Hello everyone!
I started the course in October and have been powering through it ever since. The top-down approach is unlike anything I’ve encountered before and has made the course one of the most valuable learning experiences I’ve had so far.
I wish everyone great success in the course and their future endeavors.
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I am from Dallas, TX in US. I am very keen on learning Deep learning.Started the course in just today.
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Hi everyone,
Darasimi from Lagos, Nigeria here. Just got through the first chapter of the course and it has been the most enlightening DL learning experience for me.
I look forward to create as many project as I can while taking the fastai course. I’m certain that will be the huge difference between this course and the other ML and DL courses I’ve taken. The fastai course is extremely project oriented and I love the top-down approach, it helps keep motivation alive. And like Jeremy said in ‘Lesson 0’ I really hope I finish the “damn” course and do it participatorily.
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Adopt the standard data flow
Users frequently enter data into one table. That data flows between various tables during different processes. For example, information that you enter in master or supplemental tables moves into document tables to journal tables and then finishes in the ledger tables.
Master table data flow
When users create master tables, most information in the table is entered directly by the user, whereas some information might come from other tables. During master table creation, most of the default settings are assigned from supplemental tables.
For example, when you select an Item Category Code for a record in the Item table, the application automatically assigns the default Gen. Product Posting Group, VAT Prod. Posting Group, Inventory Posting Group, and Costing Method to the item, as defined in the selected item category.
The following figure shows the flow of data between tables during the creation of master records.
Typically, master tables contain many fields that have relationships to other tables, such as supplemental and other master record tables. When you enter values in these fields, the application might take default values from related tables and assign them to the master record. In addition, when you enter subsidiary information for a master record, some master record fields might be taken into the subsidiary table.
During master record creation, certain defaults are checked in the setup table for the application area. At a minimum, this check includes the number series but might include many default checks or business rule validations.
Hi everyone. I’m residing in Atlanta, Georgia and currently pursuing my Master’s in Electrical and Computer Engineering.
While there are many online courses and resources available on DL, it’s rare to find one that truly resonates and stands out. I’ve only been enrolled in this course for a week, and I can already say it’s one of those exceptional ones. Thank you, @jeremy, for sharing your expertise!
I’m looking forward to connecting with like-minded individuals who are also just starting out so we can discuss and engage with the course material together.
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Good work on the blog!
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Hi all, my name is Dana Peters, I am a MRI scientist at Yale, wanting to learn more about ML! these are great classes so far.
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Hi All!
I don’t know if I am writing in the right place but I am High School teacher and a Freelance programmer. I am newcomer to the IA world and I reading your book so that I improve and stabilize my know-how.
Actually, I am planning to teach IA to High School student in the Computer Science class
Best regards,
Stefano Lenzi
P.S.: Please let me know if there is any right place for the reader of the book
Hello everyone!
I have 20 years of experience as an electrical engineer / systems engineer and turned to data science 3 years ago as a data scientist. I’m mostly doing Power BI in my day job (so mostly data analyst type of stuff) but I really want to do more machine learning, hence this course.
I’m a big believer in the “learning by doing” approach adopted by fast.ai and I already have two AI projects under my belt: one failed analytical AI and one successful RAG chatbot now used by 280 people.
I’m hoping to broaden my ML knowledge with this course, especially deep learning which I don’t have much experience with. Once special interest of mine is time series as this is relevant to my field of work. As a practical project, I’d like to use deep learning for algorithmic trading, which would combine my interest in time series and deep learning.
I saw the “why you should blog” article and I’m actually writting my first blog post about online platforms for GPU computing. Let me know if that sounds interesting!
www.linkedin.com/in/prdubois/
@prdubois on X
Looking forward to learning and growing with all of you in this course!
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G’day everyone!
I’m Raffy from Melbourne AU and I’m a doctor who likes tinkering with all things technology (which recently has meant learning the basics of Python).
