AI-Assisted Data Science you own this product

Large Language Models for multimodal data analysis
Immanuel Trummer
  • MEAP began August 2023
  • Publication in Spring 2024 (estimated)
  • ISBN 9781633437647
  • 200 pages (estimated)

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Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more!

Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In AI-Assisted Data Science, you’ll learn important techniques for streamlining your data science practice, expanding your skillset and saving you hours—or even days—of time.

Inside, you’ll learn how to use AI assistants 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

This practical book takes you from your first prompts through advanced techniques like building automated analysis pipelines and fine-tuning existing models. You’ll learn how to create meaningful reports, generate informative graphs, and much more.

about the book

AI-Assisted Data Science teaches you to use a new generation of AI assistants and Large Language Models (LLMs) to simplify and accelerate common data science tasks. Cornell professor and long-time LLM advocate Immanuel Trummer reveals techniques he’s pioneered for getting the most out of LLMs in data science, including model selection and specialization, techniques for tuning parameters, and reliable prompt templates.

You’ll start with an in-depth exploration of how LLMs work. Then, you’ll dive into no-code data analysis with LLMs, creating custom operators with the OpenAI Python API, and building complex data analysis pipelines with the cutting edge LangChain framework.

about the reader

For data scientists, data analysts, and others who are interested in making their work easier through the use of artificial intelligence techniques. Readers should have a basic understanding of the Python programming language.

about the author

Immanuel Trummer is an assistant professor for computer science at Cornell University and leader of the Cornell Database Group. His papers have been selected for “Best of VLDB”, “Best of SIGMOD”, for the ACM SIGMOD Research Highlight Award, and for publication in CACM as CACM Research Highlight. Immanuel’s online course on data management has reached over a million views on YouTube. Over the past few years, his group has published extensively on projects that apply large language models in the context of data science.

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choose your plan

team

monthly
annual
$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • AI-Assisted Data Science ebook for free
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