Top 10 Neural Network Architectures
This article was written by James Le. Some examples of tasks best solved by machine learning include: Recognizing patterns: Objects in real scenes, Facial identities… Read More »Top 10 Neural Network Architectures
This article was written by James Le. Some examples of tasks best solved by machine learning include: Recognizing patterns: Objects in real scenes, Facial identities… Read More »Top 10 Neural Network Architectures
I am pleased to announce that my quantum simulator Qubiter (available at GitHub, BSD license) now has a native TensorFlow Backend-Simulator (see its class `SEO_simulator_tf`,… Read More »Quantum Simulator Qubiter now has a native TensorFlow backend
This is not very simple to choose a machine learning method and letting it go wild on the data. Particularly, understanding the core business problem… Read More »Frame a problem as a machine learning problem or otherwise
One of our business units wants to target the competitors’ customers with personalized product/offer. To do that, Business needs to understand who are the prepaid/postpaid… Read More »A Telecom Data science project from data gathering to model selection
Unlike supervised learning, unsupervised learning not working with labeled data, it is not showing the machine the correct answer. Instead, it is using different algorithms to let the… Read More »Unsupervised learning and its role in the knowledge discovery process
Gone are the days when insurance and nbfc sector was relying completely on manual processes. Today with the emergence of AI and data-driven business decision… Read More »Utilizing Artificial Intelligence Potential in Financial Services & Insurance Sectors
This is another spectacular property of the exponential distribution, and also the first time an explicit formula is obtained for the variance of the range,… Read More »A Beautiful Result in Probability Theory
I was deputed to work at Lagos, Nigeria in 2011 to work for a telecom giant there. The project in hand was to develop customer… Read More »Telecom Customer Analytics
Confidence intervals (CIs) tell you how much uncertainty a statistic has. The intervals are connected to confidence levels and the two terms are easily confused, especially… Read More »Confidence Intervals in One Picture
Emerging applications like machine learning (ML), big data analytics, and artificial intelligence (AI) has created the need for many companies to hire highly skilled and… Read More »How to make ML engineers 5x more efficient