Get More Instagram Likes with Machine Learning

In this presentation, we will use Python and Cognitive Services to try and understand what makes people like photographs on Instagram more. We will also explore some great ways to run Python code in the cloud, including Visual Studio Codespaces, and some Python tooling, such as Pandas, Scikit Learn, Wordcloud, etc.

Transcript

1. Getting More Instagram Likes with Machine Learning Starting Soon…
2. Getting More Instagram Likes with Machine Learning Dmitry Soshnikov http://soshnikov.com Cloud Developer Advocate, Microsoft Associate Professor, MIPT / HSE / MAI
3. The Problem
4. Data Science ♥
5. Unstructured -> Structured
6. Microsoft Cognitive Services Learn more about them http://aka.ms/cognitive_docs Home page http://aka.ms/cognitive_home MS Learn http://aka.ms/learn_vision
7. How to Get Cloud http://aka.ms/az4stud http://aka.ms/azfree Photos by Arif Riyanto and Siora Photography at Unsplash
8. Data Science = Python! How to Run it?
9. Let’s Start Coding!
10. Let’s Start Coding!
11. Takeaways Data can Provide Incites In our example, we have explored the data and understood statistics of Instagram activities, most covered topics, etc. Data can Drive Decisions By exploring what affects outcomes we can take wiser decisions, e.g. what types of photographs to take, when to post, etc. Models can make Predictions We can build executable models that can predict desired outcomes Visual Studio Codespaces Great environment for any developer in the cloud
12. We ♥ Feedback! https://aka.ms/Reactor/Survey 7796
13. Dmitry Soshnikov http://soshnikov.com Twitter/ Instagram: @shwars