2020

Data Science Technical Video Interview 2020/04/05

Topic Model Video Interview 2020/04/04

Sequence Based Data Video Interview 2020/04/04

Semantic Analysis Video Interview 2020/04/04

Requirements to Deploy Video Interview 2020/04/04

R and Python Video Interview 2020/04/04

Natural Language Processing Video Interview 2020/04/04

Model Performance Video Interview 2020/04/04

Model Deployment Video Interview 2020/04/04

Machine Learning Pipeline Video Interview 2020/04/04

Machine Learning Algorithms Video Interview 2020/04/04

Learning Rate Video Interview 2020/04/04

Gradient Descent Video Interview 2020/04/04

Feature Selection Video Interview 2020/04/04

Feature Engineering Video Interview 2020/04/04

Cloud Services Video Interview 2020/04/04

Activation Function in Neural Nets 2020/01/09

Ensemble Learning with Gradient Boosting 2020/01/03

Ensemble Learning with Adaptive Boosting 2020/01/03

2019

The Learning Rate 2019/12/17

Recommender System of Scientific Paper 2019/12/13

NLP Glossary 2019/12/11

Bias Variance Trade-Off 2019/11/07

Introduction to Support Vector Machine 2019/10/02

Introduction to Topic Model 2019/08/08

Introduction to Word2Vec 2019/08/06

Introduction to Naive Bayes 2019/08/06

Introduction to K-Means and Hierarchical clustering 2019/08/02

Principal Component Analysis 2019/07/26

Ensemble Learning 2019/07/26

Simple Regression with Python 2019/07/19

Ridge and Lasso Regression 2019/06/18

Fitting a curve to data LOWESS and LOESS 2019/06/18

Synthetic Minority Oversampling Technique 2019/06/17

Cluster Analysis in Theory 2019/06/12

Gradient Descent Step by Step 2019/02/13

Data Science using Agile Methodology 2019/02/11

Event Processing 2019/01/23

Continuous Probability 2019/01/22

The Monty Hall Problem 2019/01/20

How many Monte Carlo are enough? 2019/01/20