Adam Szpilewicz - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Augmented Analytics
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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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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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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Eksploracja danych za pomocą Excela. Metody uczenia maszynowego krok po kroku
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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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Automating Data Quality Monitoring
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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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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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Learning Data Science
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AI & Data Literacy. Empowering Citizens of Data Science
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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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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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Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
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Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
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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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DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
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Tomographic imaging in environmental, industrial and medical applications
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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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Dziennikarstwo danych i data storytelling
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Cyfrowe Państwo. Uwarunkowania i perspektywy
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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AI-Powered Business Intelligence
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Google Analytics w biznesie. Poradnik dla zaawansowanych. Wydanie II
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Data Mesh
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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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Google Analytics dla marketingowców. Wydanie III
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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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LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
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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 Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Salesforce Data Architecture and Management. A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively
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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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Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
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Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools
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Wykorzystanie sztucznych sieci neuronowych
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Język R i analiza danych w praktyce. Wydanie II
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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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The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
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arc42 by Example. Software architecture documentation in practice
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5
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Wprowadzenie do systemów baz danych. Wydanie VII
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Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
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Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
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Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
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Spark: The Definitive Guide. Big Data Processing Made Simple
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Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
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SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
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R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
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Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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Data Science i uczenie maszynowe
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Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
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Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Deep Learning with TensorFlow. Explore neural networks with Python
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Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
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Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python
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Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
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Learning PySpark. Click here to enter text
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Zrozumieć BPMN. Modelowanie procesów biznesowych. Wydanie 2 rozszerzone
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Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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Analiza biznesowa. Praktyczne modelowanie organizacji
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R: Unleash Machine Learning Techniques. Smarter data analytics
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Android High Performance Programming. Click here to enter text
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Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
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Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
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R: Data Analysis and Visualization. Click here to enter text
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Python: Real-World Data Science. Real-World Data Science
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Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
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Big Data. Najlepsze praktyki budowy skalowalnych systemów obsługi danych w czasie rzeczywistym
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Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
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Spark. Zaawansowana analiza danych
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Mastering Data Analysis with R. Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization
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Analiza danych w naukach ścisłych i technice
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Effective Computation in Physics
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Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
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Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica
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Metoda Lean Analytics. Zbuduj sukces startupu w oparciu o analizę danych
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Getting Started with Simulink. Written by an experienced engineer, this book will help you utilize the great user-friendly features of Simulink to advance your modeling, testing, and interfacing skills. Packed with illustrations and step-by-step walkthroughs
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Oracle Database 12c Backup and Recovery Survival Guide. A comprehensive guide for every DBA to learn recovery and backup solutions
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Excel 2010 PL. Ilustrowany przewodnik
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Access. Analiza danych. Receptury
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MySQL Management and Administration with Navicat. Master the tools you thought you knew and discover the features you never knew existed with this book and
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Microsoft SQL Server. Modelowanie i eksploracja danych
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Zrozumieć BPMN. Modelowanie procesów biznesowych
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Data Mashups in R. A Case Study in Real-World Data Analysis
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SQL dla analityków danych. Kurs video. Kompleksowe przygotowanie do pracy
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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
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Analiza statystyczna z IBM SPSS Statistics
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Learning Kibana 7. Build powerful Elastic dashboards with Kibana's data visualization capabilities - Second Edition
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Tabele i wykresy przestawne od A do Z - dynamiczna analiza dużych zbiorów danych