TileStats

@UCZQqrFW2VkirBF2a-aV1Fdw - 33.8K subscribers

Hi My name is Andreas Tilevik. With this channel, I thought that I could share my video lectures from my courses in statistics and systems biology at the University of Skövde, Sweden. Note that the target group is mainly with a non-mathematical background. The videos will be published in a logical order at: www.tilestats.com

Home Videos Live Playlists

Learn Python from Scratch for Data Analysis & Machine Learning – linear regression and t-test

Learn Python from Scratch for Data Analysis & Machine Learning – linear regression and t-test TileStats

697 views - 1 week ago

Monte Carlo simulations in R

Monte Carlo simulations in R TileStats

408 views - 1 month ago

Missing Data Imputation: Mean, Median & KNN Explained

Missing Data Imputation: Mean, Median & KNN Explained TileStats

631 views - 1 month ago

The diffusion model (DDPM) – the basics | Generative AI

The diffusion model (DDPM) – the basics | Generative AI TileStats

845 views - 1 month ago

PCA and SVD - the math explained simply

PCA and SVD - the math explained simply TileStats

1.5K views - 3 months ago

kNN and SNN graphs, and Louvain clustering | How Seurat cluster single cells

kNN and SNN graphs, and Louvain clustering | How Seurat cluster single cells TileStats

742 views - 4 months ago

UMAP explained simply

UMAP explained simply TileStats

2.3K views - 5 months ago

t-SNE explained: Visualizing High-Dimensional Data

t-SNE explained: Visualizing High-Dimensional Data TileStats

1.9K views - 6 months ago

Attention Neural Networks: Boosting CNNs with SE and CBAM Attention

Attention Neural Networks: Boosting CNNs with SE and CBAM Attention TileStats

2K views - 7 months ago

Transformer Networks Explained: How ChatGPT Works

Transformer Networks Explained: How ChatGPT Works TileStats

2.4K views - 8 months ago

U-Net clearly explained | Image Segmentation with AI

U-Net clearly explained | Image Segmentation with AI TileStats

22.6K views - 9 months ago

Transfer learning - explained (VGG16, MobileNet, ResNet, EfficientNet)

Transfer learning - explained (VGG16, MobileNet, ResNet, EfficientNet) TileStats

8.2K views - 10 months ago

Regression Trees and the complexity parameter

Regression Trees and the complexity parameter TileStats

996 views - 1 year ago

An introduction to R and RStudio - for beginners

An introduction to R and RStudio - for beginners TileStats

783 views - 1 year ago

A Beginner's Guide to Artificial Neural Networks in Python with Keras and TensorFlow

A Beginner's Guide to Artificial Neural Networks in Python with Keras and TensorFlow TileStats

4.6K views - 1 year ago

Deep learning - explained simply | Early Stopping & Dropout

Deep learning - explained simply | Early Stopping & Dropout TileStats

3.1K views - 1 year ago

How do AI and neural networks work?

How do AI and neural networks work? TileStats

7.8K views - 1 year ago

Convolutional Neural Network (CNN) – explained simply

Convolutional Neural Network (CNN) – explained simply TileStats

7.1K views - 1 year ago

Autoencoders - simply explained

Autoencoders - simply explained TileStats

5.2K views - 1 year ago

PCA vs PCoA (Multidimensional scaling) - explained

PCA vs PCoA (Multidimensional scaling) - explained TileStats

5K views - 1 year ago

SPSS for beginners in 22 minutes - enter data, plot and t-test

SPSS for beginners in 22 minutes - enter data, plot and t-test TileStats

482 views - 1 year ago

Recurrent neural network (RNN) - explained super simple

Recurrent neural network (RNN) - explained super simple TileStats

11.7K views - 1 year ago

Stochastic gradient descent (SGD) vs mini-batch GD | iterations vs epochs - Explained

Stochastic gradient descent (SGD) vs mini-batch GD | iterations vs epochs - Explained TileStats

5.4K views - 1 year ago

How to compute a p value and extract a critical value in R

How to compute a p value and extract a critical value in R TileStats

1.6K views - 1 year ago

Multinomial logistic regression | softmax regression | explained

Multinomial logistic regression | softmax regression | explained TileStats

23.1K views - 1 year ago

Why we divide by n-1 when calculating the sample variance – the proof | unbiased estimator

Why we divide by n-1 when calculating the sample variance – the proof | unbiased estimator TileStats

