Categories

Machine Learning

13 Aug 2022	Time and Space Complexity of Machine Learning Models
10 Jan 2022	Receiver Operating Curve
01 Nov 2021	Cross Validation
29 Sep 2021	Kernel Methods
24 Sep 2021	Clustering K-Means
16 Sep 2021	Bayesian Network
25 Jan 2021	Convolutional Neural Network
15 Jan 2021	Gradients Automation
02 Jan 2021	Recurrent Neural Network
20 Dec 2020	Boltzmann Machine
01 Dec 2020	Stochastic Gradient Descent
12 Nov 2020	Neural Network
31 Oct 2020	Support Vector Machine (SVM)
13 Oct 2020	Gradient Boosting
27 Sep 2020	AdaBoost
13 Sep 2020	Random Forest
01 Sep 2020	Decision Tree
20 Aug 2020	Linear Discriminant Analysis
10 Aug 2020	Logistic Regression
29 Jul 2020	K-Nearest Neighbors
15 Jul 2020	Expectation-Maximization
20 Jun 2020	Linear regression classifier
05 Jun 2020	Bias-Variance/Complexity tradeoff
26 May 2020	Curse of dimensionality
02 May 2020	Rademacher complexity
01 May 2020	Hyperplanes and classification
30 Apr 2020	VC dimension
26 Apr 2020	Bayes Optimal Classifier
14 Apr 2020	Probably Approximately Correct (PAC)

Statistics

09 Oct 2021	Power Test
30 Jun 2020	Statistical Testing
05 May 2020	Hoeffding's inequality

Cloud-Computing

01 Dec 2021	Model Deployment with AWS Sagemaker
30 Aug 2021	Deploying with Docker Containers
20 Aug 2021	Deploy Machine Learning using Flask