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• 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