Analytics Vidhya
SEPTEMBER 22, 2019
Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply. The post How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy appeared first on Analytics Vidhya.
Bruno Aziza
SEPTEMBER 22, 2019
Today, as data has become a lifeblood of industry leading firms, competing on analytics has become an unquestioned mantra, and firms have anointed Chief Data Officers to occupy the C-Suite.
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MLWhiz
SEPTEMBER 22, 2019
I always get confused whenever someone talks about generative vs. discriminative classification models. I end up reading it again and again, yet somehow it eludes me. So I thought of writing a post on it to improve my understanding. This post is about understanding Generative Models and how they differ from Discriminative models. In the end, we will create a simple generative model ourselves.
Octopai
SEPTEMBER 22, 2019
Modern businesses live and die by the quality of the data they collect and use. Retail companies—both e-commerce and brick-and-mortar—as well as manufacturing, transportation, and services, have come to think of themselves as “data companies.” Perhaps nowhere is this truer than in the insurance industry, though. Consider: – In life insurance, actuaries rely on data from many sources to discover and define ever more granular health and lifestyle attributes to determine the overall risk leve
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Teradata
SEPTEMBER 22, 2019
Clean data is critical to your business. Find out what three things you need to know about clean data for the health of your organization. Read more.
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