69 тысяч подписчиков
48 видео
Implementing Bayesian Optimization - Step by Step Coding - Part 2
Implementing Bayesian Optimization - Step by Step Coding - Part 1
Kalman Filter Simplified - Algorithm explained with Examples
How to Manage Train vs Test Divergences
Fixing Model Probability - Why this matters? How to do it?
Nested Cross Validation - Algorithm Explained
What is KFold Cross Validation? When NOT to use it? How to use it with modifications for your data
How to really find if my Test Data is diverging from my Training dataset? This WORKS!
Use CentralLimit Theorem to turn any distribution to Normal ? Really?
How Bootstrapping helps with scoring your Train Test Divergences?
How I built Generative AI for Retail in 60 Days
Bayesian Optimization - Math and Algorithm Explained
AdaBoost Math with Example clearly explained Step by Step Machine Learning Ensembles
How to Regularizing with Weight & Activation Regularizations | Deep Learning
Principal Component Analysis (PCA) Maths Explained with Implementation from Scratch
Support Vector Machines (SVM) Hard Margin Dual Formulation - Math Explained Step By Step
How to cluster using Hierarchical Clustering Algorithm | Machine Learning Step By Step
What is Extreme about XGBoost?, Why XGBoost wins Kaggle?, Algorithmic, Model & System Optimizations.
Hyperparameters - Introduction & Search
How to Configure and Tune Batch Size for your Neural Network?
DBSCAN Math and Algorithm Explained Step by Step
What is a Perceptron Learning Algorithm - Step By Step Clearly Explained using Python
How to Fix Vanishing & Exploding Gradient Problems | Deep Learning
How Gradient Descent finds the weights? Gradient Descent Math Step By Step with Example | Neural Net
XGBOOST Math Explained - Objective function derivation & Tree Growing | Step By Step
How to use Gaussian Mixture Models, EM algorithm for Clustering? | Machine Learning Step By Step
Back Propagation Concept Math Step By Step for a Two Layer Feed Forward Network
Support Vector Machines (SVM) Soft Margin Math Explained Step By Step - Primal & Dual Formulations