Daniel Brzózka - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
-
Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
-
Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
-
Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
-
Data Wrangling on AWS. Clean and organize complex data for analysis
-
Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
-
Marketing i analityka biznesowa dla początkujących. Poznaj najważniejsze narzędzia i wykorzystaj ich możliwości
-
Wizualizacja danych. Pulpity nawigacyjne i raporty w Excelu
-
Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
-
Dziennikarstwo danych i data storytelling
-
Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
-
The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
-
Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
-
Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
-
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
-
Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
-
Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
-
Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
-
Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
-
Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
-
Wykorzystanie sztucznych sieci neuronowych
-
Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
-
The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
-
The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
-
Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
-
Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
-
Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
-
Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
-
Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
-
Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
-
Data Wrangling with Python. Creating actionable data from raw sources
-
Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
-
Wprowadzenie do systemów baz danych. Wydanie VII
-
Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
-
Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
-
Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems
-
QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
-
Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
-
Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
-
Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
-
Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
-
R Programming Fundamentals. Deal with data using various modeling techniques
-
Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
-
Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
-
Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
-
Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
-
Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
-
Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
-
Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
-
Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
-
SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
-
MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
-
TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
-
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
-
Python. Uczenie maszynowe
-
Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
-
Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
-
Learning Spark SQL. Architect streaming analytics and machine learning solutions
-
Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
-
Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
-
Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
-
Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
-
Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
-
Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
-
Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
-
Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
-
Deep Learning with TensorFlow. Explore neural networks with Python
-
Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
-
Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
-
R: Unleash Machine Learning Techniques. Smarter data analytics
-
Hadoop: Data Processing and Modelling. Data Processing and Modelling
-
R: Data Analysis and Visualization. Click here to enter text
-
Python: Real-World Data Science. Real-World Data Science
-
R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
-
Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
-
Mastering Python Data Visualization. Generate effective results in a variety of visually appealing charts using the plotting packages in Python
-
Python Machine Learning. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
-
Effective Computation in Physics
-
Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
-
Mastering Hadoop. Go beyond the basics and master the next generation of Hadoop data processing platforms
-
Google Compute Engine
-
Hurtownie danych. Od przetwarzania analitycznego do raportowania
-
Power Automate. Kurs video. Automatyzacja procesów biznesowych
-
Excel 2013. Kurs video. Poziom drugi. Przetwarzanie i analiza danych
-
Polars Cookbook. Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars
-
Analiza statystyczna z IBM SPSS Statistics