Antonela Tamagnini

[Data Science Central @analyticbridge]

20 Cheat Sheets: Python, ML, Data Science, R, and More https://t.co/n3uUSpeYCt

[Christopher Doyle @MrDataScience]

The History of Top Programming Languages from 1965 to 2019! #Coding #DataScience #Analytics #IoT #Python

[Data Science Central @analyticbridge]

10 Companies Using Machine Learning in Cool Ways https://t.co/5RONSqJKis

[ThinkSys Inc @thinksysinc]

Technologies of the next ERA!

#Infographic #tech #technology #innovation #cloud #mobile #cybersecurity #IoT #Robots #HealthTech #blockchain #fintech #Insurtech #BigData #MachineLearning #AI #IoT #BigData #infographics

@MikeQuindazzi

[KDnuggets @kdnuggets]

The #DataScience Interview Study Guide https://t.co/MSMnLuI6u8

[Antonela Tamagnini @arpatpm]

Types of data structures

[Dalith Steiger @DalithSteiger]

#AIBest by @KirkDBorne
https://t.co/nfm7MjYjNy
J.P.Morgan’s Comprehensive Guide to #MachineLearning (including #Python code for some popular #ML algorithms):
https://t.co/HmKzNCaaBl
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#abdsc #BigD ..

@SwissCognitive - Join our weekly https://t.co/h1S7D8Luew

[Antonela Tamagnini @arpatpm]

Degree of Correlation #correlation #data

[KDnuggets @kdnuggets]

Ten random useful things in R that you might not know about #KDN https://t.co/L9Wh4IamDs

[KDnuggets @kdnuggets]

5 Alternative #DataScience Tools #KDN https://t.co/IHdhiPB12o

[Dalith Steiger @DalithSteiger]

#AIBest by @KirkDBorne
https://t.co/L000rXozym
The Top #MachineLearning #Algorithms, and how to master them: https://t.co/ALs5HUnxbv by @TeachTheMachine
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#abdsc #BigData #DataScience #AI #Mathematics ..

@SwissCognitive - Become an AI Ambassador https://t.co/QI09aH9Zah

[Antonela Tamagnini @arpatpm]

Chart suggestions. Very useful when working with #datavisualization

[Christopher Doyle @MrDataScience]

There are two kinds of data scientists: 1) Those who can extrapolate from incomplete data. #MachineLearning #DataScience #Mathematics

[Christian Lüdemann @chrislydemann]

Albert Einstein said:
"If you can't explain it simply, you don't understand it well enough"

When I teach complex tech topics, I say:
"If you can't systemize it and teach it to others in simple steps, you don't understand it well enough"

[Antonio Grasso @antgrasso]

In general, machine learning may be broken down into types: supervised, unsupervised, and in between those two. Link >> https://t.co/TeUEusG0sg @DZone via @antgrasso #AI #ML #DigitalTransformation

[Antonela Tamagnini @arpatpm]

@ieu_griffiths Agree !

[Antonela Tamagnini @arpatpm]

Structured vs. Unstructured Data #BigData #DataScience

[Antonela Tamagnini @arpatpm]

🤯

[Antonela Tamagnini @arpatpm]

Basic difference between Regression & Classification in ML #MachineLearning

[Antonela Tamagnini @arpatpm]

Choosing the right ML estimator #MachineLearning #DataScience

[KDnuggets @kdnuggets]

Things I Have Learned About #DataScience #KDN https://t.co/uoqY1bbB0Q