Dipanjan Sarkar, Raghav Bali - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
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Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
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Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
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Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
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SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform
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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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Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
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NoSQL, NewSQL i BigData. Bazy danych następnej generacji
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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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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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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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Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
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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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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore
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R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
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R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition
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Data science od podstaw. Analiza danych w Pythonie
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Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
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Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
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MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
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Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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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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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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Visualizing Streaming Data. Interactive Analysis Beyond Static Limits
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SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
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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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Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform
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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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TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
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Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions
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Introduction to Machine Learning with R. Rigorous Mathematical Analysis
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Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale
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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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MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
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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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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Język R. Kompletny zestaw narzędzi dla analityków danych
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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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Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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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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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
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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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R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
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Raportowanie w System Center Configuration Manager Bez tajemnic
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
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Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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Deep Learning. A Practitioner's Approach
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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
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Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
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Data Science i uczenie maszynowe
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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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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
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Mastering Java for Data Science. Analytics and more for production-ready applications
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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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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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
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QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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Efficient R Programming. A Practical Guide to Smarter Programming
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R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
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Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
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R: Unleash Machine Learning Techniques. Smarter data analytics
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Hadoop Blueprints. Click here to enter text
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Smart Internet of Things Projects. Click here to enter text
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Spark for Data Science. Click here to enter text
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Naczelny Algorytm. Jak jego odkrycie zmieni nasz świat
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Android High Performance Programming. Click here to enter text
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Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
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Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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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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Data Analytics with Hadoop. An Introduction for Data Scientists
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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
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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
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Hands-On Machine Learning with Scikit-Learn and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems
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R for Data Science. Import, Tidy, Transform, Visualize, and Model Data