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COVID-19 Analysis
Studying and Predicting the Progress of COVID-19 using Pandas and ARIMA COVID-19 has been around for nearly 4 months since the outbreak. In this notebook,
April 6, 2020
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Coding
Studying and Predicting the Progress of COVID-19 using Pandas and ARIMA COVID-19 has been around
- April 6, 2020
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Theory and Concepts
What Will You Learn? In our previous post, we have talked about the meaning of
- March 6, 2020
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Mathematics of Machine Learning
What will you learn? Ask any machine learning expert! They will all have to google
- February 6, 2020
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Theory and Concepts
The Gradient Descent Rule https://www.youtube.com/watch?v=gYqG4OT2Kj4 When training a model, we strive to minimize a certain
- January 28, 2020
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Theory and Concepts
What We Have Learned So Far … So far, we have learned that the Delta
- November 8, 2019
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Theory and Concepts
Deriving the Gradient Descent Rule (PART-2)
What Will You Learn? In our previous post, we have talked about the meaning of gradient descent and how it can help us update the
March 6, 2020
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Mathematics of Machine Learning
The Derivative of Softmax(z) Function w.r.t z
What will you learn? Ask any machine learning expert! They will all have to google the answer to this question: “What was the derivative of
February 6, 2020
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Theory and Concepts
Deriving the Gradient Descent Rule (PART-1)
The Gradient Descent Rule https://www.youtube.com/watch?v=gYqG4OT2Kj4 When training a model, we strive to minimize a certain error function (). This error function gives us an indication
January 28, 2020
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Theory and Concepts
What is the Delta Rule? (Part-2)
What We Have Learned So Far … So far, we have learned that the Delta rule guarantees to converge to a model that fits our
November 8, 2019
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Theory and Concepts
The Beauty that is the Delta Rule In general, there are 2 main ways to
- October 18, 2019
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Theory and Concepts
The Perceptron Training Rule It is important to learn the training process of huge neural
- September 30, 2019
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Public Talks
ECML-PKDD-2019 on EBFDD networks for Anomaly Detection This paper introduces the Elliptical Basis Function Data
- September 18, 2019
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Coding
What will you Learn in this Post? Neural Networks are function approximators. For example, in
- July 20, 2019
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A curious (but revealing) case in Bayesian inference 🧠
Check out my latest article: A curious (but revealing) case in Bayesian inference 🧠 via @LinkedIn
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