People with high emotional intelligence understand that just because arif

6 min readNov 22, 2020

Satellite imagery confirms, however, that large areas of forest in Armenian-controlled territory showed extensive fire damage at the same time as the videos alleging Azerbaijan’s phosphorous munitions use appeared. The targeting of forested areas is a strategy sometimes used to flush combatants from an area or to inflict high-collateral environmental destruction.

When the bridge was built, we simply did not have a good enough theory about the aerodynamical forces that a bridge is exposed to ‘in production’. Nowadays, with CFD simulations we can stress-test bridges before they are being built, and prevent failures like that of the Tacoma Narrows bridge from happening again. Theory enabled us to build better bridges.

The usage of white phosphorus munitions by Azerbaijani forces in those forests will not only destroy valuable ecosystems & habitats and put threatened species at the risk of extinction but will contaminate rivers & underground waters for years, thus turning into a major threat of regional scale for all the people and wildlife living in the region.

Theory also provides a safeguard against fluke discoveries. When researchers from the OPERA experiment announced in 2011 that they had measured neutrinos that were moving faster than the speed of light, we knew from our theories that this was an extraordinary statement, and needed to be vetted carefully. Indeed, as it was discovered later, a fiber optic cable had been attached improperly, causing the erroneous readings.

Because many emotions like fear or sadness feel bad, it’s easy to think they are bad or that we are bad for feeling them. This often happens to people who were punished or ridiculed for expressing emotion as children.

Whether you’re considering going into business with someone, getting married, or hiring a coach, it’s crucial that you’re able to spot the signs of low emotional intelligence early.

The Second Karabakh War is now over with a Russia-brokered ceasefire deal. But as the fog of war lifts and both sides assess the full extent of the damage, emerging open-source satellite imagery from the last week of fighting shows the environmental destruction resulting from Azerbaijan’s reported use of white phosphorus munitions on forests in Nagorno-Karabakh.

Machine learning research today is almost entirely empirical. We need a better theory to sharpen our intuition on where to look next, and to distinguish real signal from fluke discoveries. Perhaps the success of physics can be a guide.In any case, a common sign of low emotional intelligence is that people criticize themselves for having difficult emotions. They think it’s bad or wrong to feel afraid. They think it’s shameful to feel sad. They think it’s a sign of weakness that they get angry.
Azerbaijan denied reports that it had used the incendiary munitions on Armenian-controlled areas. On Twitter, Hikmet Hajiyev, foreign policy advisor to Azerbaijani President Ilham Aliyev, countered that Armenia previously used white phosphorus munitions on the Azerbaijani-controlled territory of Fizuli. Turkish state outlets made similar claims, but there was no open-source evidence that supported them.
Perhaps the most important concept in physics is that of emergence: higher-level theories describing macro-phenomena mathematically emerge from lower-level theories describing micro-phenomena. When talking about a gas, for example, it quickly becomes unfeasible to talk about the properties of the individual particles making up that gas. Instead, it is more meaningful and useful to treat macroscopic quantities like pressure, temperature, and entropy as the fundamental properties. The equations of statistical mechanics then describe how these macro-quantities relate to the states of the underlying particles.So, I certainly wouldn’t recommend doing algorithmic trading using real money on your own. Instead, if you happen to devise a trading algorithm that gives proven results on back-testing, pitching it to a broker is always a safer bet to make money.Which brings us back to the topic. Today’s machine learning practice is much like 1940’s bridge-building. Deep neural networks seems to be working astonishingly well, but we lack a thorough mathematical understanding of why they do. Even worse, deep learning systems can sometimes fail spectacularly, and we don’t really understand why, either.Some people with very low emotional intelligence simply refuse to talk about their feelings. But more commonly, they just aren’t very good at it. Often they use vague or metaphorical language to describe how they feel — “I’m just a little stressed” or “I’m pissed off.” Sometimes they intellectualize their emotions, using abstract and conceptual language to avoid describing how they really feel — “I’m just kind of overwhelmed.”

I hope the numerous ideas mentioned above inspire you to start a side hustle as a data scientist. A side hustle is the first stone in a potential business empire and helps keep the entrepreneurial spirit alive.

Machine learning research today is almost entirely empirical. We need a better theory to sharpen our intuition on where to look next, and to distinguish real signal from fluke discoveries. Perhaps the success of physics can be a guide.There are Kaggle competitions as well and they do give out huge rewards to the winners. But I consciously didn’t talk at length on it, as the chances of making money are negligible. Nevertheless, Kaggle does provide a good learning curve while also helping grow your network.
The story of the Tacoma Narrows bridge illustrates vividly why it is so important to have a good theory. After being opened for traffic in July 1940, the bridge started swaying wildly in the wind, until it spectacularly collapsed just 4 months later. One dog died.
In early November, videos reportedly showing banned white phosphorus munitions on Armenian-controlled areas in Karabakh started appearing on Twitter and other social media outlets. The imagery did not attract significant attention from international media or international environmental conservation organizations, but Transparency International Armenia issued an Ecocide Alert for the region, condemning the weapons’ use:What we need, then, is an emergent theory of deep learning: a theory that goes beyond describing what individual neurons do, and explains the emergent behavior of the entire network.

Even if a data scientist manages to pull this off and gets a decent accuracy, still playing with real data is a different ball game altogether. All the major hedge fund firms today already use their own algo trading bots(based on hundreds of parameters and well-tested strategies) in day to day trading. The hedge fund managers can very quickly decipher algorithmic trading patterns and break it as soon as you invest in a good sum of money. Worse, they could inverse their strategies to ensure you incur huge losses.

One candidate for such an emergent theory is energy-based learning, a theoretical framework promoted by Yann LeCun and others. The framework introduces a scalar field that describes the energy of a combined system. For a datapoint consisting of features and a label, for instance, this scalar energy is minimized if the label is the correct one. LeCun shows that any machine learning problem can be reformulated in this way as an energy-minimization problem. In physics terms, this framework views energy as the emergent property of the machine learning system.

People with high emotional intelligence understand that just because arif

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