machine-learning-for-dummies
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Published
20 hours ago •
mr-ubik
mr-ubik
Series of talks/workshops aimed at guiding newcomers through Python basics, Data Analysis and Machine Learning.
Machine Learning For Dummies
Index
-
Machine Learning For Dummies
- Index
-
Episode 1: A Pythonic Hope
- E1: Information
- E1: Contents
-
Episode 2: Python Strikes Back
- E2: Information
- E2: Contents
-
Episode 3: Return of the Tensor
- E3: Information
- E3: Contents
- Dates :calendar:
- Show Some :heart:
Episode 1: A Pythonic Hope
E1: Information
- Type: Talk
- Level: Beginner
- Duration: 2-3 Hours with a Break
- Prerequisites: Little bits of programming knowledge may help you understand some of the horrible jokes I make
- Technical Requirements: None
-
Materials:
- Jupyter Notebook
- PDF - [COMING SOON]
E1: Contents
- Machine What?
- Don't believe the hype
- GG EZ
- The Data Jedi Path
- Python: Learning to love Snakes
- General overwiew of the language
- Pythonic Syntax and Style
- Pythonic Objects
- Strings' Theory
- Python as a calculator
- Logical Python
- Lists
- Tuples
- Dictionaries
- The Code Must Flow
- Functions
- Import Antigravity
- Python Mind Tricks
- Use Python Luke!
- Royal Rumble
- The Python Data/Scientific Ecosystem
- Kong Fu Pandas [COMING SOON]
- Data Plumbing
- Data Porn
- WE ARE LEGION
- From Dask till dawn [COMING SOON]
- Twinke twinkle little Spark [COMING SOON]
- 010010 TOTALLY NOT A CHAPTER ON ROBOTS - END OF TRANSMISSION [COMING SOON]
- De Naturalis Lingua [COMING SOON]
Episode 2: Python Strikes Back
E2: Information
- Type: Workshop
- Level: Beginner - Intermediate
- Duration: 2-3 Hours with a Break
- Prerequisites: Basic Python Notions (see Episode 1: A Pythonic Hope)
-
Technical Requirements:
- Docker
- Custom Docker Image (COMING SOON)
- GitHub Account
- Join the machine-learning-for-dummies Gitter Room for all communications and technical discussion regarding the Machine Learning for Dummies series!
- Watch (and if you like it :star:) the Machine Learning For Dummies Repo
-
Materials:
- Docker Lightning talk pdf
- Custom Docker Image - [COMING SOON]
- Jupyter Notebook - [COMING SOON]
E2: Contents
- Why we like whales: Introduction to docker by @federicoB
- Enter the Mad Scientist lab: IPython + Jupyter (lab)
- Numpy and the Masters of the vector-verse: From lists to vector
- Of Snakes and Pandas: Pandas Dataframe 101
- Nom Nom Nom: Ingesting Data
- Pandarellas - Becoming Cinderellas with Pandas 1: Cleaning
- Pandarellas - Becoming Cinderellas with Pandas 2: Transformation
- Bow Chicka Wow Wow: Introduction to Data Porn (also known as Data Visualization)
Episode 3: Return of the Tensor
E3: Information
- Type: Talk
- Level: Intermediate
- Duration: 2-3 Hours with a Break
- Prerequisites: Numpy and Pandas basics
-
Materials:
- Introduction to Machine Learning
- Deep Learning introduction with Tensorflow
E3: Contents
-
Introduction to Machine Learning 0. What is Machine Learning?
- Why Use Machine Learning?
- Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Semi-Supervised Learning
- Reinforcement Learning
- Machine Learning Challenges
-
Glimpsing at: scikit-learn [COMING SOON]
- An exceptional API [COMING SOON]
- Machine Learning true Workhorse [COMING SOON]
- Showcase: Diabetes [COMING SOON]
Dates :calendar:
- [x] 25/11/2017 - Episode 1: A Pythonic Hope - @ImpactHub, Reggio Emilia, Italy
- [x] 30/11/2017 - Episode 1: A Pythonic Hope - @LuogoComune, Bologna, Italy
- [x] 30/01/2018 - Episode 2: Python Strikes Back - @LuogoComune, Bologna, Italy
- [x] 20/02/2018 - Episode 2: Python Strikes Back Remastered [Replica] - @LuogoComune, Bologna, Italy
- [x] 22/06/2018 - Episode 3: Return of the Tensor - @LuogoComune, Bologna, Italy
mr-ubik