Marketing Analytics, Data Science and Leadership – June 15, 2020 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading.

Machine learning: What’s the difference between supervised and unsupervised? via @thenextweb

This is a clustering problem, the main use of unsupervised machine learning.

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All you need to know about symbolic artificial intelligence via @bendee983

Instead of manually laboring through the rules of detecting cat pixels, you can train a deep learning algorithm on many pictures of cats.

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Introduction to Pandas for Data Science via @kdnuggets

The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating and features many of Pandas important features.

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Recover Any Kind of Lost Data With EaseUS Data Recovery Wizard via @TechGYD

Data disasters can be tricky. It can be triggered by a lot of random things. Sometimes we are not even able to find the actual reason behind data loss.

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5 Powerful Python IDEs for Writing Analytics and Data Science Code via @analyticsvidhya

PyCharm clearly has a lot to offer and will surely be able to tackle all the development work related to Python, from web development to data science applications.

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