Machine Learning

Hold-out Method for Training Machine Learning Models

The hold-out method for training the machine learning models is a technique that involves splitting the data into different sets:…

2 years ago

Google Unveils Next-Gen LLM, PaLM-2

Google's breakthrough research in machine learning and responsible AI has culminated in the development of their next-generation large language model…

2 years ago

Occam’s Razor in Machine Learning: Examples

"Everything should be made as simple as possible, but not simpler." - Albert Einstein Consider this: According to a recent…

2 years ago

Outlier Detection Techniques in Python: Examples

In the realm of data science, mastering outlier detection techniques is paramount for ensuring data integrity and robust machine learning…

2 years ago

Lime Machine Learning Python Example

Today when core businesses have started relying on machine learning (ML) models predictions, interpreting complex models has become a necessary…

2 years ago

Boston Housing Dataset Linear Regression: Predicting House Prices

Predicting house prices accurately is crucial in the real estate industry. However, it can be challenging to determine the factors…

2 years ago

ChatGPT Cheat Sheet for Data Scientists

With the explosion of data being generated, data scientists are facing increased pressure to analyze and interpret large amounts of…

2 years ago

How does Dall-E 2 Work? Concepts, Examples

Have you ever wondered how generative AI is converting words into images? Or how generative AI models create a picture…

2 years ago

Gaussian Mixture Models: What are they & when to use?

In machine learning and data analysis, it is often necessary to identify patterns and clusters within large sets of data.…

2 years ago

NLP: Huggingface Transformers Code Examples

Do you want to build cutting-edge NLP models? Have you heard of Huggingface Transformers? Huggingface Transformers is a popular open-source…

2 years ago