What is Google Colab: We all know that deep learning algorithms improve the accuracy of AI applications to great extent. But this accuracy comes with requiring heavy comp...
I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic...
Around two decades ago, marketing existed as a soft function within organizations. There is no denying its importance, of course, but from an organizational perspective, ...
In a previous blog I wrote about 6 potential applications of time series…. To recap, they are the following: Trend analysis Outlier/anomaly detection Examining shoc...
This article was written by Jean Francois Puget. What programming language should one learn to get a machine learning or data science job? That’s the silver bu...
Data democracy has been a hot topic of late. But what does this really mean? Further, what do we actually need to DO to build a culture of data democracy? This i...
Summary: Not everyone wants to invest the time and money to become a data scientist, and if you’re mid-career the barriers are even higher. If you still want to be d...
At a conference I attended a few years ago, a data scientist on a round table discussion replied to a question of what she considered the most important mathematical func...
Summary: Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged. Temporal Convolutional Nets (...
Chamber of Deputies is the lower house of National Congress of Brazil. It has 513 congress people, 219 of them max out their monthly spending that can be reimbursed. One ...