Category: Data Science

Author: ajit jaokar   This post is part of my forthcoming book The Mathematical Foundations of Data Science. Probability is one of the foundations of […] Read More

Author: Vincent Granville Some original and very interesting material is presented here, with possible applications in Fintech. No need for a PhD in math to […] Read More

Author: George Seif The pandas library offers core functionality when preparing your data using Python. But, many don’t go beyond the basics, so learn about […] Read More

Author: mtdearing While there is much excitement today around implementing AI at the enterprise level, the financial costs of this process are often unexpected and […] Read More

Author: Andrea Manero-Bastin This article was written by Alberto Quesada.   The procedure used to carry out the learning process in a neural network is […] Read More

Author: Gregory PS Editor Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; How to Recognize a Good Data Scientist Job From a […] Read More

Author: mtdearing For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview […] Read More

Author: Matt Mayo Editor One way to process data faster and more efficiently is to detect abnormal events, changes or shifts in datasets. Anomaly detection […] Read More

Author: William Vorhies Summary:  AI/ML itself is the next big thing for many fields if you’re on the outside looking in.  But if you’re a […] Read More

Author: /u/datascience-bot Bleep Bloop. Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into […] Read More