As the week is winding up with this Friday, Dexlab Analytics is here rounding off with its week’s proceedings! Here at Dexlab Analytics, we always strive to keep our readers aware of the latest digital trends dominating the world of technology. Thus, every Friday we come up with a Quick Recap Session.
In this week we have discussed the statistical application in R and Python and how we can calculate the geometric mean using R and Python. Furthermore, we have learnt what we should learn first between data science and machine learning. Lastly, we now know the reason why artificial intelligence is driven by Python and not Ruby.
Statistical Application in R & Python: Chapter 1 – Measure of Central Tendency
Both R & Python has been found extremely effective in applied statistics. All 3 methods of Central Tendency: Mean, Median and Mode are solved quite easily via these advanced programming languages.
Calculating Geometric Mean using R & Python
The calculation of the Geometric Mean has never been so easy before as it is with R & Python. Here’s How!
What should I learn first: data science or machine learning?
If you know Machine Learning, then you must be knowing Data Science or rather a part of it. Yes, because Machine Learning falls under the umbrella term Data Science which also subsumes artificial intelligence, big data analytics, statistics and more.
Why is artificial intelligence driven by Python and not Ruby?
Python, as it is found to be more compact, effective, powerful and portable, it is really the future of computer and the same goes for the AI.
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