ML: Decision Trees- Introduction & Interview Questions

AAWEG I *We put ghosts in machines *

5 min readApr 11

--

Photo by Jens Lelie on Unsplash

ALGORITHM

The algorithm works by recursively splitting the data into subsets based on the values of the input variables, with the goal of maximizing the information gain at each step. The resulting tree can be used to make predictions for new instances.

The tree consists of nodes and branches. The nodes represent a decision or a test on a…

AAWEG I *We put ghosts in machines *

Written by AAWEG I We put ghosts in machines

linkedin.com/in/aaweg-i | github.com/the-ogre

More from AAWEG I We put ghosts in machines

AAWEG I *We put ghosts in machines *

Time Series Forecasting: A Comparative Analysis of SARIMAX and XGBoost Algorithms

SARIMAX (Seasonal Autoregressive Integrated Moving Average with Exogenous Variables) and XGBoost are both popular algorithms used for time…

3 min readMay 14

--

AAWEG I *We put ghosts in machines *
in
Aaweg Interview

Can you explain Jaccard’s Index? How does it differ from Dice Coefficient?

In object detection, there are two distinct tasks to measure:

6 min readNov 27, 2022

--

AAWEG I *We put ghosts in machines *
in
Aaweg Interview

Can you tell us something about ‘Global Average Pooling’?

A typical classifier, except the last two/few layers, is nothing but a feature extractor.

3 min readNov 29, 2022

--

AAWEG I *We put ghosts in machines *
in
Literary Impulse

Exploring the Fragility of Power and Empire: A Critical Reading of Ryan Keating’s ‘Crushing Snails’…

Delve into the thought-provoking poem “Crushing Snails” by Ryan Keating, which vividly describes the interconnectedness of ancient empires…

3 min read6 days ago

--

See all from AAWEG I *We put ghosts in machines *

Recommended from Medium

Matt Crooks
in
Towards Data Science

A Review of Propensity Score Modelling Approaches

A review of different approaches to using propensity scores in causal inference modelling

11 min readMay 17

--

Dr. Roi Yehoshua
in
Towards Data Science

Mastering Logistic Regression

From theory to implementation in Python

17 min readMay 20

--

Lists

What is ChatGPT?

9 stories57 saves

Staff Picks

323 stories82 saves

Dr. Roi Yehoshua

Database Normalization Demystified

Database normalization is the process of structuring and organizing a relational database in a way that ensures that it conforms to one of…

7 min readMar 9

--

Dr. Roi Yehoshua
in
Towards AI

Introduction to Ensemble Methods

An ensemble method is a powerful technique that allows you to combine multiple machine learning models into one model, which often performs…

7 min readMar 6

--

Overwiev of sigmoid function S-shape

Peter Karas
in
Artificial Intelligence in Plain English

Logistic Regression in Depth

Logistic regression, activation function, derivation, math

6 min readJan 31

--

Dr. Roi Yehoshua

Random Forests

Random forests is a powerful machine learning model based on an ensemble of decision trees, where each tree is grown using a random subset…

8 min readMar 25

--

See more recommendations

Help
Status
Writers
Blog
Careers
Privacy
Terms
About
Text to speech