M. - ebooki
Tytuły autora: M. dostępne w księgarni Ebookpoint
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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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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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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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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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R Programming Fundamentals. Deal with data using various modeling techniques
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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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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
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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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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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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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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
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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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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
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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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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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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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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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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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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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Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
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SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
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Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
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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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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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Machine Learning and Security. Protecting Systems with Data and Algorithms
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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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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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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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Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
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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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Learning Apache Apex. Real-time streaming applications with Apex
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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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R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
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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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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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Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition
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Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
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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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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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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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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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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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Deep Learning. A Practitioner's Approach
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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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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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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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 Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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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 Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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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 Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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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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Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
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Deep Learning with TensorFlow. Explore neural networks with Python
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Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
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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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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
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Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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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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Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
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Learning PySpark. Click here to enter text
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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Go Design Patterns. Best practices in software development and CSP
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Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
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TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
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Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
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Mastering Text Mining with R. Extract and recognize your text data
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Scientific Computing with Python 3. Click here to enter text
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
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Bayesian Analysis with Python. Click here to enter text
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R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
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Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second 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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Spark for Data Science. Click here to enter text
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition