Trefferliste "Computer-Supported Collaborative Learning" - alle Bücher, LPs und CDs

Wir konnten keine exakten Treffer zu Ihrer Suche nach "Computer-supported collaborative learning" finden. Könnten diese Produkte zu Ihrer Suche passen?

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 29.4.2025.

Buch

Robert Osazuwa Ness
Causal AI

Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and con…

lieferbar innerhalb 1-2 Wochen

Buch

Mark Liu
Learn Generative AI with Pytorch

Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music. Learn Generative AI with PyTorch teaches the underlying…

sofort lieferbar

Buch

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…

sofort lieferbar

Buch

Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Machine Learning for Tabular Data teach…

lieferbar innerhalb 1-2 Wochen

Buch

Constantin Gonciulea, Charlee Stefanski
Building Quantum Software in Python

A developer-centric look at quantum computing. Quantum computing opens a new realm of possibilities for developers working in complex research and business domains like industrial simulation, predictive …

Erscheint bald

Buch

Vadim Smolyakov
Machine Learning Algorithms in Depth

Machine Learning Algorithms in Depth dives deep into the 'how' and the 'why' of machine learning algorithms. For each category of an algorithm, you will go from math-first principles to hands-on implement…

lieferbar innerhalb 2-3 Wochen

Buch

Klaus-Dieter Gronwald
Integrierte Business-Informationssysteme

eXamen.press

Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship (CRM), Business Intelligence (BI), und Big Data Analytics sind unternehmerische Aufgaben und Prozesse, die durch st…

lieferbar ab 31.5.2025.

Buch

George Mount
Modern Data Analytics in Excel

"If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be…

lieferbar innerhalb 1-2 Wochen

Buch

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 …

lieferbar innerhalb 1-2 Wochen

Buch

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 …

sofort lieferbar

Buch

Luanne Misquitta, Christophe Willemsen
Neo4j: The Definitive Guide

Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to pow…

lieferbar ab 2.9.2025.

Buch

Dario Cabianca
AWS Certified Machine Learning Study Guide

Prepare for the AWS Machine Learning exam smarter and faster and get job-ready with this efficient and authoritative resource In AWS Certified Machine Learning Study Guide: Associate (MLA-C01) Exam, veter…

lieferbar ab 5.8.2025.

Buch

Bing Zhang
Machine Learning-Based Hyperspectral Image Processing

An authoritative deep dive into the most recent machine learning approaches to hyperspectral remote sensing image processing In Machine Learning-Based Hyperspectral Image Processing, distinguished researc…

Erscheint bald

Buch

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 2.9.2025.

Buch

Jay Alammar, Maarten Grootendorst
Hands-On Large Language Models

AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before…

sofort lieferbar

Buch

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…

lieferbar innerhalb 1-2 Wochen

Buch

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…

Erscheint bald

Buch

Catherine Nelson
Software Engineering for Data Scientists

This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science.

lieferbar innerhalb 1-2 Wochen

Buch

David Tan, Ada Leung, David Colls
Effective Machine Learning Teams

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bri…

lieferbar innerhalb 1-2 Wochen

Buch

Informationen zur Lieferbarkeit bzw. zu Veröffentlichungsterminen von Artikeln beruhen auf Vorabinformationen unserer Lieferanten. Diese Termine sind ohne Gewähr und können sich jederzeit ändern.