Guy Kawasaki, Peg Fitzpatrick - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
-
Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
-
R Deep Learning Projects. Master the techniques to design and develop neural network models in R
-
Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
-
Bitcoin dla zaawansowanych. Programowanie z użyciem otwartego łańcucha bloków. Wydanie II
-
Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale
-
Jira Software Essentials. Plan, track, and release great applications with Jira Software - Second Edition
-
MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
-
Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
-
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
-
Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
-
Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
-
Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
-
SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
-
TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
-
Podstawy zarządzania projektami
-
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
-
Mastering Microsoft Dynamics CRM 2016. An advanced guide for effective Dynamics CRM customization and development
-
Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
-
R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
-
Site Reliability Engineering. Jak Google zarządza systemami producyjnymi
-
Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
-
Prawo dla twórców internetowych
-
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
-
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
-
MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
-
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
-
Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
-
Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
-
Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
-
MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
-
Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
-
Learning TensorFlow. A Guide to Building Deep Learning Systems
-
R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
-
Deep Learning with Theano. Perform large-scale numerical and scientific computations efficiently
-
Deep Learning. A Practitioner's Approach
-
Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
-
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
-
Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
-
Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
-
Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
-
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
-
Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
-
Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
-
70 sposobów na rozkochanie KLIENTA... w Twoim e-biznesie
-
Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
-
Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
-
Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
-
Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
-
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
-
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
-
Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
-
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
-
Szef, który ma czas. Ewolucja zarządzania - dziennik budowy turkusowej firmy
-
Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
-
Biblia copywritingu
-
Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
-
Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
-
Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
-
Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
-
Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
-
Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
-
Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
-
Pięciodniowy sprint. Rozwiązywanie trudnych problemów i testowanie pomysłów
-
Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
-
Mastering Text Mining with R. Extract and recognize your text data
-
Apache Spark for Data Science Cookbook. Solve real-world analytical problems
-
Efficient R Programming. A Practical Guide to Smarter Programming
-
Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
-
Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
-
Jak zarabiać na blogu i pozostać sobą
-
R: Unleash Machine Learning Techniques. Smarter data analytics
-
Biblia e-biznesu 2. Nowy Testament
-
Hadoop Blueprints. Click here to enter text
-
Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
-
Gdy góra lodowa topnieje. Wprowadzanie zmian w każdych okolicznościach
-
Naczelny Algorytm. Jak jego odkrycie zmieni nasz świat
-
Hadoop: Data Processing and Modelling. Data Processing and Modelling
-
Mastering Predictive Analytics with Python. Click here to enter text
-
Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
-
Android High Performance Programming. Click here to enter text
-
Org Design for Design Orgs. Building and Managing In-House Design Teams
-
Procesy biznesowe w praktyce. Projektowanie, testowanie i optymalizacja. Wydanie II
-
Informatyka 2 przyszłości. 30 lat Informatyki na Wydziale Zarządzania UW
-
Simulation for Data Science with R. Effective Data-driven Decision Making
-
Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
-
R: Data Analysis and Visualization. Click here to enter text
-
Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world
-
Text Mining: metody, narzędzia i zastosowania. Wykorzystanie SAS Text Analytics
-
Python: Real-World Data Science. Real-World Data Science
-
Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
-
Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations
-
Projekt Feniks. Powieść o IT, modelu DevOps i o tym, jak pomóc firmie w odniesieniu sukcesu
-
Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition
-
R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
-
Zarządzanie 3.0. Kierowanie zespołami z wykorzystaniem metodyk Agile
-
Learning Responsive Data Visualization. Create stunning data visualizations that look awesome on every device and screen resolutions
-
Site Reliability Engineering. How Google Runs Production Systems
-
Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time
-
Advanced Oracle PL/SQL Developer's Guide. Master the advanced concepts of PL/SQL for professional-level certification and learn the new capabilities of Oracle Database 12c - Second Edition
-
Serwisy społecznościowe. Budowa, administracja i moderacja
-
Learning Hunk. A quick, practical guide to rapidly visualizing and analyzing your Hadoop data using Hunk
-
Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
-
AdWords 360°. Katalog skutecznych kampanii
-
Python Data Visualization Cookbook. Visualize data using Python's most popular libraries
-
Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
-
Learning Couchbase. Design documents and implement real world e-commerce applications with Couchbase
-
Jak cię widzą, tak cię piszą. Sztuka autopromocji w mediach społecznościowych
-
Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding
-
Mastering Bitcoin. Programming the Open Blockchain. 2nd Edition
-
Poznajemy Sparka. Błyskawiczna analiza danych