatGPT API

    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.

  3. Reinforcement Learning Explained - A Step-by-Step Guide to Reward-Driven AI

    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.

  4. Data Mesh Architecture
    Data Mesh Architecture
    From the Engineering Perspective
    Dr. Simon Harrer, Larysa Visengeriyeva, and Jochen Christ

    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.

  5. Supervised Machine Learning for Science
    Supervised Machine Learning for Science
    How to stop worrying and love your black box
    Christoph Molnar and Timo Freiesleben

    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.

  6. The Sophia Dialogues
    The Sophia Dialogues
    Spiritual Artificial Intelligence
    Hanjo and Ananda Purebuddha

    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?

  7. The Cognitive Biases Compendium
    The Cognitive Biases Compendium
    Explore over 150 Cognitive Biases across 500 pages to make better decisions, think critically, solve problems effectively, and communicate more accurately. + Bonus Chapter: Algorithmic Bias
    Murat Durmus

    "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

  8. LLM Prompt Engineering For Developers
    LLM Prompt Engineering For Developers
    The Art and Science of Unlocking LLMs' True Potential
    Aymen El Amri

    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.

  9. DataQuest
    DataQuest
    The Path to Machine Learning Mastery
    P.A. Daham Thameeara

    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.

  10. Google JAX Essentials
    Google JAX Essentials
    Quick practical learning of blazing-fast library for machine learning and deep learning projects
    GitforGits | Asian Publishing House

    This book takes the reader from understanding the challenges of deep learning and numerical computations in the existing frameworks to the essentials of Google JAX, its functionalities, and how to leverage it in real-world machine learning and deep learning projects.

  11. Mastering AI-Driven Development:  A Comprehensive Guide for Small Development Teams

    In today's fast-paced software development landscape, small development teams face numerous challenges. One of the most promising solutions to these challenges is the integration of AI-driven development tools, which can transform the way developers write, review, and collaborate on code.

  12. Machine Learning Competitions : A Practical Guide to Kaggle Success
    No Description Available
  13. My Machine Learning Journey

    My Machine Learning Journey

  14. Junior to Senior machine learning engineer
    No Description Available
  15. AI Ethics, Advancements, and Limitations: An Interview with ChatGPT

    Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In other words, AI involves creating algorithms and computer programs that can perform tasks that usually require human intelligence, such as perception, decision-making, natural language understanding...