Donella H. Meadows - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material
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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
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Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
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Data Governance Handbook. A practical approach to building trust in data
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
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Predictive Analytics for the Modern Enterprise
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Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
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Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
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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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The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
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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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Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
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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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Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
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Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
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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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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Google Analytics od podstaw. Analiza wpływu biznesowego i wyznaczanie trendów
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Amazon Redshift: The Definitive Guide
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Learning Data Science
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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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Fundamentals of Data Observability
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Cost-Effective Data Pipelines
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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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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Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Potoki danych. Leksykon kieszonkowy. Przenoszenie i przetwarzanie danych na potrzeby ich analizy
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Embedded Analytics
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Streaming Data Mesh
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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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Wizualizacja danych. Pulpity nawigacyjne i raporty w Excelu
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
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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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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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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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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Learning Microsoft Power BI
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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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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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
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Data Algorithms with Spark
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
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Data Mesh
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
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Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript
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Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
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Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
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Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python. Wydanie II
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Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs
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Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów
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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Big Data. Krótkie Wprowadzenie 30
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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
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Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
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Hands-On Data Visualization
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Data Pipelines Pocket Reference
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Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
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Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
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Wykorzystanie sztucznych sieci neuronowych
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Odsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe
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Analiza danych w zarządzaniu projektami
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The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation
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Opowieści ukryte w danych. Wyjaśnij dane i wywołaj działania za pomocą narracji
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Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
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Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
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The Self-Service Data Roadmap
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The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
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Myślenie systemowe. Wprowadzenie
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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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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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Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models
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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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Essential Guide to LLMOps. Implementing effective LLMOps strategies and tools from data to deployment
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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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Model Risk Management in Practice. A hands-on guide helping you with the design, implementation, monitoring, and reporting of Model Risk
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Analiza statystyczna z IBM SPSS Statistics