Since the beginning of the last month, I have started to produce video content about LangChain. Video content is easier to engage with on a complex topic like ML. Also, because I consider the AiEdge Newsletter an educative platform for Machine Learning, I think it is better to learn if the content builds from the one of the past week to have more continuity in the learning experience.
Being new to AL/ML, the first thing I have noticed is there is little focus on working with data, but when I talk to seasoned data scientist its where they spend the bulk of their time.
All the training I have seen and worked through has always used pre-formated datasets, so of course, when I started my first real-world project and had to work with raw data I was struggling to get it formatted correctly and optimally.
Most software engineers I show these datasets to are completely unfamiliar with their structure and how to use them.
Second.
Being new to AL/ML, the first thing I have noticed is there is little focus on working with data, but when I talk to seasoned data scientist its where they spend the bulk of their time.
All the training I have seen and worked through has always used pre-formated datasets, so of course, when I started my first real-world project and had to work with raw data I was struggling to get it formatted correctly and optimally.
Most software engineers I show these datasets to are completely unfamiliar with their structure and how to use them.