Katharine Jarmul - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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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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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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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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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
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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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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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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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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
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R Programming Fundamentals. Deal with data using various modeling techniques
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Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
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Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
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Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
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Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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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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Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
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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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Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
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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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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
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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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Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
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Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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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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Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
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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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Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
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Microsoft Excel 2013. Analiza i modelowanie danych biznesowych
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Practical Tableau. 100 Tips, Tutorials, and Strategies from a Tableau Zen Master
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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence
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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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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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SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
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Spark: The Definitive Guide. Big Data Processing Made Simple
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IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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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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Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining 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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Making Data Visual. A Practical Guide to Using Visualization for Insight
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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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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition
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Język R. Kompletny zestaw narzędzi dla analityków danych
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Microsoft Excel 2016 Analiza i modelowanie danych biznesowych
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Learning Apache Apex. Real-time streaming applications with Apex
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ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
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R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
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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 MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition
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Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
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Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning
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Building Web and Mobile ArcGIS Server Applications with JavaScript. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition
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Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
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Modern R Programming Cookbook. Recipes to simplify your statistical applications
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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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Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
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Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
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Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
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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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Network Security Through Data Analysis. From Data to Action. 2nd Edition
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Raportowanie w System Center Configuration Manager Bez tajemnic
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
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Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
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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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Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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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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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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Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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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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Python Machine Learning By Example. The easiest way to get into machine learning
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - 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