Category: Data Science

Author: Manu J Also: Resources for developers transitioning into data science; Best Data Visualization Techniques for small and large data; Top Data Science and Machine […] Read More

Author: Stephanie Glen A myriad of options exist for classification. In general, there isn’t a single “best” option for every situation. That said, three popular […] Read More

Author: Matt Mayo Editor Python users come from all sorts of backgrounds, but computer science skills make the difference between a Python apprentice and a […] Read More

Author: /u/AutoModerator Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

Author: Matt Mayo Editor You can have all the data you want, do all the machine learning you want, but if you aren’t running your […] Read More

Author: ajit jaokar Can design sprints work for Artificial Intelligence applications? Last week, for the first time, I attended a meetup on Design Sprints( The […] Read More

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: Manu Jeevan The biggest mistake you can make while learning Python for data science is to learn Python programming from courses meant for programmers. […] Read More

Author: Matt Mayo Editor Hear top practitioners describe the design, deployment and business impact of their machine learning projects at Predictive Analytics World London, 16-17 […] Read More

Author: Manu J Also: Cognitive Biases are Making Sure You Aren’t So Smart; 3 Machine Learning Books that Helped me Level Up as a Data […] Read More