Most of us start working with specific programming languages like TensorFlow and Pyspark So, we are relatively not so used to working with Cloud APIs. But Cloud APIs for ...
Understanding the maths behind forward and back propagation is not very easy. There are some very good – but also very technical explanations. For example : The Matrix ...
A complete guide to K-means clustering algorithm Let’s say you want to classify hundreds (or thousands) of documents based on their content and topics, or you wish to�...
If you want to determine the optimal number of clusters in your analysis, you’re faced with an overwhelming number of (mostly subjective) choices. Note that there...
It has been popularly noted that artificial intelligence would be like the ultimate version of Google. With recent advancements in research and technology, Artificial Int...
Naive Bayes is a deceptively simple way to find answers to probability questions that involve many inputs. For example, if you’re a website owner, you might be inte...
Lecture notes for the Statistical Machine Learning course taught at the Department of Information Technology, University of Uppsala (Sweden.) Updated in March 2019. Aut...
A little less than a year ago, I posted a blog on generating multivariate frequencies with the Python Pandas data management library, at the same time showcasing Pyt...
Hadoop and Spark are software frameworks from Apache Software Foundation that are used to manage ‘Big Data’. There is no particular threshold size which classi...