Recently we have discussed the emerging concept of smart farming that makes agriculture more efficient and effective with the help of high-precision algorithms. The mechanism… Read More »Machine Learning in Agriculture: Applications and Techniques
Evaluating a model is just as important as creating the model in the first place. Even if you use the most statistically sound tools to… Read More »Comparing Model Evaluation Techniques Part 1: Statistical Tools & Tests
I found an interesting websites featuring hundreds of charts derived from US census data. It shows contrasts between states, cities, regarding education, jobs, languages spoken,… Read More »Interesting Charts and Maps Obtained Using Census Data
Currently, Cloudera is in the news for all the wrong reasons(Cloudera stock down 42%) Since Cloudera now also incorporates Hortonworks – the current issues are… Read More »Seduced by the Big Data meme: Hadoop vs the Public Cloud
Summary: Despite our concerns about China taking the lead in AI, our own government efforts mostly through DARPA continue powerful leadership and funding to maintain… Read More »Big Ideas in AI for the Next 10 Years
R-squared can help you answer the question “How does my model perform, compared to a naive model?”. However, r2 is far from a perfect tool. Probably the… Read More »Alternatives to R-squared (with pluses and minuses)
This article was written by Roopam Upadhyay. This article is a continuation of our manufacturing case study example to forecast tractor sales through time series and… Read More »Forecasting through ARIMA Modeling using R – Step-by-step Guide
This article was written by Alexandr Honchar. People use deep learning almost for everything today, and the “sexiest” areas of applications are computer vision, natural… Read More »Deep learning: the final frontier for signal processing and time series analysis?
As a teacher of Data Science (Data Science for Internet of Things course at the University of Oxford), I am always fascinated in cross connection… Read More »Logistic regression as a neural network
If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented… Read More »What is Augmented Data Science and Why is it Important to My Business?
