Many people think any given ML project is 99% training.
In reality, it’s 50% evaluation, 40% data cleaning, 8% integration, and 2% training.
The first two set the noise floor for learning. No ML magic matters; the model cannot lower the noise floor, as that’s the optimal bound of Shannon encoding of your data.
Thus, not a single day goes by without me thinking about ontology. Even the old labels have to be constantly reviewed.
Many Kenyans don't know that they can invest in global companies like Nvidia, Tesla, Meta, Amazon, Netflix, etc
In this thread I answer the frequently asked questions about investing in offshore stocks & ETFs as a Kenyan.
1/ What's the minimum investment required?
Many Kenyans don't know that they can invest in global companies like Nvidia, Tesla, Meta, Amazon, Netflix, etc
In this thread I answer the frequently asked questions about investing in offshore stocks & ETFs as a Kenyan.
1/ What's the minimum investment required?
Here is a simple illustration of some select NSE stocks performance over the last 10 years, without the dividends.
Investing is borderless and you are not limited to this kind of poor performance. Cast your nets wider.
@DushiNjenga Growing up I was interested in knowing Kenya, so I have worked and had experience of close to five Kenyan regions. I'm glad to say that it changed my perspective of different aspects of life and improved both my social and emotional intelligence.