Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
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Augmented Analytics
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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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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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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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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Eksploracja danych za pomocą Excela. Metody uczenia maszynowego krok po kroku
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Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
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Automating Data Quality Monitoring
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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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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Amazon Redshift: The Definitive Guide
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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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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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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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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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Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
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Data Management at Scale. 2nd Edition
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Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
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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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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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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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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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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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AI-Powered Business Intelligence
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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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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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Data Mesh
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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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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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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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3D Graphics Rendering Cookbook. A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan
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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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Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów
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Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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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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Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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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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Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Learn TensorFlow Enterprise. Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise
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Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
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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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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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The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
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The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
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The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
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The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
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The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
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Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
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Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
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The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
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Język R. Receptury. Analiza danych, statystyka i przetwarzanie grafiki. Wydanie II
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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
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Data science od podstaw. Analiza danych w Pythonie. Wydanie II
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
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Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
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Korporacyjne jezioro danych. Wykorzystaj potencjał big data w swojej organizacji
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Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
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Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
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Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
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arc42 by Example. Software architecture documentation in practice
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Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java
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Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
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Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques
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Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI
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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
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Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
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Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
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Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
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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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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