R vs. Python vs. Julia: How easy it is to write efficient code?
In my last post, I have compared R to Julia, showing how Julia brings a refreshening programming mindset to the Data Science community. The main takeaway is that with Jul...
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Hurwitz-Riemann Zeta And Other Special Probability Distributions
Source: here In my previous article here, I discussed a simple way to solve complex optimization problems in machine learning. This was illustrated in the case of comple...
DSC Podcast Series: Looking at Feature Engineering in a Different Way
Predictive modeling success hinges on selecting the features that are most likely to affect the desired outcome and sub-optimal featuring engineering is one of the culpri...
Pros and Cons of using Python for Web Development
Python is the world’s third most popular programming language in February 2021, according to TIOBE’s index. It grew over 1.52% since January. Its massive demand in th...
Feature Engineering At a glance
Data Science Lifecycle revolves around using various analytical methods to produce insights and applying Machine Learning techniques to do the predictions from the colle...
DSC Weekly Digest 15 March 2021
Data Agility, Not Code Agility Twenty years ago, a group of programmers, project managers, and consultants met at a ski resort just outside of Ogden, Utah. What they came...
How To Find The Right balance in HEALTH CARE using AI/ML?
Recent studies show that, ‘healthcare’, very niche and personalized sector is now expanding its arm to embrace ‘AI strategies’ on priority this journey wi...
What is automated machine learning (AutoML)?
Automated machine learning (AutoML) signifies a fundamental shift in how organizations of all sizes strategy machine learning and information science. Implementing conven...
DSC Weekly Digest 08 March 2021
Will Machine Learning Replace Programming? A combination of faster machines, more multicore processors, and new algorithms have propelled machine learning to become the h...
An Easy Way to Solve Complex Optimization Problems in Machine Learning
Source: here There are numerous examples in machine learning, statistics, mathematics and deep learning, requiring an algorithm to solve some complicated equations: for i...