TileStats

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

Графики kNN и SNN, а также кластеризация Лувена | Как Сёра кластеризует отдельные клетки

Графики kNN и SNN, а также кластеризация Лувена | Как Сёра кластеризует отдельные клетки
UMAP объяснил просто

UMAP объяснил просто
Объяснение t-SNE: визуализация многомерных данных

Объяснение t-SNE: визуализация многомерных данных
Attention Neural Networks: Boosting CNNs with SE and CBAM Attention

Attention Neural Networks: Boosting CNNs with SE and CBAM Attention
Transformer Networks Explained: How ChatGPT Works

Transformer Networks Explained: How ChatGPT Works
U-Net clearly explained | Image Segmentation with AI

U-Net clearly explained | Image Segmentation with AI
Transfer learning - explained (VGG16, MobileNet, ResNet, EfficientNet)

Transfer learning - explained (VGG16, MobileNet, ResNet, EfficientNet)
Regression Trees and the complexity parameter

Regression Trees and the complexity parameter
An introduction to R and RStudio - for beginners

An introduction to R and RStudio - for beginners
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
Deep learning - explained simply | Early Stopping & Dropout

Deep learning - explained simply | Early Stopping & Dropout
How do AI and neural networks work?

How do AI and neural networks work?
Convolutional Neural Network (CNN) – explained simply

Convolutional Neural Network (CNN) – explained simply
Autoencoders - simply explained

Autoencoders - simply explained
PCA vs PCoA (Multidimensional scaling) - explained

PCA vs PCoA (Multidimensional scaling) - explained
SPSS for beginners in 22 minutes - enter data, plot and t-test

SPSS for beginners in 22 minutes - enter data, plot and t-test
Recurrent neural network (RNN) - explained super simple

Recurrent neural network (RNN) - explained super simple
Stochastic gradient descent (SGD) vs mini-batch GD | iterations vs epochs - Explained

Stochastic gradient descent (SGD) vs mini-batch GD | iterations vs epochs - Explained
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
Мультиномиальная логистическая регрессия | SoftMax-регрессия | объяснение

Мультиномиальная логистическая регрессия | SoftMax-регрессия | объяснение
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
Expected value vs mean

Expected value vs mean
Bootstrap confidence intervals - explained

Bootstrap confidence intervals - explained
Как выявить и обработать выбросы | Правило 1,5 IQR | Диаграммы ящиков

Как выявить и обработать выбросы | Правило 1,5 IQR | Диаграммы ящиков
Bayesian statistics - the basics

Bayesian statistics - the basics
Как проверить нормальность распределения | Предположение о нормальности

Как проверить нормальность распределения | Предположение о нормальности
PERMANOVA and permutation tests - explained

PERMANOVA and permutation tests - explained
Statistical power - Parametric vs Nonparametric test

Statistical power - Parametric vs Nonparametric test
Meta-analysis | The inverse variance method | Forest plot in R

Meta-analysis | The inverse variance method | Forest plot in R
Метод Мантеля-Хензеля — понятное объяснение | работа с запутывающими факторами

Метод Мантеля-Хензеля — понятное объяснение | работа с запутывающими факторами