Learn machine learning and implement practical algorithms using R programming
About This Video
Machine learning is here and it is changing the way businesses work! From the Netflix recommendation engine to Google's self-driving car, it's all machine learning. Machine learning explores the development and use of algorithms that can gain from data. ML Algorithms provide the ability to learn at an accelerated pace as more and more datasets are available for training. It is very similar to how the human mind learns. In this course, you will also learn about machine learning and deep learning and will see how R can be used as a tool (to show output) and also in your ML projects. The course also covers packages that implement machine learning with TensorFlow and H2O. TensorFlow is a Python package that is implemented in R as well. The course also covers artificial neural networks. Here you get to learn how to create our own neural networks and implement them in R. Last but not least, the sixth module is Decision Tree and Text mining, a well know pattern involved in data science, again a new concept in machine learning. All the modules throw light on how machine learning implementation is easy and simple using R. So what are you waiting for? Begin your epic journey to being an awesome ML programmer with this applied R course.
All the code and supporting files for this course are available at: https://github.com/PacktPublishing/Applied-Machine-Learning-With-R
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