What you would learn in Machine Learning System Design Interviews: Get Skilled course?
As we begin learning Machine Learning, our primary goal is to build the model! The data is usually well-organized and prepared, and the job is usually an easy classifier or regressor. We are constantly learning new models and the mathematics behind them!
We have to frame the issue as a machine learning issue! The data we need is the appropriate annotations. We will likely have to perform lots of cleaning or preprocessing of the data. Then comes the model! One of the most challenging steps for users is deploying the model and integrating it into an item!
In the course we will concentrate on highlighting every machine learning process:
Solutions to the problem
Data: Collection and annotation
Metrics for offline and online
What can you expect from this course:
To highlight the machine learning process, not only the modeling!
To gain deep insight into what it takes to create an ML system!
An excellent reference of questions you can ask yourself when you are working on your projects
To prepare to be ready for to be prepared for ML system design and design interviews!
This is, in fact, the primary concern and is the driving force behind the content.
Interactive content: Question and Answer
If you're not familiar with machine learning, then this training course not appropriate for you.
If you are building models of ML, This course might not be suitable for you.
If you're building some projects or have non-trivial Kaggle competitions, this course is ideal.
If you have built a business and have some market experience, This course is an absolute necessity for you.
Don't take my ideas for granted. Make them a challenge. Brainstorm during the QA section.
I do not explain the machine-learning concepts. I highlight the concepts. It's your job to highlight them.
You will encounter many different terms
Machine Learning System Design Interviews
Machine Learning Pipeline
Concepts to begin learning more about them
Interactive interviewer-interviewee dialogue
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