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Course Outline
Implementing Machine Learning Algorithms with Julia
Foundational Concepts
- Supervised and unsupervised learning
- Cross-validation and model selection techniques
- The bias-variance tradeoff
Linear and Logistic Regression
(Including NaiveBayes and GLM approaches)
- Foundational concepts
- Fitting linear regression models
- Model diagnostics
- Naive Bayes implementation
- Fitting a logistic regression model
- Model diagnostics
- Model selection methods
Distance Metrics
- Understanding distance metrics
- Euclidean distance
- Cityblock (Manhattan) distance
- Cosine similarity
- Correlation distance
- Mahalanobis distance
- Hamming distance
- Mean Absolute Deviation (MAD)
- Root Mean Square (RMS)
- Mean Squared Deviation
Dimensionality Reduction
-
Principal Component Analysis (PCA)
- Linear PCA
- Kernel PCA
- Probabilistic PCA
- Independent Component Analysis (ICA)
- Multidimensional Scaling
Modified Regression Techniques
- Core principles of regularization
- Ridge regression
- Lasso regression
- Principal Component Regression (PCR)
Clustering Techniques
- K-means clustering
- K-medoids clustering
- DBSCAN
- Hierarchical clustering
- Markov Cluster Algorithm
- Fuzzy C-means clustering
Core Machine Learning Models
(Utilizing NearestNeighbors, DecisionTree, LightGBM, XGBoost, EvoTrees, and LIBSVM packages)
- Gradient boosting principles
- K-Nearest Neighbors (KNN)
- Decision tree models
- Random forest models
- XGBoost
- EvoTrees
- Support Vector Machines (SVM)
Artificial Neural Networks
(Utilizing the Flux package)
- Stochastic gradient descent and associated strategies
- Multilayer perceptrons: forward pass and backpropagation
- Regularization techniques
- Recurrent Neural Networks (RNN)
- Convolutional Neural Networks (ConvNets)
- Autoencoders
- Hyperparameter tuning
Requirements
This course targets individuals who already have a background in data science and statistics.
21 Hours
Testimonials (2)
I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped
Nola - Laramie County Community College
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