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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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Omar Sanseviero, Pedro Cuenca, Apolinario Passos, Jonathan Whitaker
Hands-On Generative AI with Transformers and Diffusion Models

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fi…

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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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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…

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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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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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Grigory Sapunov
Deep Learning with JAX

Accelerate deep learning and other number-intensive tasks with JAX, Googles awesome high-performance numerical computing library.

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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…

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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…

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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…

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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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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

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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…

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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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Katherine Munro, Danko Nikolic, Stefan Papp, Wolfgang Weidinger
The Handbook of Data Science and AI

- A comprehensive overview of the various fields of application of data science and artificial intelligence. - Case studies from practice to make the described concepts tangible. - Practical examples to h…

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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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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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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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