Prediction - Learn Data Science with Travis

Probabilistic Predictions

Towards Data Science

In data science, the traditional approach to dealing with prediction error reminds me of the iceberg metaphor. Our models cannot predict the future perfectly, so we optimize them to push the…

Estimation, Prediction and Forecasting

Towards Data Science

Estimation implies finding the optimal parameter using historical data whereas prediction uses the data to compute the random value of the unseen data. Estimation is the process of optimizing the…

A Theory of Prediction

Towards Data Science

The Signal and the Noise is probably the most informative non-technical book about the art of predicting ever written. It outlines what is best described as Nate Silver’s “Theory of Prediction”…

From prediction to decision making

Towards Data Science

Prediction (correlation) does not imply causation, and it is not sufficient to correctly inform decision and policy makers.

Python Predicts PUBG Mobile

Towards Data Science

It is impossible to predict the Future! ( Unless you have a time stone -:) ). But predicting the immediate future is not very hard for us (Humans). We do it in the real life quite often — while…

Predicting Probabilities — Logit Model Analysis

Analytics Vidhya

Purpose: Predicting which applicants will complete their application for admission. The result will help focus recruitment efforts more effectively and efficiently; especially helpful in a time…

Making Prophecies with Data

Towards Data Science

Forecasting is a problem common to many industries and is often deployed in scenarios such as financial planning, sales/demand forecasting, marketing campaign analysis, predictive maintenance, and…

Predicting the Future With AI

Towards AI

Can we predict the future? Most would say no. Let’s change the wording of the question: Can data from the past tell us something about the future? This seems a lot more intuitive, and it’s what Time…

The Art of Explaining Predictions

Towards Data Science

How to explain your model in a human-friendly way Continue reading on Towards Data Science

Predicting unknown unknowns

Towards Data Science

For classification models for many domains and scenarios it is important to predict when the input given to the model does not belong to the classes it was trained on. It is also an important problem…...

Prediction Beyond and End of The Available Data

Towards Data Science

Predictions into the future beyond the sample data in a complex task; especially when we are dealing with stochastic time-series with financial data which emerge from high frequency trading. A…

Intro to Forecasting

Towards Data Science

Forecasting is another technique that uses structured data (often obtained by using techniques from Natural Language Processing and Object Recognition) to inform decision-making. Forecasting…