Introduction to Machine Learning

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Related lectures (56)

Introduction to C Programming Log in to Mediaspace to watch this video

Introduces fundamental C programming concepts, covering variables, control structures, functions, and pointers, with practical examples and exercises.

Untitled Log in to Mediaspace to watch this video

Structures and Mechanisms: Opening a Box Log in to Mediaspace to watch this video

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Boltzmann Machine Log in to Mediaspace to watch this video

Covers the Boltzmann Machine, a type of stochastic recurrent neural network.

Deep Learning: Principles and Applications Log in to Mediaspace to watch this video

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.

Numerical Methods: Bisection and Multidimensional Arrays Log in to Mediaspace to watch this video

Discusses the bisection method for solving nonlinear equations and its implementation using Python with NumPy and Matplotlib.

Polynomial Regression and Gradient Descent Log in to Mediaspace to watch this video

Covers polynomial regression, gradient descent, overfitting, underfitting, regularization, and feature scaling in optimization algorithms.

Latent Semantic Indexing: Concepts and Applications Log in to Mediaspace to watch this video

Explores Latent Semantic Indexing, a technique for mapping documents into a concept space for retrieval and classification.

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.

Fast and Effective Analytics for Big Data: Multi-Dimensional Insights Log in to Mediaspace to watch this video

Explores challenges and solutions in analyzing big multi-dimensional data, focusing on complex data types and anomaly detection.

Neural Networks Recap: Activation Functions Log in to Mediaspace to watch this video

Covers the basics of neural networks, activation functions, training, image processing, CNNs, regularization, and dimensionality reduction methods.

Critical Data Studies: Introduction and Models Log in to Mediaspace to watch this video

Introduces the Critical Data Studies course, covering data models, trust, reproducibility, biases, and ethics.

Statistics for Civil Engineering Log in to Mediaspace to watch this video

Covers the fundamentals of statistics, exploring probabilistic models, variability, uncertainty, and data collection.

Model Evaluation Log in to Mediaspace to watch this video

Explores underfitting, overfitting, hyperparameters, bias-variance trade-off, and model evaluation in machine learning.

Introduction to MATLAB Tools and Installation Log in to Mediaspace to watch this video

Covers the introduction to MATLAB tools and provides installation instructions for Thermodynamics-based Flux Analysis, including pre-requirements like GIT and CPLEX.

Deep Learning: Multilayer Perceptron and Training Log in to Mediaspace to watch this video

Covers deep learning fundamentals, focusing on multilayer perceptrons and their training processes.

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