Martin Czygan, Phuong Vo.T.H, Ashish Kumar, Kirthi Raman - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
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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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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances
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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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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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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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Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition
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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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Keras Deep Learning Cookbook. Over 30 recipes for implementing deep neural networks in Python
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Machine Learning Projects for Mobile Applications. Build Android and iOS applications using TensorFlow Lite and Core ML
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Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems
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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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Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
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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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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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Keras Reinforcement Learning Projects. 9 projects exploring popular reinforcement learning techniques to build self-learning agents
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Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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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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Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
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Artificial Intelligence for Robotics. Build intelligent robots that perform human tasks using AI techniques
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Hands-On Artificial Intelligence for Search. Building intelligent applications and perform enterprise searches
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Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition
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Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
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Uczenie maszynowe z użyciem Scikit-Learn i TensorFlow
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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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Deep Learning. Praktyczne wprowadzenie
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Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
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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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Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
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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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Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
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Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud
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Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library
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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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Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your 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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Hands-On GUI Programming with C++ and Qt5. Build stunning cross-platform applications and widgets with the most powerful GUI framework
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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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Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
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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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Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition
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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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TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
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Cloud Native Development Patterns and Best Practices. Practical architectural patterns for building modern, distributed cloud-native systems
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Mastering PostgreSQL 10. Expert techniques on PostgreSQL 10 development and administration
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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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Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
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OpenCV 3.x with Python By Example. Make the most of OpenCV and Python to build applications for object recognition and augmented reality - Second Edition
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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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Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
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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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Neural Networks with R. Build smart systems by implementing popular deep learning models in R
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Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark
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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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Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development
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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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QlikView for Developers. Design and build scalable and maintainable BI solutions
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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 OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Inteligentna sieć. Algorytmy przyszłości. Wydanie II
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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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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