How far is ChatGPT from Artificial General Intelligence? A recent study compares ChatGPT’s performance to human for programming education. Continue reading Is ChatGPT as good as humans? A study in the field of programming education
Advanced (yet simple) prompt engineering methods that are proven to work well in various domains. Continue reading Advanced (yet simple) Prompt Engineering techniques for Large Language Models
ChatGPT is not the only AI that can converse naturally with humans. In this article, we introduce alternatives for ChatGPT with their unique advantages. Continue reading Conversational AI: ChatGPT alternatives and their advantages
A straightforward technique that significantly enhances ChatGPT’s hint generation capabilities, placing it on par with expert human tutors for programming education. Continue reading Yes, we can now make ChatGPT as good as human tutors for programming education
Applying Machine Learning and Deep Learning to solve the Knowledge Tracing problem in the context of Programming classrooms. Continue reading Case study: Machine Learning and Deep Learning for Knowledge Tracing in Programming Education
Let us discuss the state-of-the-art methods for transforming every kind of input data into fixed-length vectors of continuous values, including Word2Vec, Doc2Vec, Image2Vec, Node2Vec, Edge2Vec, Code2Vec, and Data2Vec. Continue reading Transforming everything to vectors with Deep Learning: from Word2Vec, Node2Vec, to Code2Vec and Data2Vec
Let us review a list of pretrained language models, including BERT, Transformer-XL, XLNet, RoBERTa, DistilBERT, ALBERT, BART, ELECTRA, ConvBERT, DeBERTa, and BigBird. Continue reading A review of pre-trained language models: from BERT, RoBERTa, to ELECTRA, DeBERTa, BigBird, and more
The Transformer neural networks, explained in details. Continue reading The Transformer neural network architecture
Applications, such as using Machine Learning to boost the recruitment process, may bring more harm than good. Continue reading How Intelligent systems damage the data
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Getting started with Machine Learning What are Computer Science, Artificial Intelligence and Machine Learning? Different types of Machine Learning Machine Learning Applications Introduction to Python and Jupyter Numpy, Pandas, Scikit-learn and Matplotlib Data Scraping Data scraping: City dataset from Versus.com Data scraping: Phone dataset from Versus.com Data scraping: KDnuggets.com’s post statistics Data Scraping: Android App Dataset from Google Play Store Data Cleaning Data Cleaning case study: Google Play Store Dataset Preparatory Phase Control Variable Splitting data into a Training set and a Validation set Imbalanced Learning: sampling techniques Exploratory Data Analysis QQ plot versus PP plot versus Probability plot Multicollinearity … Continue reading Data Mining – Machine Learning
There are many people who get confused when hearing about Computer Science (CS), Artificial Intelligence (AI), and Machine Learning (ML). Continue reading What are Computer Science, Artificial Intelligence and Machine Learning?
To better understand the definition of collinearity, let’s start with an example… Continue reading What is Multicollinearity (or Collinearlity) ?