Artificial Intelligence, Machine Learning, Data Science – alle Bücher und LPs, Seite 3 online kaufen

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

lieferbar innerhalb 2-3 Wochen

Buch

Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability

This open-access book presents the best research papers from the XIV International Congress on Tourism and Information and Communications Technologies (TURITEC2023), held in Málaga, Spain from 19 to 20 Oc…

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Artificial Intelligence with and for Learning Sciences. Past, Present, and Future Horizons

Lecture Notes in Computer Science - Band 14545

This book constitutes the refereed conference proceedings of the First Workshop on Artificial Intelligence with and for Learning Sciences - Past, Present, and Future Horizons, WAILS 2024, held in Salerno,…

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Alex Ruiz de Villa
Causal Inference for Data Science

Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The numerous insightful examples show you how to put causal inference into pr…

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Emmanuel Maggiori
The AI Pocketbook

Everything you need to know about AI to survive—and thrive—as an engineer. Haven’t you heard? AI can instantly generate code, find and track network intrusions, parse your observability data, and even wr…

lieferbar ab 27.5.2025.

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Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Machine Learning Production Systems

"Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those moving fro…

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Valerii Babushkin, Arseny Kravchenko
Machine Learning System Design

Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems. From information gathering to release and maintenance, Machine …

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Steve Wilson
The Developer's Playbook for Large Language Model Security

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Autho…

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Sean Moriarity
Machine Learning in Elixir

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in …

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Suneeta Mall
Deep Learning at Scale

"Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that …

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Dario Cabianca
AWS Certified Machine Learning Engineer Study Guide

Prepare for the AWS Machine Learning Engineer exam smarter and faster and get job-ready with this efficient and authoritative resource In AWS Certified Machine Learning Engineer Study Guide: Associate (M…

lieferbar ab 5.8.2025.

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Resve A Saleh, Sohaib Majzoub, A K MD Ehsanes Saleh
Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science. In recent years, machine learning (ML) has transformed virtually every area of research and technology, becomin…

lieferbar ab 28.5.2025.

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Vikram Elango, Vivek Gangasani, Shreyas Subramanian
AWS Certified AI Practitioner Study Guide

Quickly and intelligently prepare for the AIF-C01 exam and succeed in your first role as an AWS AI practitioner In AWS Certified AI Practitioner Study Guide: Foundational (AIF-C01) Exam, a team of veteran…

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Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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Edward Raff, Drew Farris, Stella Biderman
How Large Language Models Work

Learn how large language models like GPT and Gemini work under the hood in plain English. How Large Language Models Work translates years of expert research on Large Language Models into a readable, focu…

lieferbar ab 24.6.2025.

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Brent Laster
Learning GitHub Copilot

Harness the power of generative AI in your coding with GitHub Copilot. In this practical guide, author Brent Laster explains what Copilot is, how it works, and what it can do for you. You'll learn how to …

lieferbar ab 31.7.2025.

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Suhas Pai
Designing Large Language Model Applications

Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged app…

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Ryan Day
Hands-On APIs for AI and Data Science

Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data scie…

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Kristen Kehrer, Caleb Kaiser
Machine Learning Upgrade

An end-to-end framework for developing Large Language Model (LLM)-based applications Traditionally, there has been a divide between data scientists and software engineers. With the advent of LLMs, however…

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Trefferliste "Artificial Intelligence, Machine Learning, Data Science" - alle Bücher und LPs