Anindita Mahapatra, Doug May - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Przestań się bać! Kryptowaluty są dla Ciebie
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Prompt Engineering - zostań Panem Sztucznej Inteligencji
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Practical Lakehouse Architecture
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Systemy IT w Polsce
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Introduction to Algorithms. A Comprehensive Guide for Beginners: Unlocking Computational Thinking
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Algorithms and Data Structures with Python. A comprehensive guide to data structures & algorithms via an interactive learning experience
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Data Analysis Foundations with Python. Master Data Analysis with Python: From Basics to Advanced Techniques
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Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
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Making Futures Work
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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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Microsoft Azure AI Fundamentals AI-900 Exam Guide. Gain proficiency in Azure AI and machine learning concepts and services to excel in the AI-900 exam
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Salesforce B2C Solution Architect's Handbook. Leverage Salesforce to create scalable and cohesive business-to-consumer experiences - Second Edition
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Before Machine Learning Volume 1 - Linear Algebra for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence
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Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
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Zarządzanie danymi w zbiorach o dużej skali. Nowoczesna architektura z siatką danych i technologią Data Fabric. Wydanie II
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Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
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Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
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Uczenie maszynowe w Pythonie. Receptury. Od przygotowania danych do deep learningu. Wydanie II
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The Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition
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Linkerd: Up and Running
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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 Power Query (M). Mastering complex data transformation with Power Query
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Zarys problematyki zarządzania zasobami informatycznymi w przedsiębiorstwie
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Head First Software Architecture
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Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
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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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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Effective Machine Learning Teams
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Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
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Eksploracja danych za pomocą Excela. Metody uczenia maszynowego krok po kroku
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MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
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Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
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MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition
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Jak nadążyć za kryptowalutami. Przewodnik po Bitcoinie i nowej cyfrowej ekonomii
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Automating Data Quality Monitoring
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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
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Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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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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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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Implementing MLOps in the Enterprise
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Machine Learning Interviews
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TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition
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Mastering Bitcoin. 3rd Edition
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Data Science: The Hard Parts
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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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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The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Microsoft Power BI dla zaawansowanych. Eksperckie techniki tworzenia interaktywnych analiz w świecie biznesu. Wydanie II
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Amazon Redshift: The Definitive Guide
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TensorFlow Developer Certificate Guide. Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam
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Learning Data Science
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Metawersum: nowe wyzwania dla zarządzania w gospodarce cyfrowej
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie III
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AI w Biznesie: Praktyczny Przewodnik Stosowania Sztucznej Inteligencji w Różnych Branżach
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Przetwarzanie języka naturalnego w praktyce. Przewodnik po budowie rzeczywistych systemów NLP
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Probabilistic Machine Learning for Finance and Investing
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Decyzyjni. Jak zwykli ludzie kreują niezwykłe produkty
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Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Graph-Powered Analytics and Machine Learning with TigerGraph
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Marketing i analityka biznesowa dla początkujących. Poznaj najważniejsze narzędzia i wykorzystaj ich możliwości
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Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V
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Uczenie maszynowe z użyciem Scikit-Learn, Keras i TensorFlow. Wydanie III
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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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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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Newsletter
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SEO w 14 dni. Daj się znaleźć online
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Inżynieria oprogramowania według Google. Czego warto się nauczyć o tworzeniu oprogramowania
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Pierwsze kroki w Power BI. Kompletny przewodnik po praktycznej analityce biznesowej. Wydanie II
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Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
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Data Management at Scale. 2nd Edition
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Operating Continuously
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DevOps. Światowej klasy zwinność, niezawodność i bezpieczeństwo w Twojej organizacji. Wydanie II
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Sklep online w 30 dni. Zaplanuj, uruchom i zacznij zarabiać
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Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
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Red Hat Certified Specialist in Services Management and Automation EX358 Exam Guide. Get your certification and prepare for real-world challenges as a Red Hat Certified Specialist
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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The Enterprise Data Catalog
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Spark. Błyskawiczna analiza danych. Wydanie II
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Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
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Sztuczna inteligencja. Nowe spojrzenie. Wydanie IV. Tom 1
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Sztuczna inteligencja. Nowe spojrzenie. Wydanie IV. Tom 2
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Strategiczne monolity i mikrousługi. Jak napędzać innowacyjność za pomocą przemyślanej architektury
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
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Optymalizacja w sterowaniu i podejmowaniu decyzji
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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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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Etat czy B2B dla IT - Programista
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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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IT-sektor marzeń? Znajdź swoje miejsce w świecie IT
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Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. 3rd Edition
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Praktyczne uczenie maszynowe w języku R
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Matematyka w uczeniu maszynowym
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Data Quality Fundamentals
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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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Kryptowaluty. Dlaczego jeden bitcoin wart będzie milion dolarów? Edycja 2.0
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Hands-On Healthcare Data
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Inżynieria danych na platformie AWS. Jak tworzyć kompletne potoki uczenia maszynowego
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Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems
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Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
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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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Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures
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Polars Cookbook. Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars 1.x
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Application Lifecycle Management on Microsoft Power Platform. A comprehensive guide to managing the deployment of your solutions
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Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition
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Data Analysis with Polars. Get up and running with Polars to perform effective data analysis with Rust
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Microsoft Power BI Cookbook. Convert raw data into business insights with updated techniques, use cases, and best practices - Third Edition
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Google Machine Learning and Generative AI for Solutions Architects. Build efficient and scalable AI/ML solutions on Google Cloud