-
An End-to-End Guide on Using Comet ML’s Model Versioning Feature: Part 1
Photo by Isaac Smith on Unsplash The world of machine learning and data science is awash with technicalities. With each…
-
Guide to Loss Functions for Machine Learning Models
Photo by Alexandre Debiève on Unsplash In machine learning, a loss function is used to measure the loss, or cost,…
-
The 7 NLP Techniques That Will Change How You Communicate in the Future (Part II)
In part 1, I introduced the field of Natural Language Processing (NLP) and the deep learning movement that’s powered it.…
-
NLP for Text-to-Image Generators — Prompt Generation [Part 2]
Src: https://analyticsindiamag.com/the-ai-art-generation-tools-that-you-can-actually-use/ In the previous tutorial, we analyzed a large dataset of prompts created by Midjourney users. By using natural…
-
Choosing The Best Model Architecture for Your NLP Task
With the rise of neural network NLP models, many practitioners are wondering how to best configure a model to perform…
-
Pre-Trained Machine Learning Models vs Models Trained from Scratch
From the Abstract: We report competitive results on object detection and instance segmentation on the COCO dataset using standard models…
-
Dataset Augmentation for Computer Vision and Why You Might Be Doing It Wrong
Photo by Stephen Kraakmo on Unsplash Lack of large-scale labeled datasets is a severely limiting factor in training Deep Learning…
-
Using Pre-Trained NLP Models for Sentence Similarity
Photo by Towfiqu barbhuiya on Unsplash Introduction Natural Language Processing (NLP) is a type of artificial intelligence in which computers…
-
Introduction to Text Wrangling Techniques for Natural Language Processing
What is Text Wrangling? Although is has many forms, text wrangling is basically the pre-processing work that’s done to prepare…
-
A Vision for the Future: How Computer Vision is Transforming Robotics
The goal of computer vision research is to teach computers to recognize objects and scenes in their surroundings. As robots…