About Sebastian Raschka
Data Scientist and Machine Learning enthusiast with big passion for Python & open source. Author of "Python Machine Learning" book.
Sebastian Raschka Posts (13)

Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed  25 Nov 2016
Sebastian Raschka weighs in on how to battle stress as a beginner in the data science world. His insight is tothepoint, so reading it should be a stressfree endeavour.

What is the Role of the Activation Function in a Neural Network?  30 Aug 2016
Confused as to exactly what the activation function in a neural network does? Read this overview, and check out the handy cheat sheet at the end.

What is Softmax Regression and How is it Related to Logistic Regression?  01 Jul 2016
An informative exploration of softmax regression and its relationship with logistic regression, and situations in which each would be applicable.

Regularization in Logistic Regression: Better Fit and Better Generalization?  24 Jun 2016
A discussion on regularization in logistic regression, and how its usage plays into better model fit and generalization.

A Visual Explanation of the Back Propagation Algorithm for Neural Networks  17 Jun 2016
A concise explanation of backpropagation for neural networks is presented in elementary terms, along with explanatory visualization.

How to Select Support Vector Machine Kernels  13 Jun 2016
Support Vector Machine kernel selection can be tricky, and is dataset dependent. Here is some advice on how to proceed in the kernel selection process.

What is the Difference Between Deep Learning and “Regular” Machine Learning?  03 Jun 2016
Another concise explanation of a machine learning concept by Sebastian Raschka. This time, Sebastian explains the difference between Deep Learning and "regular" machine learning.

A Concise Overview of Standard Modelfitting Methods  27 May 2016
A very concise overview of 4 standard modelfitting methods, focusing on their differences: closedform equations, gradient descent, stochastic gradient descent, and minibatch learning.

How to Explain Machine Learning to a Software Engineer  20 May 2016
How do you explain what machine learning is to the uninitiated software engineer? Read on for one perspective on doing so.

Troubleshooting Neural Networks: What is Wrong When My Error Increases?  13 May 2016
An overview of some of the things that could lead to an increased error rate in neural network implementations.