Analytics Vidhya

NOVEMBER 29, 2020

This article was published as a part of the Data Science Blogathon. Introduction Time series forecasting is used to predict future values based on previously. The post Stock Market Price Trend Prediction Using Time Series Forecasting appeared first on Analytics Vidhya.

Forecasting 337

Forecasting Marketing Data Science Publishing 337

Andrew White

NOVEMBER 29, 2020

Click here for an interactive PDF to connect to the notes directly. Julian Sun’s note from June ( Adopt Cloud Analytics to Drive Innovation ) just flashed its way into the top 20 last week – re-entering the “charts” at number 1. It was our most-read piece of research across D&A last week (before Thanksgiving) excluding branded research such as Magic Quadrants etc.

Analytics 52

Analytics Data Analytics Interactive IT 52

Analytics Vidhya

NOVEMBER 29, 2020

This article was published as a part of the Data Science Blogathon. Introduction H2O is a fully open-source, distributed in-memory machine learning platform with. The post Exploring Linear Regression with H20 AutoML(Automated Machine Learning) appeared first on Analytics Vidhya.

Machine Learning 212

Machine Learning Data Science Publishing Analytics 212

Edwin Chen

NOVEMBER 29, 2020

tl;dr I started Surge AI to fix the problems I've always encountered with getting high-quality, human-labeled data at scale. Think MTurk 2.0—but with an obsessive focus on quality and speed, and an elite workforce you can trust. If you've ever had problems getting human-annotated data, or wish ….

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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.

Experimentation

Edwin Chen

NOVEMBER 29, 2020

tl;dr I started Surge earlier this year to fix the problems I've always encountered with getting high-quality, human-labeled data at scale. Think MTurk 2.0—but with an obsessive focus on quality and speed, and an elite workforce you can trust. If you've ever had problems getting human-annotated data ….

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