I was doing an online course as a part of my sabbatical that required the manual coding out of NN architectures (and getting lost in the code since I’m so new to Python) that a friend mentioned this code. Just the demo in Lesson 1 was so mind-blowing! That would’ve taken me hours to do in the previous method I was learning!
I’m looking forward to completing the course and seeing how I can apply AI in practical settings.
I’m most active on instagram over @photosbyraffy
Lovely to “meet” everyone!
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Hey everyone,
Myself Satwik Sunnam, I’m a student pursuing master’s in AI at University Of Bridgeport, my journey of AI started at my bachelors, I built some cool pet projects like Movie Recommendations, Meeting Summarizer at those time and I’ve worked in few companies as an Intern and FTE back in India. I’ve come here to refresh the memory of DL and get on track, till now the course seems pretty interesting and learning from @Jeremy is a blessing. Thanks for making the course accessible for free to all people. My twitter is SatwikSunnam
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Hi everybody,
My name is Anatoly Buchin, I like to tinker various things, especially the ones related to noisy data and complex models. I have a PhD in computational neuroscience, worked in Academic research, then drug discovery and now part of bio-AI startup in Seattle in United States. I have experience with deep learning, but many concepts got rusty and I would like to refresh and re-learn the new ones (excited about diffusion). I am super excited about applications of ML and deep learning for biology, in particular for omics data to help treating diseases.
I am glad to connect, learn from all of you and help others learn.
Thank you for share this information,…Marion County Florida Property Search
Hello everyone,
I’m Amith, I’ve been a mobile/web engineer for almost a decade now! Super eager to learn Deep learning and use it to solve a problem I’m facing at work. We are trying to digitise and interpret invoices for supermarkets. The main problem is recognising tables in an image and then making sense of it! Super excited to learn with all of you and solve this problem for our customers!
I’d be happy to help with anything Javascript/Webdev/Mobile 
Hello all,
My name is Erb and i’m a software engineer(BE web dev). I believe that AI/ML is the future and i’m super excited to dive and get my hands dirty learning how it all works/how to make it!
Best regards,
Erb
Hello All,
I am Sagar here, I have over 20 years of experience in Enterprise IT solutions in telecom and Supply chain domains. I am working as a senior manager, but at core I am a techno-functional guy, I like to solve problems using coding and have been looking to learn AI/ML. bumped to FastAI course and completed first 3 chapters in the book and the videos, I am super happy so far and excited to continue the course and see where it leads to me!
Looking forward to connect with new friends & mentors and opportunities in AI/ML.
Keep Learning
Sagar
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From Economics to ML: Building My First Classifier
Hi everyone! I’m a Venezuelan economics graduate currently based in Toronto, making an exciting transition from operations/business into the technical world of ML.
What brings me here is a deep desire to shift from a status-seeking mindset to becoming a true builder. There’s a story that really inspired this change: When Forrest Mars (of M&M’s fame) was starting out, he said something that stuck with me - he could always hire finance people or lawyers, but he needed to learn how to make chocolate himself. That really resonated with me about ML - in today’s world, understanding how to build ML models is like knowing how to “make the chocolate.”
Fittingly enough, I just completed my first ML model - an image classifier that identifies M&M’s from other chocolates! Started with the bird classifier from Chapter 1 and adapted it. Getting that 90% accuracy felt incredible - like writing my first “Hello World” but for AI.
I’m excited to learn alongside this community and gradually build more complex things. My background isn’t technical (spent time as a Chief of Staff at a startup), but I’m fascinated by the intersection of ML, fintech, and building useful things that create value.
Looking forward to learning from everyone here!
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Hello there, I am an undergrad studying Naval Architecture. I am quite fascinated with AI and to be able to make practical applications that will solve a problem or is just freaking cool. It would be an honour to go on this journey with you all.
By the way, it would be nice to have a study partner. Anyone wanna team up? That would be nice. Good luck to all.
I’m new in this forum, my name is jerry sosin.