Machine Learning with R and Python
Course Duration: 4months – 7months
Machine learning is the aspect that studies various mathematical models and algorithms which is used by a computer system to enhance their functionality at certain tasks. MI algorithms are used in various applications like computer vision, speech recognition, email filtering etc. There are various programming languages which are used to implement machine learning and the most common languages for MI are R and python. Both of them are popular programming languages. While R has strong data visualisation capabilities and python is simple and easy to understand and implement.
R and Python both of the languages are progressively used by the users. Both of the languages have certain pros and cons. Like R is difficult to understand and it has the steepest learning curve. It is a low level language but python is known for its simplicity. The availability of both the languages is free of cost and anyone can access them. There is a good job scope in both of the languages. They both are good for start ups. Python has some good visualisation libraries like Bokeh interactive visualisation library, pygal, seaborn and R also has some machine learning libraries. But python is much more required by the companies for machine learning. The reason for this is that the python is a general purpose programming language and it also has a larger number community. For deep learning, python has more cutting edge libraries which are currently not available in R.
None
Who Should Attend
-
Aspirants who have great interest in mathematical models , algorithm and Artificial intelligence.
-
Students, technologists, professionals and others who will be dealing with computer vision, speech recognition and email filtering.
Machine learning with Scala
Course Duration: 4months – 7months
Machine learning is the application of artificial intelligence and it provides system the ability to automatically improve and learn from experience without being explicitly programmed. ML focuses on the development of the computer program that can access data and then use it to learn for themselves. There are various programming languages which can be used to implement machine learning like java, python, sql ,Scala etc. Unlike others Scala is also considered a good programming language. Scala is a general purpose programming language and it combines the concept of functional and object oriented programming languages.
The main reason to learn Scala for the machine learning is Spark. Some people believe that Scala is not so good to perform tasks whereas other programming languages are good because of its slow speed but there is nothing good or bad in any programming language. We can make it good or bad according to our requirements. Like other languages, Scala also has some good qualities. It is very easy to pick up. The background of Scala is object oriented with java which makes this language easier to pick up. There is no need to write long codes in Scala language and in Scala we can run a program with less number of codes. It also has a good IDE support. In terms of Data analysis, Scala is a good choice. It also reduces the thread safety concern and provides you an assurance of fewer bugs. So, like all the other leading programming languages you can use scala for machine learning.
This course is aimed for both who have and do not have any prior knowledge of Machine Learning with Scala. It is beginner to advanced course to familiarize you with Machine Learning with Scala.
Who Should Attend
-
One who wants to work on Artificial Intelligence and wants to provide system the ability to automatically improve and learn from experience without being explicitly programmed.
-
Researchers , professors , graduates and many others who wants to work on functional and object oriented programming languages together for Machine Learning .
