Explore the power of MLlib, DL4j, Weka, and more
About This Video
This video provides modern solutions in small steps to help an apprentice cook become a master chef in data science
Fast paced tutorial to handle big data and perform visualization techniques to learn deeply from the data
Learn how to get your data science applications to production and enterprise environments effortlessly
If you are looking to build data science models that are good for production, Java has come to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can efficiently perform all the data science tasks you need to. This course will help you to learn how you can retrieve data from data sources with different level of complexities. You will learn how you could handle big data to extract meaningful insights from data. Later we will dive to visualizing data to uncover trends and hidden relationships. Finally, we will work through unique videos that solve your problems while taking data science to production, writing distributed data science applications, and much more—things that will come in handy at work.