Data Science – Bücher, CDs, LPs und mehr, Seite 8

Yves Hilpisch
Reinforcement Learning for Finance

"Reinforcement learning (RL) has led to several breakthroughs in Al. The use of the deep Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a super…

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Constantin Gonciulea, Charlee Stefanski
Building Quantum Software in Python

A developer-centric look at quantum computing. The demand for developers who can implement solutions with quantum resources is growing larger every day. Building Quantum Software with Python gives you th…

lieferbar ab 27.5.2025.

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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problems Offering insights across various domains such as co…

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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…

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Robert Osazuwa Ness
Causal AI

From the back cover: Causal AI teaches you how to build machine learning and deep learning models that implement causal reasoning. Discover why leading AI engineers are so excited by causal reasoning, an…

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Mark Liu
Learn Generative AI with Pytorch

From the back cover: Learn Generative AI with PyTorch introduces the underlying mechanics of generative AI by helping you build your own working AI models. You'll begin by creating simple images using a …

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Grigory Sapunov
Deep Learning with JAX

From the back cover: Deep Learning with JAX teaches you how to use JAX and its ecosystem to build neural networks. You'll learn by exploring interesting examples including an image classification tool, a…

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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…

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

From the back cover: Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine le…

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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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Dario Cabianca
AWS Certified Machine Learning Engineer Study Guide

Prepare for the AWS Machine Learning Engineer certification exam quickly and efficiently The AWS Certified Machine Learning Engineer Study Guide is a comprehensive resource for complete coverage of the ch…

lieferbar ab 2.7.2025.

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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…

lieferbar ab 4.11.2025.

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John Berryman, Albert Ziegler
Prompt Engineering for LLMs

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to u…

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Tobias Zwingmann, Willi Weber
Augmented Analytics

Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern …

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Chris Fregly
AI Systems Performance Engineering

Elevate your AI system performance capabilities with this definitive guide to unlocking peak efficiency across every layer of your AI infrastructure. In today's era of ever-growing generative models, AI S…

lieferbar ab 4.11.2025.

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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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Dana Alison Levy
Breaking the Mold

"Sixteen profiles of scientists who are changing the face of science and the future of Earth through their research"--

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Alex Soto Bueno, Markus Eisele, Natale Vinto
Applied AI for Enterprise Java Development

As a Java enterprise developer or architect, you know that embracing AI isn't just optional--it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groun…

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Janna Lipenkova
The Art of AI Product Development

A hands-on guide for delivering products infused with artificial intelligence! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation. The Art of AI Product D…

lieferbar ab 29.7.2025.

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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.

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