Tag feed

#core-ml

14 posts1 followers

Explore Hashnode

Alternatives

Trending tags this week

ACAnik Chandanikchandml.hashnode.devMay 24 · 8 min read

#13 PCA

PCA (Principal Component Analysis) is a dimensionality reduction technique and helps us to reduce the number of features in a dataset while keeping the most important information. It changes complex d

0

ACAnik Chandanikchandml.hashnode.devMay 23 · 4 min read

#7 Naive Bayes Algorithm

Naive Bayes is a supervised machine learning algorithm mainly used for classification problems. It is based on Bayes’ Theorem and assumes that all features are independent. Naive Bayes is commonly us

0

ACAnik Chandanikchandml.hashnode.devMay 23 · 5 min read

#3 Decision Trees

A Decision Tree is a supervised machine learning algorithm that makes decisions by splitting data into branches based on feature conditions — just like a flowchart. It's one of the most intuitive and

0

ACAnik Chandanikchandml.hashnode.devMay 23 · 7 min read

#6 KNN

K-Nearest Neighbors (KNN) is a simple supervised machine learning algorithm used for both classification and regression problems. It predicts the output based on the nearest data points. KNN helps th

0

ACAnik Chandanikchandml.hashnode.devMay 23 · 4 min read

#4 ID3 Algorithm in Decision Tree

ID3 (Iterative Dichotomiser 3) is a Decision Tree algorithm used for classification problems. It was introduced by Ross Quinlan in 1986. The algorithm builds a Decision Tree by selecting the feature w

0

ACAnik Chandanikchandml.hashnode.devMay 23 · 4 min read

#5 C4.5 Algorithm in Decision Tree

C4.5 is an improved version of the ID3 Decision Tree algorithm. It was introduced by Ross Quinlan to overcome the limitations of ID3. This algorithm builds the decision tree using - "Entropy", "Inform

0

ACAnik Chandanikchandml.hashnode.devMay 23 · 2 min read

#2 Supervised vs Unsupervised Learning

Machine Learning is a branch of Artificial Intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Machine learning is mainl

0

ADApp Devaiappdev.hashnode.devFeb 5 · 7 min read

How is AI Used in iOS App Development?

Understanding AI Integration in iOS App Development AI in iOS app development leverages Apple's Core ML framework, Create ML tools, and Vision API to embed machine learning models directly into applications, enabling features like facial recognition,...

0

NEnyein eiios-development.hashnode.devMay 16, 2025 · 3 min read

Integrating a Custom Trained Model into Your Receipt Scanning App

In the previous blog, I shared how to train a custom model using CreateML and your own dataset. If you haven’t read it yet, be sure to check it out first. My goal with this blog is to help you build something truly useful without feeling overwhelmed ...

0

NEnyein eiios-development.hashnode.devMay 15, 2025 · 2 min read

Building a Smart Receipt Scanner with Core ML: Training a Text Classifier from Scratch

I'm currently diving deeper into Core ML, and I thought—why not build something practical and exciting along the way? That’s when the idea hit me: a smart receipt scanner app powered by Core ML. Sounds a bit intimidating at first, right? Don’t worry—...

0

#core-ml

Search Hashnode

#core-ml

Explore Hashnode

Trending tags this week

#13 PCA

#7 Naive Bayes Algorithm

#3 Decision Trees

#6 KNN

#4 ID3 Algorithm in Decision Tree

#5 C4.5 Algorithm in Decision Tree

#2 Supervised vs Unsupervised Learning

How is AI Used in iOS App Development?

Integrating a Custom Trained Model into Your Receipt Scanning App

Building a Smart Receipt Scanner with Core ML: Training a Text Classifier from Scratch