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15 best data science bootcamps for boosting your career

CIO Business Intelligence

WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses. On-site courses are available in Munich. Remote courses are also available. DataScientest. NYC Data Science Academy. Data Science Retreat. Science to Data Science.

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Understanding Causal Inference

Domino Data Lab

Introduction. Chapter Introduction: Causal Inference. You’ve seen that logistic regression coefficients can be used to say how much more likely an outcome will occur in conjunction with a feature (for binary features) or how much more likely an outcome is to occur per unit increase in a variable (for real-valued features).

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

Introduction Time series forecasting enjoys a rich and luminous history, and today is an essential element of most any business operation. So it should come as no surprise that Google has compiled and forecast time series for a long time. Hand-Drawn Time Series of Google “Results Pages”, November 1998 through July 2004.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay. The rate at which data is generated has increased exponentially in recent years. million searches per day and 1.2

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

by MICHAEL QUINN, JEREMY MILES, KA WONG As data scientists, we often encounter situations in which human judgment provides the ground truth. But humans often disagree, and groups of humans may disagree with each other systematically (say, experts versus laypeople). Some of this data is human-labeled. Some of this data is human-labeled.

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Edge Prediction in a Social Graph: My Solution to Facebook's User Recommendation Contest on Kaggle

Edwin Chen

A couple weeks ago, Facebook launched a link prediction contest on Kaggle, with the goal of recommending missing edges in a social graph. I love investigating social networks , so I dug around a little, and since I did well enough to score one of the coveted prizes, I’ll share my approach here. Exploration. What does the network look like?

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