A complete course to help you learn all the relevant aspects of data mining using R
About This Video
Use powerful R libraries to effectively get the most out of your data
Gain a good level of knowledge and an understanding of the data mining disciplines to solve real-world challenges in R
This hands-on tutorial covers topics in three dimensions: the mathematical foundations, the actual implementation in R, and practical examples
Data mining is a growing demand on the market as the world is generating data at an increasing pace. R is a popular programming language for statistics. It can be used for day-to-day data analysis tasks.
Data mining is a very broad topic and takes some time to learn. This course will help you to understand the mathematical basics quickly, and then you can directly apply what you’ve learned in R. This course covers each and every aspect of data mining in order to prepare you for real-world problems. You'll come to understand the different disciplines in data mining. In every discipline, there exist a variety of different algorithms. At least one algorithm of the various classes of algorithms will be covered to give you a foundation to further apply your knowledge to dive deeper into the different flavors of algorithms.
After completing this course, you will be able to solve real-world data mining problems.
Introduction to Neural Networks and Deep Learning 06m 09s
Using the H2O Deep Learning Framework 02m 28s
Real-time Cloud Based IoT Sensor Data Analysis 06m 17s
Learning Data Mining with R
2 hours 16 minutes
Romeo Kienzler is a Chief Data Scientist at the IBM Watson IoT Division. In his role, he is involved in international data mining and data science projects to ensure that clients get the most out of their data. He works as an Associate Professor for data mining at a Swiss University and his current research focus is on cloud-scale data mining using open source technologies including R, ApacheSpark, SystemML, ApacheFlink, and DeepLearning4J. He also contributes to various open source projects. Additionally, he is currently writing a chapter on Hyperledger for a book on Blockchain technologies.