FinBlock.AI @FinBlockAI
Connecting #finance and #technology |#MachineLearning #AI in making sense of different data |Valuable decision making is taking over the news and events' speed. myfinanceblock.azurewebsites.net Joined September 2018-
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Kernels is all you need: "Kernel methods don’t overfit and do generalize well to test data without any need for regularization, similar to neural networks and contrary to what you’d expect from traditional learning theory." #AI #MachineLearning quantamagazine.org/a-new-link-to-…
@FunkyHedge @Quant_Investor Nice publication with academic decorations. But decomposition into components, tricks with kernels always gave very good results. Better and faster with online KPCA tricks. #AI #MachineLearning github.com/google-researc…
RT @AppliedMLdev : Performers. Using only linear space and time complexity. It looks like that's all. #AI #MachineLearning arxiv.org/abs/2009.14794
Artificial intelligence is just applied automation, including machine learning techniques
According to @lopezdeprado: In 1899 K. Pearson wrote a paper warning that Correlation is not Causation. While most statistics books incorporate this warning in the first chapter, subsequent chapters tend to ignore it. Theories matter. #investments #finance
According to @lopezdeprado: In 1899 K. Pearson wrote a paper warning that Correlation is not Causation. While most statistics books incorporate this warning in the first chapter, subsequent chapters tend to ignore it. Theories matter. #investments #finance https://t.co/r2MLfs86yb
Extrapolating the spectacular performance of GPT3 into the future suggests that the answer to life, the universe and everything is just 4.398 trillion parameters.
Just follow the cash flow. #investments
The financial analysis, as acknowledged by its author B. Graham, actually became useless in 1975. The time of quantitative analysis methods had begun. The question is data quality and a return to the origins of game theory and speculation - Louis Bachelier. #AI #ML #investments
The financial analysis, as acknowledged by its author B. Graham, actually became useless in 1975. The time of quantitative analysis methods had begun. The question is data quality and a return to the origins of game theory and speculation - Louis Bachelier. #AI #ML #investments
@AppliedFinMeth @MxQuantInvestor @lopezdeprado Pure numerical methods are how to enter through the window when there is a door. Well, thanks to statistics, you can be at the wrong time and in the wrong place
RT @Real__Finance : Which side : up or down?
RT @Real__Finance : Which side : up or down?
Just follow the cashflow federalreserve.gov/newsevents/pre…
RT @AppliedFinMeth: Modern financial markets have turned into isolated tournaments, distant from real processes. Prices will fly due to the slightest sneeze and tweets without regard to macro indicators. Actually about this was said back in 1975 by B.Graham - Buffett's teacher.
RT @AppliedMLdev : Semantic analysis. Modern Approach in action. #AI #MachineLearning #Finance
RT @AppliedMLdev : Semantic analysis. Modern Approach in action. #AI #MachineLearning #Finance
In fact, the hype created and used to enrich. The Senate’s newest member sold off seven figures’ worth of stock holdings in the days and weeks after a private, all-senators meeting on the novel coronavirus that subsequently hammered U.S. equities. thedailybeast.com/sen-kelly-loef…
In fact, the hype created and used to enrich. The Senate’s newest member sold off seven figures’ worth of stock holdings in the days and weeks after a private, all-senators meeting on the novel coronavirus that subsequently hammered U.S. equities. thedailybeast.com/sen-kelly-loef…
Compared to the year 1921, regulators simply learned to mitigate the fall.
Compared to the year 1921, regulators simply learned to mitigate the fall.
There is only one pattern. With the constant release by the American casino of new chips, which are called dollars, the amplitude of fluctuations of everything that is subject to monetary valuation increases. Compare, for example, with the situation between 1921 and 1975.
There is only one pattern. With the constant release by the American casino of new chips, which are called dollars, the amplitude of fluctuations of everything that is subject to monetary valuation increases. Compare, for example, with the situation between 1921 and 1975.
Sorry, but what is usd?
@jinchoice @FinQuantBlock @lopezdeprado Green - is a typical overfitting, black - SVM/SVR. Typical example. No python, C++ SIMD optimized, 10.000 data points: SVR takes 1 min, kernel regression 1 second, LSTM 1 hour without result. 1.000.000 data points: SVR 1 hour, KR some seconds. Good luck.
@jinchoice @FinQuantBlock @lopezdeprado Green - is a typical overfitting, black - SVM/SVR. Typical example. No python, C++ SIMD optimized, 10.000 data points: SVR takes 1 min, kernel regression 1 second, LSTM 1 hour without result. 1.000.000 data points: SVR 1 hour, KR some seconds. Good luck.
The fact is that the bet is paid while there is uncertainty and there is a desire to pay for viewing the next card. Perhaps this is the most correct way to explain the difference between the analysis of physical processes and cash games. Slightly different rules come into force.
The fact is that the bet is paid while there is uncertainty and there is a desire to pay for viewing the next card. Perhaps this is the most correct way to explain the difference between the analysis of physical processes and cash games. Slightly different rules come into force.
Not only stocks
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Avis Bauch @bauch_avis90211
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Quant_Investor @Quant_Investor
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