eBooki
W kategorii eBooki znajdziesz książki w postaci elektronicznej, w formie PDF, ePub oraz mobi. Po zakupie e-booka będzie on dostępny w Bibliotece na koncie użytkownika. Książki przeczytasz na laptopie, tablecie, smartfonie lub czytniku ebooków (Kindle, Pocketbook, inkBOOK, Prestigio i innych). Więcej na temat wykorzystania i zabezpieczenia eBooków znajdziesz na stronie "Przewodnik po eBookach".
Ebooki dostępne w księgarni Ebookpoint
-
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
-
Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
-
Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
-
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
-
Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
-
Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
-
Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps
-
fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
-
Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
-
Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
-
Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
-
Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
-
Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
-
Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
-
Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
-
Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
-
Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
-
Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
-
Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
-
PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
-
SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
-
Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
-
Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform
-
Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
-
Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
-
Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
-
Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
-
Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
-
Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
-
Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions
-
Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
-
Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
-
Solidity Programming Essentials. A beginner's guide to build smart contracts for Ethereum and blockchain
-
TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
-
Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
-
R Deep Learning Projects. Master the techniques to design and develop neural network models in R
-
Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
-
Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
-
Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
-
SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
-
Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
-
Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
-
Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
-
Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
-
Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
-
Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
-
Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
-
Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
-
Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
-
Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
-
Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
-
D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
-
R Programming Fundamentals. Deal with data using various modeling techniques
-
MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
-
Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
-
Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
-
Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
-
Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
-
MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
-
Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
-
Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
-
Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
-
Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
-
R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
-
Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
-
Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore
-
Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
-
Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
-
PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
-
Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
-
Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
-
Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
-
Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
-
Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
-
Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
-
Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
-
Apache Ignite Quick Start Guide. Distributed data caching and processing made easy
-
Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
-
Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
-
Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
-
Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
-
Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
-
Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
-
Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
-
Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
-
Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
-
Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
-
QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
-
Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
-
Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
-
TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
-
Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
-
Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
-
Go Design Patterns. Best practices in software development and CSP
-
Learning PySpark. Click here to enter text
-
Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
-
Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
-
Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
-
Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
-
Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
-
Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
-
Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
-
Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
-
PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
-
Mastering Spark for Data Science. Lightning fast and scalable data science solutions
-
Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
-
Deep Learning with TensorFlow. Explore neural networks with Python
-
Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
-
Effective Amazon Machine Learning. Expert web services for machine learning on cloud
-
Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
-
Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
-
Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
-
Mastering Java for Data Science. Analytics and more for production-ready applications
-
Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
-
Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
-
D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
-
Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
-
Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
-
Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
-
Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition