<jupyter_start><jupyter_text>UCF MSDA ML Seminar Series Kickoff**<NAME>****2020-09-04** Outline:- Welcome!- Seminar Series overview    - Canvas    - GitHub    - Badges/requirements    - Preliminary Schedule- More Jupyter    - What *is* Jupyter?    - What *is* a Jupyter notebook?    - What can go inside a Jupyter notebook?    - Notebook interfaces: Google Colab- Computer Vision in X minutes    - Image classification    - Image segmentation    - Peek under the hood: convolutional neural networks  Seminar Series Overview Instructors- Dr. <NAME>- Dr. <NAME>- (soon to be Dr.) <NAME>- Potentially others> Also, credit goes to Dr. <NAME> and <NAME> for support and hard work helping with administration!  Participants- Current MSDA students- Graduated MSDA students (our growing alumni!)  Goals- Give participants **hands-on** experience using techniques/theories learned in MSDA courses- Transfer knowledge of best practices- Engage in personal projects to hone skills- Build community of practitioners that can support one another's work> Selfish goal: train you to become type of practitioner I'd like to hire!>> Disclaimer: this is in no way an extension of a job offer or commitment on either end, just a note to provide context!  Rewards**UCF Machine Learning badge**- Official digital badge awarded to qualifying (see below) students - Can attach to resume/social media profile- Will link to page describing requirements for earning badge- Signal to potential employers/colleagues that you know your stuff!> Also you'll gain the confidence that *you* **can** do state of the art work!  Resources- Canvas: https://ucfce.instructure.com/courses/1549426- GitHub: https://github.com/sglyon/UCF-MSDA-ML-Seminar- Communication?? We've done slack in the past, instructors can be flexible  Jupyter NotebooksThe file I'm using is a Jupyter notebookWhat is it?2 parts: **Jupyter** and **notebook**  JupyterThe name Jupyter is mashup of **Ju**lia, **Pyt**hon and **R**: three of the most popular languages for technical computing and data analysisThe Jupyter project...> exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.>> https://jupyter.org  ComponentsJupyter has a few components:- A *protocol* for interactive communication across programming languages- A *kernel* specification for languages to implement and *hook in* to Jupyter ecosystem- A *notebook* document format  Notebook- The Notebook document format is a custom JSON document (see plain text)- Used by many frontends to interact with computational documents:    - Jupyter notebook/Jupyter lab: flagship first-party interfaces    - Nteract: desktop application    - Pycharm/VS Code/Atom: Editor/IDE integration  Notebook ContentRich, formatted text (using markdown):- Lists (like the one we are in)- **bold**, *italic*, ~~strikethrough~~- Math equations: $V(a) = \max_{c, a'} u(c) + E[V(a')]$- Images, videos, etc. And code (with outputs!):<jupyter_code>import matplotlib.pyplot as plt
plt.style.use("ggplot")
plt.plot([x**2 for x in range(-5, 5)]);<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08930857874519846, 'fraction_numerical': 0.006081946222791294, 'mean_word_length': 4.681818181818182, 'pattern_counts': {'":': 0, '<': 11, '<?xml version=': 0, '>': 19, 'https://': 3, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '126626', 'license': 'MIT', 'n_tokens_mistral': 886, 'n_tokens_neox': 829, 'n_words': 391, 'path': '2020-09-04__Colab_ComputerVision/01_index.ipynb', 'repo_name': 'sglyon/UCF-MSDA-ML-Seminar', 'size': '3159'}