Srikumar Nair, Charles Lamanna - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
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Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
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Augmented Analytics
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Data Governance Handbook. A practical approach to building trust in data
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Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - 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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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
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LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential
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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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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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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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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
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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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Uczenie maszynowe: Scikit-Learn, Keras i TensorFlow. Szczegółowy poradnik
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Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
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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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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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Deciphering Data Architectures
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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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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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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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Automating Data Quality Monitoring
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
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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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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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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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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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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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Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization
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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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Data Curious
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Cost-Effective Data Pipelines
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Python w analizie danych. Przetwarzanie danych za pomocą pakietów pandas i NumPy oraz środowiska Jupyter. 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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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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Inżynieria danych w praktyce. Kluczowe koncepcje i najlepsze technologie
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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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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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Data Management at Scale. 2nd Edition
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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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Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
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The Enterprise Data Catalog
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DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
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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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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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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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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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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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Data Quality Engineering in Financial Services
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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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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Learning Microsoft Power BI
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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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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Fundamentals of Data Engineering
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Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
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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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Excel 2021 i Microsoft 365. Analiza i modelowanie danych biznesowych
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Excel 2021 i Microsoft 365. Przetwarzanie danych za pomocą tabel przestawnych
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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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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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Analiza danych behawioralnych przy użyciu języków R i Python
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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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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
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Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
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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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Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform
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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 70 practical recipes to transform, manipulate, and analyze your data using Python Polars
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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 in Rust