131 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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Modern Data Architecture in AI(2025) CHOUDHURY, ABHIK,AMUDALA PUCHAKAYALA, PRANEETH REDDY,BADLANI, AISHWARYAVezava: Mehka57,01 € -
Probability and Statistics for Machine Learning(2025) AGGARWAL, CHARU C.This book covers probability and statistics from the machine learning perspective. From probability to machine learning: Many machine learning applications are addressed using probabilistic models, whose parameters are then learned in a data-driven mannerVezava: Mehka84,21 € -
Building Machine Learning Systems with a Feature Store(2025) DOWLING, JIMAuthor Jim Dowling introduces fundamental MLOps principles and practices for developing and operating reliable ML systems and describes the key data platform that you'll use to build and operate your ML systems: the feature store.Vezava: Mehka82,59 € -
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 €
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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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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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Causal Inference for Data Science(2025) DE VILLA, ALEIXCausal 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 practice in the real world. The practical techniquesVezava: Trda75,46 €
