Andrew Morgan, Antoine Amend, Matthew Hallett, David George - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Making Data Visual. A Practical Guide to Using Visualization for Insight
-
SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
-
Mistrzowskie prezentacje. Slajdowy poradnik mówcy doskonałego. Wydanie 2
-
SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
-
Ciągłe dostarczanie oprogramowania. Kompletny przewodnik
-
Podstawy zarządzania projektami
-
Język R. Kompletny zestaw narzędzi dla analityków danych
-
Learning PostgreSQL 10. A beginner’s guide to building high-performance PostgreSQL database solutions - Second Edition
-
Microsoft Excel 2016 Analiza i modelowanie danych biznesowych
-
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
-
Learning Apache Apex. Real-time streaming applications with Apex
-
R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
-
Mastering Microsoft Dynamics CRM 2016. An advanced guide for effective Dynamics CRM customization and development
-
Python. Uczenie maszynowe
-
Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
-
R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
-
Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
-
Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
-
Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
-
scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition
-
Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
-
Site Reliability Engineering. Jak Google zarządza systemami producyjnymi
-
Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
-
Continuous Integration, Delivery, and Deployment. Reliable and faster software releases with automating builds, tests, and deployment
-
Dane i Goliat. Ukryta bitwa o Twoje dane i kontrolę nad światem
-
Prawo dla twórców internetowych
-
Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
-
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
-
Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
-
Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
-
Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
-
DevOps. Światowej klasy zwinność, niezawodność i bezpieczeństwo w Twojej organizacji
-
Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
-
Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
-
Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition
-
MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
-
Zaawansowane uczenie maszynowe z językiem Python
-
Modern R Programming Cookbook. Recipes to simplify your statistical applications
-
Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
-
Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
-
Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
-
Neural Networks with R. Build smart systems by implementing popular deep learning models in R
-
Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT
-
Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
-
Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark
-
Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
-
Mistrz analizy danych. Od danych do wiedzy
-
Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
-
Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools
-
Network Security Through Data Analysis. From Data to Action. 2nd Edition
-
Raportowanie w System Center Configuration Manager Bez tajemnic
-
Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
-
MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
-
Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
-
Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
-
Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
-
SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
-
Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
-
Learning TensorFlow. A Guide to Building Deep Learning Systems
-
Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
-
Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
-
Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
-
Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
-
Deep Learning. A Practitioner's Approach
-
Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
-
Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
-
Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
-
Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices
-
Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
-
Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
-
Marketing w 3 Tygodnie - 21 kluczowych zasad marketingu
-
Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development
-
Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
-
Dostosuj się lub giń. Jak odnieść sukces w branży aplikacji mobilnych
-
Machine Learning for OpenCV. Intelligent image processing with Python
-
Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
-
Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
-
Java: Data Science Made Easy. Data collection, processing, analysis, and more
-
Szybkie projektowanie. Zapanuj nad chaosem zadań i presją czasu
-
Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
-
Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
-
Learning pandas. High performance data manipulation and analysis using Python - Second Edition
-
Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
-
QlikView for Developers. Design and build scalable and maintainable BI solutions
-
Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
-
R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
-
"Theory and Practice of Second Language Acquisition" 2016. Vol. 2 (2)
-
Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
-
Data Science i uczenie maszynowe
-
Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
-
Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
-
Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
-
Python Machine Learning By Example. The easiest way to get into machine learning
-
Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
-
Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
-
70 sposobów na rozkochanie KLIENTA... w Twoim e-biznesie
-
Mastering Android Game Development with Unity. Build high-end Android games with Unity's advanced features
-
Python. Podstawy nauki o danych. Wydanie II
-
Projektowanie metod dydaktycznych. Efektywne strategie edukacyjne. Wydanie II
-
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
-
Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
-
Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
-
Inteligentna sieć. Algorytmy przyszłości. Wydanie II
-
Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
-
Mastering Java for Data Science. Analytics and more for production-ready applications
-
Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
-
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
-
Getting Things Done, czyli sztuka bezstresowej efektywności. Wydanie II (Wydanie ekskluzywne + Audiobook mp3)
-
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
-
Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
-
Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
-
Zarządzanie treścią. Strategie i narzędzia
-
Mastering Spark for Data Science. Lightning fast and scalable data science solutions
-
Pi razy drzwi czyli dziwne przypadki matematyki
-
Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding
-
Python for Data Analysis. Data Wrangling with Pandas, NumPy, and IPython. 2nd Edition
-
Mastering Bitcoin. Programming the Open Blockchain. 2nd Edition
