Prabhanjan Narayanachar Tattar - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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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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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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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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Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
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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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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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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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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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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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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
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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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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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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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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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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
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Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
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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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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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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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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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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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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Microsoft Excel 2013 Budowanie modeli danych przy użyciu PowerPivot
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Microsoft SQL Server 2012 Analysis Services: Model tabelaryczny BISM
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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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Power BI i Power Pivot dla Excela. Analiza danych
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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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 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 Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
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Kompletny przewodnik po DAX, wyd. 2 rozszerzone. Analiza biznesowa przy użyciu Microsoft Power BI, SQL Server Analysis Services i Excel
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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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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
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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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Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
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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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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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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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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 Time Series Analysis with R. Perform time series analysis and forecasting using R
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Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
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Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
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Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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Wprowadzenie do systemów baz danych. Wydanie VII
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Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
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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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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
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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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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
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Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
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Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
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Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
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Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
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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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Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
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Visualizing Streaming Data. Interactive Analysis Beyond Static Limits
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
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Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
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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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TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
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Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
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Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
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Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
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Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
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Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
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Learning Apache Apex. Real-time streaming applications with Apex
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Python. Uczenie maszynowe
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R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
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Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
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Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
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Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools
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Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
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Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models
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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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Big Data Processing with Apache Spark. Efficiently tackle large datasets and big data analysis with Spark and Python
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Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding