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