Machine Learning with Python
Course Duration: 4months – 7months
Machine learning is a type of Artificial intelligence that allows software applications to learn from the data and become more accurate in predicting outcomes without human invention. In MI, we create systems of programs that learn how to behave when exposed to a new data set. It allows machine learning to detect patterns in data set and create models out of it and later on you can adjust that model according to your needs and enhance the accuracy of the model. It can be used in various other domains such as in analysis, weather forecasting and many more. We have different programming languages nowadays but python is the most popular language for machine learning.
In layman terms, machine learning is used to make a machine to take intelligent decisions. Python is a simple language and it is easy to understand. Sometimes the concepts of calculus, linear algebra are so complex and it takes a lot of time and efforts to solve it. A quick implementation of python makes easy for machine learning engineers to solve the complex algorithms. Python has easy syntax and it also contains special libraries for machine learning commonly known as scipy and numpy which are great for linear algebra. In fact if you are a beginner than python is the best language for you to start with. It is elegant, math like and consistent too. Python has a particular correlation to many mathematical ideas, so it also reduces time of the programmer.
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Who Should Attend
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Graduates , students and others who really want to make their career in the field of Artificial Intelligence .
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One willing to develop machine and systems that can learn and apply knowledge without any specific direction.
Machine Learning with R
Course Duration: 4months – 7months
Machine learning is the algorithm category with which the software applications are capable in gaining more accuracy in accessing various outcomes without having the need to being programmed explicitly. Machine learning is centred around developing algorithms that have the capability to utilize statistical analysis and receive input data for predicting outputs while updating them when there is accessibility of the new data. R is a language, a platform and an interpreter. Familiarity with the software such as R allows the user to visualise the data and to apply machine learning algorithms.
R is a major language in data science. It is a turing complete language i.e. it can perform any computation which a turing machine can and thus users can perform tasks such as statistical analysis and also implementing machine learning algorithms. It also provides both object oriented and functional programming. The best thing about R is that it is a free open source software and hence there is no licence for restrictions at all. It provides outstanding features of visualisation, which is essential to explore the data before submitting it to any automated learning. There are many R packages which are available for machine learning and many modern methods in statistical learning are implemented in R. It becomes more important when we think about the techniques it provides. It offers all the techniques that you think of for data analysis, visualization, model evaluation, sampling and supervised learning.
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Who Should Attend
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Professionals/students/graduates and many others who will be dealing with Artificial intelligence because the goal of machine learning is artificial intelligence.
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This course is aimed to perform those who have and do not have any prior knowledge of machine learning.
