Category: Data Science

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

Author: Vincent Granville Logistic regression is typically used when the response Y is a probability or a binary value (0 or 1). For instance, the […] Read More

Author: Gregory Piatetsky Also: The Third Wave Data Scientist; Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis Go to Source

Author: Vincent Granville This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, […] Read More

Author: Matt Mayo Editor A line-up of world-class speakers at Data Driven Government, Sep 25 in Washington, DC, will reveal you how to use data […] Read More

Author: Capri Granville I found an interesting websites featuring hundreds of charts derived from US census data. It shows contrasts between states, cities, regarding education, […] Read More