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| # Fast AI Study Group | |||
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| As part of an internal study group aimed at getting a good overview of | |||
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nitpic - I'd define both acronyms (AI & ML) or neither.
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| As part of an internal study group aimed at getting a good overview of | ||
| AI and machine learning (ML), I conducted a deep dive into the world of | ||
| Jeremy Howard and [fast.ai](https://course.fast.ai/). |
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I don't think this was your intention but I found the repeated use of Jeremy Howard's name changes the tone of the piece from a response to a piece of his work, to a response to him personally. I've removed his name here and in a few other locations where it seemed superfluous.
| Jeremy Howard and [fast.ai](https://course.fast.ai/). | |
| [fast.ai](https://course.fast.ai/). |
| # Fast AI Study Group | ||
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| As part of an internal study group aimed at getting a good overview of | ||
| AI and machine learning (ML), I conducted a deep dive into the world of |
There was a problem hiding this comment.
I think the rest of the post uses we
| AI and machine learning (ML), I conducted a deep dive into the world of | |
| AI and machine learning (ML), we conducted a deep dive into the world of |
| AI and machine learning (ML), I conducted a deep dive into the world of | ||
| Jeremy Howard and [fast.ai](https://course.fast.ai/). | ||
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| Simply defined, fast.ai is a deep learning Python library that is |
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To improve its readability, this section could do with being broken up.
| Simply defined, fast.ai is a deep learning Python library that is | |
| ## What is fast.ai? | |
| Simply defined, fast.ai is a deep learning Python library that is |
| thus widens our technical horizon with new AI-related concepts. Some of | ||
| these concepts are not easy to grasp at first glance. | ||
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| It is preferable to practice after watching a course. For our practice |
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Again, this section could do with delimiting for clarity.
| It is preferable to practice after watching a course. For our practice | |
| ## Our experience | |
| It is preferable to practice after watching a course. For our practice |
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| ## Maths | ||
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| Some of the lessons explained by Jeremy Howard involve lots of maths. |
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| Some of the lessons explained by Jeremy Howard involve lots of maths. | |
| Some of the lessons in the fast.ai course involve lots of maths. |
| presentations and explanations of key neural networks concepts. In my | ||
| opinion, the channel offers a better understanding of neural networks. I | ||
| highly recommend their presentations, the quality is just incredible! |
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I'm only picking up on this because it's quite pointed feedback. By better, do you mean that it was easier to understand or that it delivered a deeper understanding?
| introduced by Jeremy Howard (convolutional layer, U-Nets, autoencoders, | ||
| etc). |
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| introduced by Jeremy Howard (convolutional layer, U-Nets, autoencoders, | |
| etc). | |
| (convolutional layer, U-Nets, autoencoders, etc.). |
| That is why we think that additional aids (other external online | ||
| courses) are required to give more detail. Looking at core concepts from | ||
| multiple perspectives is generally a crucial point in the learning | ||
| process. | ||
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| We are proposing a non-exhaustive list of adjacent material that we | ||
| believe will help in fully understanding the fast.ai course provided by | ||
| Jeremy Howard. |
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Minor point but no one can argue with your own lived experience (we found that) whereas you're opening yourself up to debate if you propose something.
| That is why we think that additional aids (other external online | |
| courses) are required to give more detail. Looking at core concepts from | |
| multiple perspectives is generally a crucial point in the learning | |
| process. | |
| We are proposing a non-exhaustive list of adjacent material that we | |
| believe will help in fully understanding the fast.ai course provided by | |
| Jeremy Howard. | |
| Looking at core concepts from multiple perspectives is generally a | |
| crucial point in the learning process. Therefore we are sharing the | |
| list of additional material that we found helpful in fully understanding | |
| the fast.ai course. |
| Challenge](https://www.youtube.com/watch?v=Souzjv6WfrY) | ||
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| [Building a ML Text to Image App with Stable Diffusion in 15 Minutes \| | ||
| Coding Challenge](https://www.youtube.com/watch?v=7xc0Fs3fpCg) |
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It's always worth adding a conclusion to a blog post to help the reader understand that it's the end of the post. A one sentence summary of the post, followed by some personal take on the content and a call to action is normally a decent formula.
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