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Machine Learning Explained π¨βπ« PCA Principal Component Analysis is a commonly used method for dimensionality reduction. It's a good example of how fairly complex math can have a...
Machine Learning Formulas Explained π¨βπ« For regression problems you can use one of several loss functions: βͺοΈ MSE βͺοΈ MAE βͺοΈ Huber loss But which one is best? When should you pref...
Machine Learning Formulas Explained! π¨βπ« This is the formula for the Binary Cross Entropy Loss. It is commonly used for binary classification problems. It may look super confusin...
Can you detect COVID-19 using Machine Learning? π€ You have an X-ray or CT scan and the task is to detect if the patient has COVID-19 or not. Sounds doable, right? None of the 415...
Mastering your Machine Learning Interview π§βπ« I've summarized some great resources for you that will help you with your Machine Learning interview. Read below π
Machine Learning Formulas Explained! π¨βπ« This is the formula for the Binary Cross Entropy Loss. This loss function is commonly used for binary classification problems. It may loo...
Mastering your Machine Learning Interview π§βπ« I've summarized some great resources for you that will help you with your Machine Learning interview. Read below π
How Does a Self-Driving Car Work? π§ π§ π This is classical self-driving car software stack. Nowadays, all steps in the pipeline are dominated by machine learning. Read below for...
Machine Learning Formulas Explained π¨βπ« This is the formula for Mean Squared Error (MSE) as defined in WikiPedia. It represents a very simple concept, but may not be easy to read...
Is this formula difficult? π€ This is the formula for Gradient Descent with Momentum as presented in Wikipedia. It may look intimidating at first, but I promise you that by the e...