Introduction to Machine LearningMachine learning is making the machine learn from the data. This is similar to how human learns. To derive the analogy, let's consider an example. If you wish to learn to make shahi paneer, you go to your mom and ask her to demonstrate the recipe as well as browse the internet for a good recipe. You follow her and next time when your friends turn up you decide to cook shahi paneer for them. Similarly, when you want your computer to do something, instead of writing the program you just provide an example data of how to accomplish the task. The computer processes the data and figures out the way to do it.
Today machine learning has accomplished a lot and is being put to use in almost every field be it science, finance, marketing, social media. Every company is utilizing machine learning in one or the other way. Machine learning industry is booming. There are ample number of opportunities in this field.
The outstanding examples of this area includes Google's Deepmind, Google's self driving cars, IBM Watson, Siri etc.
Machine learning course contents
- What is ML?
- The Machine Learning process: overview
- Data visualisation using R
- Supervised and unsupervised learning
- Training and testing Data
- Cross validation: validating your Model
- The concept of Overfitting and underfitting
- Linear classifier
- Support vector machines introduction
- Support vector machines in Detail.
- Neural Networks introduction.
- Case study: Classifying real data using SVM and neural networks in R.
Course expectationsBy the end of the course you will be able to successfully apply the different machine learning algorithms on your dataset and evaluate the performance of different models.You will also be able interpret the results and draw appropriate inferences. You will also be able to understand the application of different models and identify what model should be used in which situation.
Course durationThe course is expected to be completed in 2 to 3 months.
The fee for the course is 15k INR.