Category: Data Science

Author: Gregory PS Editor How Netflix works: the (hugely simplified) complex stuff that happens every time; Top Certificates and Certifications in Analytics, Data Science, ML; […] Read More

Author: Stephanie Glen The basic idea behind regression analysis is to take a set of data and use that data to make predictions. A useful first […] Read More

Author: Matt Mayo Editor This technical webinar on Aug 14 discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting […] Read More

Author: steve miller I enjoy data prep munging for analyses with computational platforms such as R, Python-Pandas, Julia, Apache Spark, and even relational databases. The […] Read More

Author: Matt Mayo Editor Seeking a Lecturer / Sr Lecturer for the Monash Blockchain Technology Centre (Monash BTC): a visionary enterprise that will bring together […] Read More

Author: Vincent O Ajayi When I first heard about machine learning (ML), I thought only big companies applied it to explore big data. On searching […] 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: Stephanie Glen Decision Trees, Random Forests and Boosting are among the top 16 data science and machine learning tools used by data scientists. The three […] 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: Luciano Strika Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and […] Read More