Dare to start (simple)
Imagine, you are the first data scientist in a company, may be in the industrial company, in one of the old industries, old economy branches.… Read More »Dare to start (simple)
Home » Archives for October 2019
October 2019
The Next Big Thing in AI/ML is…
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 data scientist it’s… Read More »The Next Big Thing in AI/ML is…
Why Utility Determination Is Critical to Defining AI Success
There seem to be countless articles projecting the incredible economic and social growth that will be driven by AI. For example, PwC predicts that AI… Read More »Why Utility Determination Is Critical to Defining AI Success
Top 8 data science use cases in Support
Actually the unlocking of hidden benefits and true potential of the data is an essential task for business. Also, customers` satisfaction appears to be a… Read More »Top 8 data science use cases in Support
A short introduction to Log Models
Why do we take logs of variable in Regression analysis? We should remember that a regression equation has two parts i) The Dependent variable (Predictand)… Read More »A short introduction to Log Models
Why Every Data Scientist Needs A Data Engineer
This article was written by Laurel Brunk. Data scientists spend most of their time (up to 79%!) on the part of their job they hate… Read More »Why Every Data Scientist Needs A Data Engineer
5 Algorithms to Train a Neural Network
This article was written by Alberto Quesada. The procedure used to carry out the learning process in a neural network is called the optimization… Read More »5 Algorithms to Train a Neural Network
P-Value Explained in One Picture
P-values (“Probability values”) are one way to test if the result from an experiment is statistically significant. This picture is a visual aid to p-values, using… Read More »P-Value Explained in One Picture
DSC Webinar Series: Forecasting Using TensorFlow and FB’s Prophet
We live in a time where we are able to monitor everything–servers, containers, fitness levels, power consumption, etc. Making predictions on time series data is… Read More »DSC Webinar Series: Forecasting Using TensorFlow and FB’s Prophet
Building an exoplanet detection model using TensorFlow's prebuilt estimator for gradient boosting trees
In this post we will talk about the Kepler dataset from Kaggle competitions and use it to build an exoplanet detection model using TensorFlow’s prebuilt estimator… Read More »Building an exoplanet detection model using TensorFlow's prebuilt estimator for gradient boosting trees