106 rezultatov
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy(2017) CATHY O`NEILVezava: Mehka18,21 € -
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Building Transformer Models with PyTorch 2.0(2024) TIMSINA, PREMTransformer architecture for different modalities and multimodalities. Practical guidelines to build and fine-tune transformer models. Comprehensive code samples with detailed documentation.53,21 € -
Optimizing AI and Machine Learning Solutions(2024) BAIG, MIRZA RAHIMBuild and fine-tune models for maximum performance. Practical tips to make your own state-of-the-art AI/ML models. ML/AI problem solving tips with multiple case studies to tackle real-world challenges.59,88 € -
Learn Data Science from Scratch(2024) PADMAN, PRATHEERTHComplete guide to master data science basics. Practical and hands-on examples in ML, deep learning, and NLP. Drive innovation and improve decision making through the power of data.60,81 €
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Hands-On RAG for Production(2026) MENDELEVITCH, OFER,BAO, FORRESTAuthors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. This book simplifies the process, offering aVezava: Mehka82,59 €
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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: Mehka91,86 €
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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: Trda212,79 €
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Hands-On Machine Learning with Scikit-Learn and PyTorch(2025) GERON, AURELIENThe potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. In a way that's approachable yet deeply informative, author Aurelien Geron delivers the ultimate introVezava: Mehka92,91 €