3.6K views - 1 year ago

Expected value vs mean

Expected value vs mean TileStats

3.2K views - 2 years ago

Bootstrap confidence intervals - explained

Bootstrap confidence intervals - explained TileStats

7.1K views - 2 years ago

How to identify and deal with outliers | The 1.5 IQR rule | Boxplots

How to identify and deal with outliers | The 1.5 IQR rule | Boxplots TileStats

1.9K views - 2 years ago

Bayesian statistics - the basics

Bayesian statistics - the basics TileStats

4.6K views - 2 years ago

How to check normal distribution | The normality assumption

How to check normal distribution | The normality assumption TileStats

4K views - 2 years ago

PERMANOVA and permutation tests - explained

PERMANOVA and permutation tests - explained TileStats

11K views - 2 years ago

Statistical power - Parametric vs Nonparametric test

Statistical power - Parametric vs Nonparametric test TileStats

1.8K views - 2 years ago

Meta-analysis | The inverse variance method | Forest plot in R

Meta-analysis | The inverse variance method | Forest plot in R TileStats

3.3K views - 2 years ago

The Mantel-Haenszel method - clearly explained | deal with confounding

The Mantel-Haenszel method - clearly explained | deal with confounding TileStats

10.4K views - 2 years ago

Understanding the odds ratio (OR) and the rare disease assumption | OR = RR?

Understanding the odds ratio (OR) and the rare disease assumption | OR = RR? TileStats

2K views - 2 years ago

Relative risk - how to calculate and interpret | 95% CI

Relative risk - how to calculate and interpret | 95% CI TileStats

6.7K views - 2 years ago

Odds vs Probability - explained

Odds vs Probability - explained TileStats

3K views - 2 years ago

The SIR model | the math of epidemics - explained with a simple example

The SIR model | the math of epidemics - explained with a simple example TileStats

3K views - 2 years ago

Receptor ligand kinetics | mathematical modeling

Receptor ligand kinetics | mathematical modeling TileStats

1.7K views - 2 years ago

How to build a system of differential equations (ODEs)

How to build a system of differential equations (ODEs) TileStats

1.6K views - 2 years ago

How to select a multivariate analysis or machine learning method

How to select a multivariate analysis or machine learning method TileStats

7K views - 2 years ago

How to solve ordinary differential equations (ODEs) in R (deSolve)

How to solve ordinary differential equations (ODEs) in R (deSolve) TileStats

3.2K views - 2 years ago

Euler's method | Numerial methods

Euler's method | Numerial methods TileStats

1.1K views - 2 years ago

Understanding ordinary differential equations (ODE) - super simple example

Understanding ordinary differential equations (ODE) - super simple example TileStats

1.2K views - 2 years ago

The Cox proportional hazards model explained

The Cox proportional hazards model explained TileStats

36.1K views - 2 years ago

Comparing Kaplan-Meier curves - the Log-rank test

Comparing Kaplan-Meier curves - the Log-rank test TileStats

8K views - 2 years ago

Kaplan Meier curve – explained

Kaplan Meier curve – explained TileStats

17.5K views - 2 years ago

Nonlinear mixed effects models (NLME) - explained

Nonlinear mixed effects models (NLME) - explained TileStats

11.3K views - 2 years ago

Nonlinear regression - how to fit a logistic growth model to data

Nonlinear regression - how to fit a logistic growth model to data TileStats

3.3K views - 2 years ago

Nonlinear regression - how to fit a dose-response curve in R

Nonlinear regression - how to fit a dose-response curve in R TileStats

5.9K views - 2 years ago

Nonlinear regression - comparing models with F test and AIC | parameter correlation

Nonlinear regression - comparing models with F test and AIC | parameter correlation TileStats

3.9K views - 2 years ago

The Gauss Newton Method - explained with a simple example

The Gauss Newton Method - explained with a simple example TileStats

21K views - 2 years ago

Newton's method - explained | Newton-Raphson method | find roots and minimum value

Newton's method - explained | Newton-Raphson method | find roots and minimum value TileStats

5K views - 2 years ago

Neural networks with continuous output | ANN vs Regression

Neural networks with continuous output | ANN vs Regression TileStats

10.6K views - 2 years ago

Gradient descent - with a simple example

Gradient descent - with a simple example TileStats

7.3K views - 2 years ago

Nonlinear regression - the basics

Nonlinear regression - the basics TileStats

36.7K views - 2 years ago

Image classification with machine learning - explained | CNN ANN Logistic regression Decision trees

Image classification with machine learning - explained | CNN ANN Logistic regression Decision trees TileStats

3K views - 3 years ago

Understanding exponential decay and half-life with examples

Understanding exponential decay and half-life with examples TileStats

2.1K views - 3 years ago

Doubling time formulas with examples

Doubling time formulas with examples TileStats

3.7K views - 3 years ago