The Republic of #Somaliland Armed Forces enjoying their new gear and weapons courtesy of our great ally the State of #Israel 🇮🇱
Am Yisrael Chai
Am Somaliland Chai
@GalgotiasGU I'm not surprised they did this, but since it was being brought in and presented in the global stage, where was the government? Wasn't it checked or did they also take a bribe?
@JamesDa71423605@AntiLeftMemes@RadioGenoa It is so funny that you are in a hypocrisy, go the library and read then you will learn more.
Just read right and understandable books that may wake you up.
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#News_Update: ‘Historic’ MoU with #Somaliland sees #Ethiopia secure access to Sea, diversify seaport https://t.co/tR9ZnJO7TQ
The MoU will "pave the way to realize the aspiration of Ethiopia to secure access to the sea and diversify its access to seaports."
Redwan Hussien, National Security Advisor to PM Abiy, said the MoU will also include "accessing a leased #Military_Base on Red sea."
In August last year, an Ethiopian delegation led by the transport and logistics minister Alemu Sime traveled to Hargeisa, the capital of Somaliland, to look at more port options for Ethiopia.
The delegation has met and discussed with the Somaliland government officials about making Berbera Port an additional option for Ethiopian import export trade activities.
In November, Alemu Sime said that Ethiopia was negotiating with Somaliland government to secure direct access to seaport.
A deal that was signed in March 2018 was expected to enable Ethiopia own a 19% shareholder of the Port of Berbera following the signing of an agreement with DP World and the Somaliland Port Authority in Dubai. The agreement saw DP World own a 51% stake in the project, but the deal to enable Ethiopia’s share has since failed to materialize.
Bayes' Theorem is a fundamental concept in data science. But it took me 2 years to understand its importance. In 2 minutes, I'll share my best findings over the last 2 years exploring Bayesian Statistics. Let's go.
1. Background: "An Essay towards solving a Problem in the Doctrine of Chances," was published in 1763, two years after Bayes' death. In this essay, Bayes addressed the problem of inverse probability, which is the basis of what is now known as Bayesian probability.
2. Bayes' Theorem: Bayes' Theorem provides a mathematical formula to update the probability for a hypothesis as more evidence or information becomes available. It essentially describes how to revise existing predictions or theories in light of new evidence, a process known as Bayesian inference.
3. Bayesian Statistics: Bayesian Statistics is an approach to statistics that interprets probability as a measure of belief or certainty rather than just a frequency. This belief may be based on prior knowledge of the conditions that might be related to the event or experiment in question. This allows for making probabilistic statements about unknown parameters. For instance, instead of estimating a single value for a parameter, Bayesian statistics provides a distribution of possible values, reflecting the uncertainty.
4. Bayesian vs Frequentist: Bayesian inference is fundamentally about updating beliefs or probabilities as new data is observed, which can be very intuitive and aligns with how we often think about the world. Frequentist statistics interpret probability as the long-run frequency of events. The problem I have with frequentist approaches is that pre-determined distributions are used (e.g. Normal Gaussian), which does not always make sense.
5. Bayesian Machine Learning: Any time true confidence and probabilistic decision making is needed, Bayesian is the answer. Here are a couple of examples. Uncertainty Modeling: Unlike traditional machine learning methods that often provide point estimates, Bayesian methods focus on estimating distributions. Time-Series Analysis: Bayesian methods are particularly useful in time-series analysis, where uncertainty in the future is crucial.
6. Business Context: Businesses can use Bayes' Theorem to assess and quantify various risks, such as market risks, credit risks, or operational risks. By continuously updating the probability of risks as new information emerges, businesses can make more informed decisions.
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Reading papers and taking notes for literature review takes a lot of time.
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