75 percent of 2,000 venture-backed startups failed over a period of 6 years. When we look for an answer, we stumble upon the obvious; “No market need, not the right team, company ignores customers, runs out of cash, […],” explains CB Insights’ 2019 survey. This reminds us that there is a small gap between being …
Adapting Post-COVID: A New Challenge for Future Entrepreneurs. Read More »
Montreal, Canada, June 25 — Korbit reveals promising results in a new study published at the AIED conference highlighting how personalized hints improve learning. In a new study published at the 21st International Conference on Artificial Intelligence in Education (AIED), Korbit reveals promising results for its new personalized hints feature. The scientific article shows how Korbit …
Personalized Hints Improve Learning Gains in Korbit Study Read More »
Are you looking for ways to keep yourself productive this summer? Data science is a growing field with numerous resources available. The surplus of information can be overwhelming and dissuade you to continue your project. How do you find the most valuable data science information and how do you get started on a data science …
How to Start a Data Science Project for a Beginner in 2020 Read More »
How to Prepare for Bias-Variance Tradeoff Interview Questions In this post, we’ll see a new way of studying the bias-variance tradeoff and how to prepare for data science and machine learning interview questions. Let’s start with a story from one of Korbit’s graduates and her successful interview experience. What’s the Bias-Variance Tradeoff The bias-variance tradeoff …
Predicting Breast Cancer Recurrence Outcome In this post we will build a model for predicting cancer recurrence outcome with Logistic Regression in Python based on a real data set. Following the previous post about the concept of logistic regression (classification), let’s build a machine learning model that takes real data on breast cancer patients (using …
What is Logistic Regression AKA Classification? Logistic regression is a statistical method that allows us to perform classification. Essentially, the algorithm outputs probabilities which can then be mapped to different classes. The output is usually a discrete variable, such true or false, a class (cat or dog) and even ordinal classes (bad, medium or good). …
Running ML Code the Free and Easy Way You’ve probably watched a few machine learning tutorials on the web but when it’s time to start writing some code you’re faced with the dreaded environment setup challenge and perhaps hardware limitations. Fret not, Google Colab is here to save the day! This post covers the steps …
Predicting Breast Cancer Recurrence Time In this post we will build a model for predicting cancer recurrence time with Linear Regression in Python based on a real dataset. Following the previous post about the concept of linear regression, let’s build a machine learning model that takes real data on breast cancer patients (using features like …
What is Linear Regression? Linear regression is a statistical method that allows us to summarize and study the relationships between quantitative variables. Essentially, linear regression helps us model how changes in one or more inputs vary the output. The output is usually a continuous variable, such as time, price and height. It is very common …
Data Abundance According to Wikipedia, the term information explosion refers to the rapid increase in the amount of published information or data and the effects of this abundance. A major cause for this information explosion is the digitization of the various industries. The healthcare industry is no exception to this phenomenon and has digitized various …
