Data Analysis with Llms

Text, Tables, Images and Sound

Leseprobe

Data Analysis with Llms - Trummer, Immanuel

Leseprobe

Fotogalerie

Immanuel Trummer

Data Analysis with Llms

Text, Tables, Images and Sound

Broschiertes Buch

Jetzt bewerten Jetzt bewerten

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

Andere Kunden interessierten sich auch für

Andrew Freed
Effective Conversational AI

64,99 €
Micheal Lanham
AI Agents in Action

54,99 €
Nitin Seth
Mastering the Data Paradox

17,99 €
Noelle Russell
Scaling Responsible AI

33,99 €
Richard Urwin
Artificial Intelligence for Developers in Easy Steps

14,99 €
Angelica Duca
Data Storytelling with Altair and AI

45,99 €
Jiawei Han (Department of Computer ScienceUniversity of Professor
Data Mining

95,99 €

Produktbeschreibung

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

Produktdetails

Produktdetails
Verlag: Manning Publications
Seitenzahl: 232
Erscheinungstermin: 27. Mai 2025
Englisch
Abmessung: 232mm x 184mm x 14mm
Gewicht: 424g
ISBN-13: 9781633437647
ISBN-10: 1633437647
Artikelnr.: 72498798

Herstellerkennzeichnung
Libri GmbH
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de

Produktdetails

Verlag: Manning Publications
Seitenzahl: 232
Erscheinungstermin: 27. Mai 2025
Englisch
Abmessung: 232mm x 184mm x 14mm
Gewicht: 424g
ISBN-13: 9781633437647
ISBN-10: 1633437647
Artikelnr.: 72498798

Herstellerkennzeichnung
Libri GmbH
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de

Autorenporträt

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.