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CHEATSHEET

General -- Before every interview!!

• YOU ARE FORGETTING TO INCREMENT INDEXES in while, DRUNK OR SOMETHING JODER!!??

• ALWAYS THINK ABOUT STACK SPACE!!

• C'est PAS Scala -- MUST RETURN!!

• return statement

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Lesson 8- Intro to tensorflow

Lesson 9- Autoencoders

• What is an autoencoder?

  • Makes a compressed representation of a data without any human intervention
  • Cons Bad compression and generalizing to datasets
  • Pros Dimensionality Reduction and Image denoising

• A simple autoencoder

• Just compresses data, for example images from the MNIST database.

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CLEANUP YOUR ROOM, BUCKO!

Rule 1: Stand up straight with your shoulders back

Points

• Lobster-human analogy
• Try to wake up at same time everyday- fat and protein heavy breakfast
• Feedback Loop - if you look defeated, people will look at you that way; if you straighten up, people will look at you differently

Summary

So, attend carefully to your posture. Quit drooping and hunching around. Put your desires forward, as if you had a right to them- at least the same right as others. Walk tall and gaze forthrightly ahead. Dare to be dangerous.

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• https://code.fb.com/production-engineering/introducing-data-center-fabric-the-next-generation-facebook-data-center-network/
• https://www.datacenterknowledge.com/
• https://www.nextplatform.com/
• http://www.dchuddle.com/data-center-101/

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Scala Cheatsheet for pattern matching etc

https://docs.scala-lang.org/cheatsheets/

Scala cheatsheet for concepts

https://www.coursera.org/learn/progfun1/supplement/Sauv3/cheat-sheet

Scala 101 concepts - Objects, Classes etc

https://www.coursera.org/learn/progfun1/supplement/ebKWU/scala-tutorial

Scala Style Guide

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https://www.youtube.com/watch?v=F5mRW0jo-U4

Minute 14

django-admin

• python manage.py runserver

Minute 23

settings.py

• SECRET_KEY and DEBUG mode
• INSTALLED_APPS (basically components of the Django project)

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Image Representation and Classification

• Emotional intelligence

  • Ability to read and understand emotions -- Affectiva uses emotions on face, i.e. facial features.

• Color Images representation

• Depth is the number of channels

If the identification problem is easier in color for us humans, it’s likely easier for an algorithm to see color images too!

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List from Abhinav

1. Python: https://docs.python-guide.org/#writing-great-python-code
2. ReactJS: Take the tutorials at https://reactjs.org/ and make sure you understand the concepts. Reach out if you have any questions.
3. NodeJS: https://nodejs.org/en/. We use it for REST APIs. A basic understanding will be good.
4. Docker: All services are containerized.
5. Kubernetes: We plan to move services to K8.
6. Google Cloud Platform: Get a good understanding of different services and focus on pub-sub, IOT Core, Dataflow, GCE, GAE, Cloud SQL, BigQuery, GKE, etc.
7. RESTful APIs: https://en.wikipedia.org/wiki/Representational_state_transfer and https://restfulapi.net/.
8. Redis: https://redis.io/

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React Course

Section 1: Getting Started

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:smile: