In Plain English

Beginner’s Guide to OpenAI’s GPT-3.5-Turbo Model

From GPT-3 to GPT-3.5-Turbo: Understanding the Latest Upgrades in OpenAI’s Language Model API.

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Why AI-Powered Receipt Scanning OCR is Essential for Fintech Companies

Revolutionize your fintech company with AI-Powered Receipt Scanning OCR: Reduce costs, improve accuracy, and streamline operations.

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Generating Images with ChatGPT

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Optical Character Recognition Technology for Business Owners

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Art Generating AI

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Communicate Your Ideas Clearly with Runtime's Code Detection API

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Logistic Regression from Scratch

Explained and Implemented

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Understand collate_fn in PyTorch

A beginner-friendly tutorial on how to create batches in PyTorch and how to modify default behavior for our needs.

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How to Replace Missing Dataframe Values with a Machine Learning Algorithm

A step-by-step guide to predicting missing data using an ML Algorithm.

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Decision Tree Parameter Explanations

Sklearn's Decision Tree Parameter Explanations

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Gaussian Distribution In Machine Learning

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The Adoption of AI and Machine Learning in Healthcare: What is the Right Way to Proceed?

Let's find out how AI-powered technologies are being adopted in healthcare, given all the restrictions and benefits AI brings to the field.

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Image Stitching Using OpenCV

A step-by-step guide on how to make panorama and image stitching using Python and OpenCV.

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Convolutional Autoencoders (CAE) with Tensorflow

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Iris Flower Classification Step-by-Step Tutorial

Do you want to learn machine learning, but having trouble getting started?

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How to Find Best Fit K-Value in KNN

What is K in KNN?

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Predicting probabilities with Python

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Hyperparameter Tuning of Decision Tree Classifier Using GridSearchCV

The models can have many hyperparameters and finding the best combination of the parameter using grid search methods.

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How to Calculate Entropy and Information Gain in Decision Trees

What is entropy and information gain in decision trees?

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Understanding Confusion Matrix and Applying It on KNN-Classifier on Iris Data Set

What is Confusion matrix? Confusion matrix is one such important tool which helps us evaluate our model's performance.

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Fischer's Linear Discriminant Analysis in Python From Scratch

Learn about Fisher's LDA and implement it from scratch in Python.

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Artificial Intelligence vs. Machine Learning vs. Deep Learning: What's the Difference

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Pooling Layer — Short and Simple

Here's all the information you should know about Pooling Layer in CNN

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Github Copilot: Review After 3 Months of Usage with Examples

How does it go on real projects, and does it really help?

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