New word for Data Science – Signuology
I propose a new word for data science for sparking new thinking. Signuology is defined as the study of sets of characteristic predictive signals contained… Read More »New word for Data Science – Signuology
I propose a new word for data science for sparking new thinking. Signuology is defined as the study of sets of characteristic predictive signals contained… Read More »New word for Data Science – Signuology
Key topics of this blog: Economies of scalehave historically given large enterprises unsurmountable market advantages through the exploitation of mass production, distribution and marketing. In… Read More »In Digital Transformation, Economies of Learning More Powerful than Economies of Scale
As of now, chatbots are among the most trending technology for which the industry is excited to get in integrated. They get touted as the… Read More »Chatbot – A real game changer in the industry of technologically advanced practices
This is part 2 of a 3 part series: “How to make your mark on the world as a talented, socially conscious data scientist.” You can… Read More »IMPACT – Part 2: Be a problem solver first, an engineer second.
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This article was written by Krishna Kumar Mahto. So, three days into SVM, I was 40% frustrated, 30% restless, 20% irritated and 100% inefficient in… Read More »Demystifying the Math of Support Vector Machines (SVM)
Witnessing the data science field’s meteoric rise in demand across pretty much all industries and areas of scientific research, it’s easy to anticipate efforts to… Read More »Automated Machine Learning: Myth Versus Realty
Last month I had an honor to participate in data science project reviews for the new graduates of General Assembly’s Data Science Immersive program. In… Read More »Lessons for a successful career transition from data science immersive graduates
Determining the number of clusters when performing unsupervised clustering is a tricky problem. Many data sets don’t exhibit well separated clusters, and two human beings… Read More »How to Automatically Determine the Number of Clusters in your Data – and more