Machine Learning and Ketosis
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Machine Learning and Ketosis
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Re: Machine Learning and Ketosis
#2I've been doing ketosis for about 6 months, after having done twice in the past. From my heaviest to today over the last 2 years, I'm down 50 pounds.
The data in this post was cool. I found Dr. Peter Addia's analysis to be one of my favorite resources. He's a medical doctor who was an overweight endurance athlete, then began doing ketosis. I appreciated an honest scientific analysis of the benefits and drawbacks of ketosis.
His blog:
As an aside, I think that our attitude toward insulin from a public health perspective is going to change a lot in the next few years.
Re: Machine Learning and Ketosis
#3This is all good if your goal is weight loss. However weight loss doesn't necessarily means higher fitness. Glycogen is fundamental if you do sports, and exercise is a major ingredient in getting fit. If I read correctly, exercise was not a big part of your experiment, how would you suggest modifying the experiment to accommodate one's exercising needs?
On a side note, I reached a similar conclusion on the role of "carbs at night", sleeping, and fats, and I read this interesting article https://aeon.co/essays/hunger-is-psychological-and-dieting-o... on the importance, for effective weight loss, of feeling satisfied (I believe there is also a reference to the relationship between eating fats and feeling satisfied).
Re: Machine Learning and Ketosis
#4Among words correlated to weight-gain, the least correlated of these is cheeseburgers! Be still my heart (not literally)!
Re: Machine Learning and Ketosis
#5This is all good if your goal is weight loss. However weight loss doesn't necessarily means higher fitness. Glycogen is fundamental if you do sports, and exercise is a major ingredient in getting fit. If I read correctly, exercise was not a big part of your experiment, how would you suggest modifying the experiment to accommodate one's exercising needs? On a side note, I reached a similar conclusion on the role of "c…
I'm in ketosis. I can tell when the glycogen in my liver depletes. I hit a wall and can't keep going. I find that it has to do with intensity - for low intensity exercise, I can go forever. When I have to exert more (like running up an SF hill), it depletes me more.
To fix this, you more or less have to keep intensity lower. I think that's why it works well for bicyclists who can change gears.
Good news is that, after endurance exercise, you can replenish glycogen stores - meaning you can have more sugar than normal without leaving ketosis.
Re: Machine Learning and Ketosis
#6This is all good if your goal is weight loss. However weight loss doesn't necessarily means higher fitness. Glycogen is fundamental if you do sports, and exercise is a major ingredient in getting fit. If I read correctly, exercise was not a big part of your experiment, how would you suggest modifying the experiment to accommodate one's exercising needs? On a side note, I reached a similar conclusion on the role of "c…
Doesn't it depend on what type of sport you play? If you're doing marathons wouldn't ketosis work? and if you're doing high intensity, and short bursts ketosis might not be the best choice?
Re: Machine Learning and Ketosis
#7This is all good if your goal is weight loss. However weight loss doesn't necessarily means higher fitness. Glycogen is fundamental if you do sports, and exercise is a major ingredient in getting fit. If I read correctly, exercise was not a big part of your experiment, how would you suggest modifying the experiment to accommodate one's exercising needs? On a side note, I reached a similar conclusion on the role of "c…
http://www.ncbi.nlm.nih.gov/pubmed/24979615
TL;DR A ketogenic diet is net-positive for aerobic exercise activities.
Re: Machine Learning and Ketosis
#8Interestingly "gioza" and "gyoza" as factors come out with opposite signs. I guess that provides a heuristic confidence interval for the weights.
Re: Machine Learning and Ketosis
#9Very interesting littlw study. The results seem to make sense, and I'm impressed that his model can learn what causes his weight swings given the low resolution delta-weight data he collects.
The author uses vowpal-wabbit to train his regression model. Anybody know what learning algorithm it uses (eg random forest?) Here's the link: https://github.com/JohnLangford/vowpal_wabbit/wiki
Re: Machine Learning and Ketosis
#10Very interesting littlw study. The results seem to make sense, and I'm impressed that his model can learn what causes his weight swings given the low resolution delta-weight data he collects. The author uses vowpal-wabbit to train his regression model. Anybody know what learning algorithm it uses (eg random forest?) Here's the link: https://github.com/JohnLangford/vowpal_wabbit/wiki
Seems to be a slightly modified Stochastic Gradient Descent to handle the data typically seen with this sort of analysis. https://github.com/JohnLangford/vowpal_wabbit/wiki/Learning-...