Articles

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… Read More »Run Deep learning models for free using google colaboratory

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… Read More »Scalable IoT ML Platform with Apache Kafka + Deep Learning + MQTT

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,… Read More »AI-Driven Transformation & the Impact on Marketing

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 shocks/unexpected… Read More »Outlier detection with time-series data mining

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… Read More »Building a Data Democracy

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… Read More »My Favorite Statistical Procedure? Frequencies!

Summary: Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged.  Temporal Convolutional Nets (TCNs) which… Read More »Temporal Convolutional Nets (TCNs) Take Over from RNNs for NLP Predictions