Gian Marco Iodice, Ronan Naughton - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Deep Learning at Scale
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Leading Effective Engineering Teams
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Data Modeling with Microsoft Power BI
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Augmented Analytics
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HashiCorp Terraform Associate (003) Exam Guide. Prepare to pass the Terraform Associate exam on your first attempt
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Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
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Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process
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Aplikacje ChatGPT. Wejdź na wyższy poziom z inteligentnymi programami - generatory, boty i wiele innych!
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Active Machine Learning with Python. Refine and elevate data quality over quantity with active learning
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
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Artificial Intelligence with Microsoft Power BI
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Ty w social mediach. Podręcznik budowania marki osobistej dla każdego. Wydanie III poszerzone
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Zarys problematyki zarządzania zasobami informatycznymi w przedsiębiorstwie
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10 zasad dowożenia projektów nierealnych. Jak odnosić sukcesy w trudnych i złożonych projektach informatycznych
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Head First Software Architecture
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Twoja firma w social mediach. Podręcznik marketingu internetowego dla małych i średnich przedsiębiorstw. Wydanie IV poszerzone
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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
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Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition
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Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
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Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
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MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
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Growth Hacking: Jak pomaga pozyskiwać nowych klientów i utrzymywać obecnych
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
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Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications
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Zwinne zarządzanie projektami dla bystrzaków. Wydanie III
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Praktyczne zarządzanie produktami dla właścicieli produktu. POSTAWY PROFESJONALNEGO WŁAŚCICIELA PRODUKTU PROWADZĄCE DO SUKCESU TWORZONYCH PRODUKTÓW
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Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
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TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition
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Scrum dla bystrzaków. Wydanie III
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Podstawy SCRUM
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Basics of Scrum
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CompTIA A+ Practice Tests Core 1 (220-1101) and Core 2 (220-1102). Pass the CompTIA A+ exams on your first attempt with rigorous practice questions
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Power BI i sztuczna inteligencja. Jak w pełni wykorzystać funkcje AI dostępne w Power BI
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Zostań Milionerem z ChatGPT. Prosty przewodnik jak osiągnąć sukces w każdej branży za pomocą sztucznej inteligencji
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Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition
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Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Kryptowaluty i świat wokół nich
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Architecting Data and Machine Learning Platforms
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Google Analytics od podstaw. Analiza wpływu biznesowego i wyznaczanie trendów
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CompTIA A+ Practice Test Core 1 (220-1101). Over 500 practice questions to help you pass the CompTIA A+ Core 1 exam on your first attempt
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Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning
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Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
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Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition
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Przetwarzanie języka naturalnego w praktyce. Przewodnik po budowie rzeczywistych systemów NLP
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Decyzyjni. Jak zwykli ludzie kreują niezwykłe produkty
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AI & Data Literacy. Empowering Citizens of Data Science
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Microsoft Power BI dla bystrzaków
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Graph-Powered Analytics and Machine Learning with TigerGraph
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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Inżynieria danych w praktyce. Kluczowe koncepcje i najlepsze technologie
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The Decision Intelligence Handbook
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Zaufanie do systemów sztucznej inteligencji
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Unifying Business, Data, and Code
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Inżynieria oprogramowania według Google. Czego warto się nauczyć o tworzeniu oprogramowania
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Oszukani przez Smart
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Metoda Running Lean. Iteracja od planu A do planu, który da Ci sukces. Wydanie III
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Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
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Building an Event-Driven Data Mesh
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Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Jak sztuczna inteligencja zmieni twoje życie
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The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
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DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
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Stwórz teraz wspaniałą firmę! Siedem etapów na drodze do wysokich zysków
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Tomographic imaging in environmental, industrial and medical applications
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Employer branding. Praktyczny podręcznik
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Practicing Trustworthy Machine Learning
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KPI, czyli kluczowe wskaźniki efektywności. 75 mierników ważnych dla każdego menedżera
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Strategiczne monolity i mikrousługi. Jak napędzać innowacyjność za pomocą przemyślanej architektury
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Salesforce Anti-Patterns. Create powerful Salesforce architectures by learning from common mistakes made on the platform
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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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Learning Google Analytics
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Optymalizacja w sterowaniu i podejmowaniu decyzji
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Certified Kubernetes Administrator (CKA) Exam Guide. Validate your knowledge of Kubernetes and implement it in a real-life production environment
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
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Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
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Matematyka w uczeniu maszynowym
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Cyfrowe Państwo. Uwarunkowania i perspektywy
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Świat kryptomilionerów. Znajdź swoją szansę w świecie Blockchaina
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Głębokie uczenie. Wprowadzenie
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Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Simplifying Android Development with Coroutines and Flows. Learn how to use Kotlin coroutines and the flow API to handle data streams asynchronously in your Android app
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Głębokie uczenie przez wzmacnianie. Praca z chatbotami oraz robotyka, optymalizacja dyskretna i automatyzacja sieciowa w praktyce. Wydanie II
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Tidy Modeling with R
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Polski e-konsument. Dekada zmian
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data
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Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
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Fundamentals of Data Engineering
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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AI-Powered Business Intelligence
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Practical Simulations for Machine Learning
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Natural Language Processing with Transformers, Revised Edition
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Git i GitHub. Kontrola wersji, zarządzanie projektami i zasady pracy zespołowej
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Fundamentals of Deep Learning. 2nd Edition
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Zwinni. Zbrodnia i Scrum
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Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
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Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
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Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
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The Kaggle Book. Data analysis and machine learning for competitive data science
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Salesforce CPQ Implementation Handbook. Configure Salesforce CPQ products to close more deals and generate higher revenue for your business
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Google Analytics w biznesie. Poradnik dla zaawansowanych. Wydanie II
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Data Algorithms with Spark
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TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
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Pandas Cookbook. Practical recipes for scientific computing, time series and exploratory data analysis using Python - Third Edition
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Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
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Modern Time Series Forecasting with Python. Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas - Second Edition
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Tools and Skills for .NET 8. Get the career you want with good practices and patterns to design, debug, and test your solutions
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Responsible AI Made Easy with TensorFlow. The Ultimate Roadmap to Ethical AI: A Practical Guide to AI Fairness, Accountability, and Transparency