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    Data Analysis with LLMs, Video Edition

    Posted By: lucky_aut
    Data Analysis with LLMs, Video Edition

    Data Analysis with LLMs, Video Edition
    Released 4/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English | Duration: 6h 43m | Size: 1.29 GB

    Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, Open AI, Google, Hugging Face, and more!

    Data Analysis with LLMs teaches you to use the new generation of AI assistants and Large Language Models (LLMs) to aid and accelerate common data science tasks.

    Learn how to use LLMs to
    Analyze text, tables, images, and audio files
    Extract information from multi-modal data lakes
    Classify, cluster, transform, and query multimodal data
    Build natural language query interfaces over structured data sources
    Use LangChain to build complex data analysis pipelines
    Prompt engineering and model configuration

    All practical, Data Analysis with LLMs takes you from your first prompts through advanced techniques like creating LLM-based agents for data analysis and fine-tuning existing models. You’ll learn how to extract data, build natural language query interfaces, and much more.

    About the Technology
    Large Language Models (LLMs) can streamline and accelerate almost any data science task. Master the techniques in this book, and you’ll be able to analyze large amounts of text, tabular and graph data, images, videos, and more with clear natural language prompts and a few lines of Python code.

    About the Book
    Data Analysis with LLMs shows you exactly how to integrate generative AI into your day-to-day work as a data scientist. In it, Cornell professor Immanuel Trummer guides you through a series of engaging projects that introduce OpenAI’s Python library, tools like LangChain and LlamaIndex, and LLMs from Anthropic, Cohere, and Hugging Face. As you go, you’ll use AI to query structured and unstructured data, analyze sound and images, and optimize the cost and quality of your data analysis process.

    What's Inside
    Classify, cluster, transform, and query multimodal data
    Build natural language query interfaces over structured data sources
    Create LLM-based agents for autonomous data analysis
    Prompt engineering and model configuration

    About the Reader
    For data scientists and data analysts who know the basics of Python.

    About the Author
    Immanuel Trummer is an associate professor of computer science at Cornell University and a member of the Cornell Database Group.