Tänne kootaan linkit aikaisemman original version moduuleiden kadonneista sisällöistä.

  • Sisällöt haettu repon aikaisemmasta versiosta, joka oli commitoitu 2021-05-11.


AI and ML Overview

Original version

AI and ML Overview

  • What is data science?
  • What is artificial intelligence
  • What is machine learning?
  • Most common types of machine learning
  • Industries affected by artificial intelligence
  • Classification
  • Regression
  • Parametric and Non-Parametric Learning


Data Science Ecosystem

Original version

Data Science Ecosystem

  • Notable Python Libraries
  • Reading data with Pandas
  • Filtering data with pandas
  • Grouping and combining data with Pandas
  • Plot data with Pandas
  • Training and testing split
  • One-Hot Encoding
  • Standard Scaling
  • Titanic


Supervised Learning

Original version

Supervised Learning

  • Performance Measures for Classification
  • Lost and cost functions
  • Optimization (SGD) and Regularization
  • Cross validation
  • Grid Search
  • Learning Curve
  • Polynomial Features
  • Bias, Variance and Overfitting
  • Pipeline
  • Comparing Estimators


Unsupervised Learning

Original version

Unsupervised Learning

  • What is Unsupervised Learning?
  • Clustering using k-Means
  • Dimensionality Reduction (PCA)


Neural Networks and Deep Learning

Original version

Neural Networks and Deep Learning

  • Types of Artificial Neutral Networks
  • Perceptron
  • Multi-Layer Networks and Backpropagation
  • TensorFlow
  • Convolutional Neural Networks
  • Transfer Learning