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classification
Intro to Language Processing with the NLTK
Hidden information often lies deep within the boundaries of what we can perceive with our eyes and our ears. Some look to data for that purpose, and most of the time, data can tell us more than we thought was imaginable. But sometimes data might not be clear cut enough... Read more
Getting to Know Natural Language Understanding
We like to imagine talking to computers the way Picard spoke to Data in Next Generation, but in reality, natural language processing is more than just teaching a computer to understand words. The subtext of how and why we use the words we do is notoriously difficult for computers to... Read more
Understanding Unstructured Data With Language Models
Much of our machine learning capabilities come from structured data, but the real payload lies in the messy, unstructured data underneath. If we want to gain practical insights, machines have to learn to parse things like social media posts filled with misspellings or sarcasm or handwritten doctor’s notes with illegible... Read more
9 Common Mistakes That Lead To Data Bias
Data scientists spend a lot of time with data, which by itself is neutral. It only follows that answers gleaned from the data would be neutral too. Even though data is neutral, our responses to data are sometimes filled with bias that can skew our outcomes. Let’s examine some common... Read more
Properly Setting the Random Seed in ML Experiments. Not as Simple as You Might Imagine
Join Comet at Booth 406 in the ODSC East Expo Hall. We will also be speaking at ODSC: – April 30, 9 am — A Deeper Stack for Deep Learning: Adding Visualizations + Data Abstractions to your Workflow (Douglas Blank, Head of Research) [Training Session] – May 2, 2:15 pm —... Read more
4 Steps to Start Machine Learning with Computer Vision
In 2012, AlexNet took first place at the ImageNet Large Scale Visual Recognition Challenge, marking the first time a convolutional neural network had won the image classification competition. One more factor that made this achievement much more significant is that AlexNet showed twice the accuracy than the second-place participant. In... Read more
Learn How to Organize, Cleanup and Process Medical Image Datasets for Computer Vision Training
We are entering a whole new world where the possibility for AI, and more specifically computer vision, can help us with medical decision making that we’ve relied on doctors to perform. Moreover, while the hope of having doctor-less diagnoses is still a work of science fiction, every day we get... Read more
Building an Image Search Service from Scratch
State-of-the-art image search technology uses both natural language processing and computer vision. Traditional NLP tasks like classification, named entity recognition, and translation are being combined with advances in computer vision so as to automate tasks like image captioning and website creation. Exciting as these advances have been, they have been... Read more
Logistic Regression with Python
Logistic regression was once the most popular machine learning algorithm, but the advent of more accurate algorithms for classification such as support vector machines, random forest, and neural networks has induced some machine learning engineers to view logistic regression as obsolete. Though it may have been overshadowed by more advanced... Read more
ODSC East 2019 Sneak Peek: Insights from 19 Data Science Experts
Data science doesn’t just happen magically by itself. All walks of data science and artificial intelligence – from machine learning and deep learning to NLP and computer vision – are successful thanks to the people behind it. At ODSC, our conferences are built upon these industry leaders – experts from... Read more

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