diff --git a/Introduction/1-intro-to-ML/README.md b/Introduction/1-intro-to-ML/README.md index 53178fe2..46f6c330 100644 --- a/Introduction/1-intro-to-ML/README.md +++ b/Introduction/1-intro-to-ML/README.md @@ -1,7 +1,5 @@ # Introduction to Machine Learning -Add a sketchnote if possible/appropriate - [![ML, AI, Deep Learning - What's the difference?](https://img.youtube.com/vi/lTd9RSxS9ZE/0.jpg)](https://youtu.be/lTd9RSxS9ZE "ML, AI, Deep Learning - What's the difference?") > Click this image to watch a video discussing the difference between Machine Learning, AI, and Deep Learning. @@ -15,43 +13,13 @@ Describe what will be covered [![Introduction to ML](https://img.youtube.com/vi/h0e2HAPTGF4/0.jpg)](https://youtu.be/h0e2HAPTGF4 "Introduction to ML") > MIT's John Guttag introduces Machine Learning - -### Prerequisite - -What steps should have been covered before this lesson? - ### Preparation -Preparatory steps to start this lesson - ---- - -[Step through content in blocks] - -## [Topic 1] - -### Task: - -Work together to progressively enhance your codebase to build the project with shared code: - -```html -code blocks -``` - -✅ Knowledge Check - use this moment to stretch students' knowledge with open questions - -## [Topic 2] - -## [Topic 3] +Before embarking on this curriculum, you need to have your computer set up and ready to run notebooks locally. Learn more about how to do this in this [set of videos](https://www.youtube.com/playlist?list=PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6) ## 🚀Challenge - -Add a challenge for students to work on collaboratively in class to enhance the project - -Optional: add a screenshot of the completed lesson's UI if appropriate - ## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/2/) ## Review & Self Study -**Assignment**: [Assignment Name](assignment.md) +**Assignment**: [Get Up and Running](assignment.md) diff --git a/Introduction/1-intro-to-ML/assignment.md b/Introduction/1-intro-to-ML/assignment.md index 18b5c37a..fadcebf9 100644 --- a/Introduction/1-intro-to-ML/assignment.md +++ b/Introduction/1-intro-to-ML/assignment.md @@ -1,9 +1,5 @@ -# Assignment Name +# Get Up and Running ## Instructions -## Rubric - -| Criteria | Exemplary | Adequate | Needs Improvement | -| -------- | --------- | -------- | ----------------- | -| | | | | +In this non-graded assignment, you should get your Python environment up and running and able to run notebooks. Take a look at these videos to help you get setup: https://www.youtube.com/playlist?list=PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6 diff --git a/Introduction/2-history-of-ML/README.md b/Introduction/2-history-of-ML/README.md index fed3e3a9..5f72e6aa 100644 --- a/Introduction/2-history-of-ML/README.md +++ b/Introduction/2-history-of-ML/README.md @@ -1,13 +1,12 @@ -# History of Machine Learning and AI +# History of Machine Learning Add a sketchnote if possible/appropriate -[![The history of AI by Amy Boyd](https://img.youtube.com/vi/EJt3_bFYKss/0.jpg)](https://www.youtube.com/watch?v=EJt3_bFYKss "The history of AI by Amy Boyd") ## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/3/) In this lesson, we will walk through the major milestones of the history of Machine Learning and AI. -The history of Artificial Intelligence as a field is intertwined with the history of Machine Learning, as the algorithms that underpin ML fed into the development of AI. It is useful to remember that, while AI as a field of inquiry began to crystallize in the 1950s, important [algorithmical, statistical, mathematical and technical discoveries](https://wikipedia.org/wiki/Timeline_of_machine_learning) predated and overlapped this era. +The history of Artificial Intelligence as a field is intertwined with the history of Machine Learning, as the algorithms and computational advances that underpin ML fed into the development of AI. It is useful to remember that, while these fields as distinct areas of inquiry began to crystallize in the 1950s, important [algorithmical, statistical, mathematical, computational and technical discoveries](https://wikipedia.org/wiki/Timeline_of_machine_learning) predated and overlapped this era. ## Notable Discoveries @@ -23,7 +22,7 @@ The history of Artificial Intelligence as a field is intertwined with the histor ## 1950: Machines that Think -Alan Turing, a truly remarkable person who was voted [by the public in 2019](https://en.wikipedia.org/wiki/Icons:_The_Greatest_Person_of_the_20th_Century) as the greatest scientist of the 20th century, was +Alan Turing, a truly remarkable person who was voted [by the public in 2019](https://en.wikipedia.org/wiki/Icons:_The_Greatest_Person_of_the_20th_Century) as the greatest scientist of the 20th century, is credited as helping to lay the foundation for the concept of a 'machine that can think'. ## 1956: Dartmouth Research Project @@ -80,6 +79,8 @@ better able to frame question AI started as a single area, now there are many parts and they cross-collaborate + + [![The history of Deep Learning](https://img.youtube.com/vi/mTtDfKgLm54/0.jpg)](https://www.youtube.com/watch?v=mTtDfKgLm54 "The history of Deep Learning") > Yann LeCun discusses the history of Deep Learning in this lecture @@ -94,6 +95,10 @@ Optional: add a screenshot of the completed lesson's UI if appropriate ## Review & Self Study -[Check out this podcast where Amy Boyd discusses the evolution of AI](http://runasradio.com/Shows/Show/739) +Here are two items to review: + +[This podcast where Amy Boyd discusses the evolution of AI](http://runasradio.com/Shows/Show/739) + +[![The history of AI by Amy Boyd](https://img.youtube.com/vi/EJt3_bFYKss/0.jpg)](https://www.youtube.com/watch?v=EJt3_bFYKss "The history of AI by Amy Boyd") **Assignment**: [Create a timeline](assignment.md)