AI-1:

AI 1: ML/AI Basics

This module will introduce you to basic machine learning models such as linear, multi-linear regression, Ridge and Lasso regressions, logistic regression and feed forward neural networks. At the end of this module, you will be able to fit these models, and evaluate their performance.

  • Know This First or equivalent
  • kNN Regression and Linear Regression
  • Multi-Regression, ┬áPoly-Regression, Model Selection using Train/Validation and Cross Validation
  • Inference in Linear Regression
  • Regularization: Ridge & Lasso Regressions
  • Logistic Regression, Loss Function for Logistic Regression, Multi+Poly Logistic Regression and Decisions Boundaries
  • Regularization for Logistic Regression, Multi-class Logistic Regression, Metrics and Data Imbalance, ROC curves, Precision, and Recall
  • Neural Networks 1 - Perceptron and MLP, Anatomy of Neural Networks and Design Choices
  • Neural Networks 2 - Fitting Neural Networks
  • Case study of a real problem - beginning to end

The objective of this module is to get you working with the basic concepts of ML and AI, in the context of kNN, linear regression, logistic regression, and multi-layer perceptron models and learn how to use scikit-learn and Keras to fit both regression and classification models. Along the way, you will operationalize the key concepts of machine learning: picking the right complexity, preventing over-fitting, and regularization.

Prerequisites

Topics

Learning Objectives

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Schedule

Students

Summer Cohort

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Conducted alongside elective

Winter Cohort

Intake 1:

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Conducted along with elective

Intake 2:

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Conducted along with elective

Working Professionals

Summer Cohort

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective

Fall Cohort

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective

Winter Cohort

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Conducted along with elective