The First Lesson From Upcoming Course on Real-World ML

No "Let's get right to it" ? My day will never be the same :(

No wonder the brief respite. You were in the trenches preparing quality course. You are the one Mike West who shed light on me concerning working on SQL skills heavily and began with data analyst as I climb up the ladder. I can feel a build up of skills that will certainly crystallize in a good career in DA. Erstwhile, I was neither here nor there and just scattered with no actual launching. One day I am in Python, the other I am in database, SQL, Java, Excel and so on. Sometimes the university education in computer science confuses someone since you are required to know everything at a go.

I am obsessed with your videos and the knowledge you provide to us.

FINALLY!!! I was wondering where you went

Great work sir

Very informative and engaging video Mike🙂

8:15 Sorry, but I think that algorithm is a general term, even at the machine learning level. It could mean the instructions that make the computer learn and produce the model , or it could be the instructions that the model follows in order to make predictions. if you read this i want to say Thanks for the videos

You have a video about barrier to entry in ML from a year ago. Have things changed or still no chance for under grads

Hey Mike, I'm currently trying to be a DA here in the UK with the goal to work as a MLE in the US. At what stage do you think I should start applying for jobs in the US?

If SQL is what is needed for structured data, what is used when workkng on unstructured data/ deep learning models? Is it Python?

Do you have an intention of adding Data Engineering course on your platform, especially after you said it has more advantages than Machine learning? What extra skills are required for MLOps, that are not required in ML. After advancing in the DA role in the real world, can I just shoot straight and learn MLOps?

no wonder you haven't been around

Mike, how about another classic "I told you so" video, about the words of Elon Musk on AI/ML models: "What is the source (in AI)? It is basically a giant CSV file, with a bunch of numbers... The lines of code is very small... Most of the software work is on the curation of the data... separating good data from bad data." C'mon! Lex Fridman Podcast #400 | Elon Musk | ~ 1h28 | https://youtu.be/JN3KPFbWCy8?&t=5321