SLIDE 1 What is SVM? “Support Vector Machine” (SVM) is a supervised machine learning algorithm which can be used for both classification or regression challenges. However, it is mostly used in classification problems. SLIDE 2 how does it work ? Identify the right hyper-plane (Scenario-1): SLIDE3: Identify the right hyper-plane (Scenario-2): SLIDE4: Here, maximizing the distances between nearest data point (either class) and hyper-plane will help us to decide the right hyper-plane. This distance is called as Margin SLIDE5: Identify the right hyper-plane (Scenario-3): SLIDE6: Find the hyper-plane to segregate to classes SLIDE Cost function and Gradient Function In the SVM algorithm, we are looking to maximize the margin between the data points and the hyperplane. The loss function that helps maximize the margin is hinge loss. SLIDE Regularization The objective of the regularization parameter is to balance the margin maximizat...
The acronym SQL stands for Structured Query Language SQL is the standard language for data manipulation SQL is the standard language for relational database management. Three Main Uses of SQL are : Read ,Write , Update SQL is used for many things; however, Data Retrieval was stressed as THE MAIN THING used by Data Scientist Data Scientist might do a little of the analysis using SQL, however the main thing they're using SQL for is data retrieval. Learning Objective: Explain why thinking before coding is important Explain why it is important to understand how data in a database is relate to each other Describe what a database is Think before you do: What is the problem you are trying to do..? What I mean by this is it's easy when you're doing work or we're trying to produce a result or solve a problem to just go in and start doing. By that I mean you go in and start to write code or maybe start to write some type of emai...
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. basically Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Currently, machine learning has been used in multiple fields and industries. For example , medical diagnosis, image processing, prediction, classification, regression etc Slide 2: Machine Learning is categories in 3 parts Supervised Learning Unsupervised Learning Reinforecement Learning Slide 3: Supervised learning is where you have input variables (x) and an output variable (Y) and you use an algorithm to learn the mapping function from the input to the output. Y = f(X) The goal is to approximate the mapping function so well that when you have new input data (x) that you can predict the output variable...
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