# "Unorganized" Notes
> ***Obstacles cannot crush me. Every obstacle leads to stern resolve. He who is fixed to a star does not change his mind.***
>
> Leonardo DaVinci
> ***Be brave enough to live life creatively. The creative is the place where no one else has ever been. You have to leave the city of your comfort and go into the wilderness of your intuition. You can’t get there by bus, only by hard work and risk and by not quite knowing what you are doing. What you’ll discover will be wonderful. What you’ll discover will be yourself.***
>
> *Alan Alda*
### **30 Second Elevator Pitch**
{% embed url="" %}
As you begin drafting your elevator pitch, here are a few things to focus on:
* Your background; including the technical aspects of your background where applicable
* Your transition into your field of study; highlighting why you love it
* What value you bring
* What you're building
If you're looking for inspiration, here are a few questions to ask yourself:
* What am I good at?
* What problems have I solved?
* Why do I want to be a \[developer/data scientist, etc.]?
* What was my first exposure to \[code/big data, etc.]?
* What am I passionate about?
* What was my ‘AHA’ moment to pivot into my new field of study?
{% tabs %}
{% tab title="First Draft" %}
I am a Machine Learning Engineer and an accomplished digital production expert. I just finished my training as a Data Scientist at Flatiron School, and I am looking forward to being able to combine my years of experience in computer graphics and my new expertise in machine learning. Right now, I am finishing a small side project using a machine learning technique called GAN to generate new images from a given set of pictures, in my case, mugshots. I believe that machine learning is an invaluable addition to my computer graphics background and would love to be able to combine them in my next job.
{% endtab %}
{% tab title="Second Draft" %}
I am a Machine Learning Engineer and an accomplished digital production expert. I just finished my training as a Data Scientist at Flatiron School, and I am looking forward to being able to combine my years of experience as a technical lead in computer graphics and my new expertise in machine learning. Right now, I am working on a machine learning project using TensorFlow Graphics. I believe that machine learning is an invaluable addition to my computer graphics background and would love to be able to combine them in my next job.
{% endtab %}
{% endtabs %}
#### Prepping for MLE interviews? Develop a T-shaped knowledge base.
Make yourself a stronger candidate by demonstrating broad technical knowledge **AND** expertise in one area.
* Be passioned for a specific use case (project) to present
* Get involved with open source (github):
* code (fix bugs etc)
* **documentation** <<<<
## Learn
* [Intro Machine Learning](https://classroom.udacity.com/courses/ud120)
* [Deep Learning](https://classroom.udacity.com/courses/ud730)
* [Linear Algebra Refresher Course](https://classroom.udacity.com/courses/ud953)
* [Introduction to Algorithms](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/index.htm)
* [Probability - The Science of Uncertainty and Data](https://courses.edx.org/courses/course-v1:MITx+6.431x+3T2018/course/)
{% embed url="" %}
Technical Notes On Using Data Science & Artificial Intelligence
{% endembed %}
## Projects
* [kaggle](https://www.kaggle.com/)
* [fivethirtyeight](https://fivethirtyeight.com)
* [UCI Machine Learning Datasets Repository](https://archive.ics.uci.edu/ml/datasets.html)
* [openml](https://www.openml.org)
* [Inside AirBnB](http://insideairbnb.com/)
* [Awesome Datasets Repo on Github](https://github.com/awesomedata/awesome-public-datasets)
## Code Challenge
* [codesignal](https://app.codesignal.com/challenges)
* [hackerrank](https://www.hackerrank.com)
* [leetcode](https://leetcode.com)
*
## Job Titles & Traps
