143 rezultatov
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy(2017) CATHY O’NEIL , CATHY O`NEILVezava: Mehka15,41 € -
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Machine Learning for the Quantified Self(2017) HOOGENDOORN, MARK,FUNK, BURKHARDTThis book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience.Vezava: Trda226,97 € -
Scaling Graph Learning for the Enterprise(2025) MENSHAWY, AHMED,MOHAMED, SAMEH,MASOUD, MARAIM RIZKWith this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to build an E2E graph learning pipeline. You'll explore core challenges at each pipeline stage, from data acquisition and representation to reaVezava: Mehka82,59 € -
Learning GitHub Copilot(2025) LASTER, BRENTSupercharge your coding productivity with generative AI using GitHub Copilot. In this practical guide, author Brent Laster guides you through using generative AI for writing better code faster, generating tests with ease, creating polished documentation aVezava: Mehka72,26 € -
The TensorFlow Workshop(2021) MOOCARME, MATTHEW,SO, ANTHONY,MADDALONE, ANTHONYThis Workshop will teach you how to build deep learning models from scratch using real-world datasets with the TensorFlow framework. You will gain the knowledge you need to process a variety of data types, perform tensor computations, and understand the dVezava: Mehka66,28 €
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Developing Apps with GPT-4 and ChatGPT(2024) CAELEN, OLIVIER,BLETE, MARIE-ALICEThis book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how tVezava: Mehka61,94 €
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LLMs and Generative AI for Healthcare(2024) HOLLEY, KERRIE,MATHUR, MANISHThis practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of large language models (LLMs) and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.Vezava: Mehka58,07 €
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Deep Learning for Finance(2024) KAABAR, SOFIENThis hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create, trade, and back-test trading algorithms based on machine learning and reinforcement learning.Vezava: Mehka72,26 €
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Learning Data Science(2023) LAU, SAM,GONZALEZ, JOSEPH,NOLAN, DEBORAHLearning Data Science is the first book to cover foundational skills in both programming and statistics that encompass the entire data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.Vezava: Mehka92,91 € -
Designing Large Language Model Applications(2025) PAI, SUHASWith this book, you'll learn the tools, techniques, and playbooks for building useful products that incorporate the power of language models.Vezava: Mehka82,59 € -
Machine Learning(2024) B R, AKSHAY,PULARI, SINI RAJ,MURUGESH, T S (GOVT. COLLEGE OF ENGINEERING SRIRANGAM, TAMIL NADU),VASUDEVAN, SHRIRAM K (INTEL INDIA PVT LTD., TAMIL NADU)Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions, and continually enhance performance. Dive into this fascinating field to master the concepts with theVezava: Mehka83,99 €
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Developer's Playbook for Large Language Model Security(2024) WILSON, STEVEThis practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inhereVezava: Mehka82,59 € -
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