Singular Value Decomposition
Comprehensive exploration of Singular Value Decomposition, covering mathematical foundations, applications in data processing, and implementation in MATLAB and Python for various real-world scenarios.
Correlation
Explore correlation concepts, from Pearson's coefficient to advanced topics like partial and rank correlations. Learn geometrical interpretations, multiple regression, and practical applications using R.
Microsoft Excel
Master Excel essentials: data handling, formatting, graphing, and problem-solving tools. Learn through practical examples and case studies to enhance your spreadsheet skills for various applications.
Data-Driven Science and Engineering
Explora técnicas avanzadas de aprendizaje automático, sistemas dinámicos y control con ejemplos prácticos en Matlab y Python, basados en el libro "Data-Driven Science and Engineering" de Brunton y Kutz.
Biostatistics Using R Course
Learn biostatistics with R: from basics to advanced topics like probability, inferential statistics, mixed modeling, and regression analysis. Gain practical skills for data analysis in biological sciences.
Lessons Learned from Using Generative AI as a Role-playing Tool in Data Science Education - April 2024
Exploring Generative AI for personalized learning in Data Science education, focusing on interactive Q&A sessions and AI-generated quizzes to enhance understanding of concepts like Linear Regression.
Machine Learning
Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.
Linear Regression and Linear Models
Learn powerful statistical tools: linear regression and models. Predict continuous values using various data types. Covers least squares, multiple regression, t-tests, ANOVA, and R implementation.
Statistics and Machine Learning in R
If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.
Linear Regression Analysis and Forecasting
The accuracy of forecasting depends upon the goodness of obtained model. What are the steps and checks required to obtain a good model and in turn, how to do forecasting is being aimed to be taught in this course.
Engineering Econometrics
This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real-life cases to know the relevance of a particular problem and the decision-making thereof.
Statistics
Learn advanced statistical techniques including regression analysis, ANOVA, and model selection. Master key concepts like variance inflation, F-tests, and information criteria for robust data analysis.
Advanced Data Mining with Weka
Explore advanced data mining techniques using Weka, covering time series forecasting, incremental learning, integration with R and Python, and distributed processing for big data analysis.
Using Algorithms to Understand Transformers and Using Transformers to Understand Algorithms
Explore algorithmic tools and optimization theory to uncover Transformer mechanisms for computational tasks, and discover how Transformers design data structures for tasks like nearest neighbor search.
Two Stories in Mechanistic Interpretation of Natural and Artificial Neural Computation
Explore two stories in mechanistic interpretation of neural computation, covering in-context learning in Transformers and insights into linear regression tasks using linear attention models.
Seaborn Python Tutorial
Learn data visualization with Seaborn: create scatter plots, line charts, and distribution plots. Master regression models, FacetGrid, and color palettes for effective data analysis and presentation.
Orthogonality
Explora conjuntos ortogonales, proyecciones, desigualdad de Cauchy-Schwarz, proceso de Gram-Schmidt, descomposición QR, regresión lineal, espacios de producto interno, polinomios de Legendre y series de Fourier.
Linear Regression Machine Learning - Linear Regression in R and Python
This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression. You will also learn how to implement linear regression in both R language and Python language
Artificial Intelligence Full Course in Python - Artificial Intelligence Tutorial
This tutorial covers AI and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.
Linear Regression in Machine Learning - Linear Regression Algorithm
This video teaches Linear Regression and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.
Regression Analysis - Regression Coefficients - Machine Learning for Beginners
In this tutorial, we have covered all the important topics such as, What is Linear regression, How it works, What are its advantages, and much more that will help you to understand this concept with ease.