Independent Dissident. I don’t follow “The Science” (TM). I follow the Data. –“When there is no such thing as truth, you can’t define reality. & when you can’t define reality, the only thing that matters is power.” — Maajid Nawaz
Don’t follow the herd, follow your own internal compass
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"Veritas vos liberabit"
"The comes a time when one must take a position that is neither safe, nor politic, nor popular, but one must take it because it is right." -- Dr. Martin Luther King
"Rättvisa handlar inte om lika utfall, utan om lika spelregler" -- Alice Teodorescu
“The mediocre teacher tells. The good teacher explains. The superior teacher demonstrates. The great teacher inspires.” ― William Arthur Ward
When the facts change, I change my mind. What do you do, sir?" -- John Maynard Keynes
""Don't attribute to stupidity what can be adequately explained by a contract." -- Anonymous
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"I must study politics and war that my sons may have liberty to study mathematics and philosophy and they in turn must study those subjects so that their children can study painting, poetry, music, architecture, statuary, tapestry, and porcelain." -- John Adams, Americas II president
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“It is difficult to get a man to understand something, when his salary depends on his not understanding it.” -- Upton Sinclair
"I do not agree with what you have to say, but I'll defend to the death your right to say it." -- VoltaireSystems view
"Our organization was designed for a problem that no longer existed; we had brought an industrial age force to an information-age conflict." --Stan McChrystal- A/B Testing
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Category Archives: AI
Artificial Intelligence, GPT-3 : Friend or Foe ?
Recent developments in Natural Language Processing opens up for either a wonderful or terrible future….
New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine
A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn. — Läs på http://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921/
Posted in AI, development, Machine Learning
Tagged Artificial Intelligence, Machine Learning, Neural networks
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Scientific Gambling on Ice Hockey Worlds – Bets for games of May 5th
Summary I’m using mathematical & statistical methods, more specifically, Bayesian Inference, Markov Chain Monte Carlo, simulation and Probabilistic Programming, attempting to predict the game outcomes of the upcoming Ice Hockey World Championships, starting May 4th. Based on the findings of … Continue reading
Posted in AI, Bayes, Big Data, Business, Data Analytics, Data Driven Management, Gambling, HOCKEY-2018, Math, Numpy, Probability, PYMC, Python, Statistics
Tagged Bayes, Big Data, Data Analysis, Gambling, HOCKEY-2018, Math, Matplotlib, Numpy, Probability, PYMC, Python, Scipy, sports, Statistics
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2018 Ice Hockey World Championships – predicted outcomes
Here’s the first real prediction from my Bayesian Inference Engine, on results for the upcoming Ice Hockey World Championships, starting in about 3 weeks from now. As usual, there are 16 teams, split into two groups: Group A : [‘RUS’,’SWE’,’CZE’,’SUI’,’BLR’,’SVK’,’FRA’,’AUT’] … Continue reading
Posted in AI, Bayes, Data Analytics, Gambling, Math, Numpy, Probability, PYMC, Python, Statistics
Tagged Bayes, Data Analysis, Gambling, Numpy, Pandas, Probability, PYMC, Python, sports, Statistics
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Machine Learning – results
So, I reached the point where my Neural Network , after a couple of thousand training iterations, is capable of correctly identifying and separating different categories of input into their corresponding classes. More specifically, as “targets”, I’ve chosen a number … Continue reading
Posted in AI, development, Machine Learning, Neural networks, Society, Technology
Tagged AI, Artificial Intelligence, Machine Learning, Neural networks, Numpy, Python, Society, Technology
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Machine Learning – normalizing your inputs
Often it pays off to pre-process/normalize your input data before passing it further down the line of your Neural Network, eg. to get the range of input values into a scale more suitable for your network. Im experimenting with images, … Continue reading
Posted in AI, development, Machine Learning, Neural networks
Tagged AI, Artificial Intelligence, Neural networks, Numpy, Python
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Improving Python performance by factor of 100
I’m doing a bit of Machine Learning on my spare time. A neural network that analyzes images. Anyways, since I don’t have zillions of computing power, any decent amount of learning data takes hours and days to process thru my … Continue reading
The power of Machine Learning
https://www.theguardian.com/technology/2017/sep/07/new-artificial-intelligence-can-tell-whether-youre-gay-or-straight-from-a-photograph Machine Learning has an amazing ability to detect patterns where mere mortals fail to do so. As always, any technology can be used for good, as well as bad.
Posted in AI, Machine Learning, Neural networks
Tagged Artificial Intelligence, Machine Learning, Neural networks, Society
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Neural Networks – training the network using an SGD
In order to understand how my chosen strategy for finding new weights, namely an SGD, actually operates, I did a bit of analysis. The graph below shows the flow of one single input, in a trivial, “linear” neural network, with only … Continue reading
Posted in AI, development, Machine Learning, Neural networks
Tagged Artificial Intelligence, Matplotlib, Neural networks, Numpy, Python
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Artificial Superintelligence..
soon here to kill you…?
Posted in AI, development, Machine Learning
Tagged Artificial Intelligence, Machine Learning, Technology
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systems perestroika - éminence grise 