Not a very inspiring title right now. But here's where we are.
As far as comedy goes I have to come up with some new jokes:
Set jokes:
Set up - 40 sec. - 3 too long
Starter - 3 Joke
Disposable Income - 1 Joke
Detroit/Germany ...
-- Detroit Joke -- 1 Joke/ Harmonica Meth Joke - 2 (Test this tonight. Try to combine it)
-- Germany Joke - 3
Sanford and Son - 2 Joke
L. Ron Hubbard - 3 Joke (We'll see - Only a One check joke)
In order to do this correctly I'll have to kick up the Disposable Income Joke and the Detroit Joke. That'll get this set to completion.
Continuous Learning:
This is my real dilemma.
I have this thing I do where I take a long time to do things. For instance, right now I have enough to actually work through some Equilend specific projects but I want to finish this Intro to ML and complete the task. I also want to complete the Coursera course that allows me to learn about the math behind ML. So this is my ideal path of learning.
Reasonably I could do this:
Ok. Sounds good.
So today's play is:
As far as comedy goes I have to come up with some new jokes:
Set jokes:
Set up - 40 sec. - 3 too long
Starter - 3 Joke
Disposable Income - 1 Joke
Detroit/Germany ...
-- Detroit Joke -- 1 Joke/ Harmonica Meth Joke - 2 (Test this tonight. Try to combine it)
-- Germany Joke - 3
Sanford and Son - 2 Joke
L. Ron Hubbard - 3 Joke (We'll see - Only a One check joke)
In order to do this correctly I'll have to kick up the Disposable Income Joke and the Detroit Joke. That'll get this set to completion.
Continuous Learning:
This is my real dilemma.
I have this thing I do where I take a long time to do things. For instance, right now I have enough to actually work through some Equilend specific projects but I want to finish this Intro to ML and complete the task. I also want to complete the Coursera course that allows me to learn about the math behind ML. So this is my ideal path of learning.
- Finish Intro to ML
- Coursera: Math behind ML
- FB - PyTorch
- Deep Learning (Udacity)
Reasonably I could do this:
- Finish Intro to ML
- Put together Trade Probability Project ($$$)
- Put together Rejected Trades Project ($$$)
- Put together Tiered Trade Project ($$$)
- Coursera: Math behind ML
- Deep Learning (Udacity)
Ok. Sounds good.
So today's play is:
- Rewrite Jokes
- Work through Text Learning
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