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Doctoral Student @ MIT
HR Manager @ Pernod Ricard Western Africa
Senior Digital Communications Analyst @ Oando Plc
Creative Director @ Thalia Bespoke Nigeria
Senior Writer @ TechCabal
Managing Director & Computer Science PhD Student @ The Diasporic Group & Cornell University
Educator @ Covenant University
International Criminal and Human Rights Lawyer
Senior Lecturer @ The Technical University of Kenya
Personal Brand Therapist | Bus Consultant | Relationship Counsellor | Content Creator @ NEST Consolidated
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Top answers from some of our sessions.
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I've known I wanted to go to Stanford since I was 11 years old when I read a book that said something like "having a degree from Stanford University is a big deal." From then on I had an almost problematic obsession with doing well in everything so that I would be admitted.Because I knew I wanted to go there, I worked really hard in high school to stand out from my classmates. I went to a moderately wealthy high school, and competing academically and socially with people that have access to generational wealth takes strategy. I chose to take on 2-3 extracurriculars each year. Freshman year I was the president of the freshman class and captain of the freshman basketball team and played volleyball, Sophomore year I was a chair in the same student government, on varsity basketball and JV volleyball, and participated in the competitive mathematics club. Junior year I cranked up the AP courses, taking essentially everything AP, still playing on Varsity Basketball and Volleyball. Senior year I was captain of the Basketball team along with my other extracurriculars and APs. There probably were other things, as this was over a decade ago. In terms of academic performance, I was ranked #8 in my class upon graduation with above a 4.8 GPA.Even though I had a strong record, I was still nervous to apply, and so I decided to apply to the Restrictive Early Action round, which means you cannot apply early to any other school, although you are not forced to attend upon acceptance. Luckily I was accepted, and decided to not apply to any other school While I put myself in a good position to be accepted, nobody else at my school was, including those that had better academic records than me. This could be because of my application essay, in which I told the story of why I have 9 siblings in my family and how that has helped me grow as a person. I think the academic performance and the uniqueness of my story were helpful in standing out from the crowd of perfect transcripts.

Ifueko Igbinedion
Doctoral Student @ MIT
I think this is a bit dangerous. Attempting to ascertain sentimental correlations and apply them to huge financial decisions may work in certain contexts and you could definitely train a model with 99% training accuracy on this task, but future situations that are dependent on complex human action can never be adequately represented by a numerical parameterization and a finite state machine. If the model is not large enough, we will not learn all the possible combinations of interactions. If it is too large, then we only learn the context of our training dataset. That being said, you could do both and get good results during training. Personally, I do not have extensive NLP experience or Bayesian experience in production, but their fundamentals suggest that they would learn this type of model well independently or in conjunction. Naïve Bayes is good for state estimation-based decision making, and NLP can be used to model language and extract sentiment. However, these models depend completely on the input dataset that one utilizes, and the chosen labels (if using a supervised method) that are often subjective. Using data from the internet is also dangerous because it is next to impossible to have humans annotate every piece of training data without spending a large amount of money, and learning from problematic input data can lead to problematic situations.To make this less vague, take the 2016 example where Tay, a chatbot made by Microsoft and trained on Twitter data, became extremely racist in less than a day of online training (https://twitter.com/geraldmellor/status/712880710328139776). Attempting to determine causation in a data driven sense is a slippery slope, and until AI solves the data-driven generalization problem (which I believe may be never) I wouldn't build a system like this in production until I could guarantee significant human supervision and have looked at the ethical implications on those who do not financially benefit from the proposed system.

Ifueko Igbinedion
Doctoral Student @ MIT
I think these social media tech giants are right because at law; where ever there is a right , there is an obligation. Though there is enormous efforts by stake holders in recent years to protect freedom of expression online and offline every one (digital citizens inclusive) owe each other the obligation not to abuse these rights . For instance defamation; with the advent and impact of the internet, and particularly social media networks, it is easier than ever to publish content to a very wide audience in no time . Therefore article 17 of the ICCPR provides for the protection against unlawful attacks on a person's honour and reputation as section 19(3) of same ICCPR equally makes reference to the rights and reputation of others as a legitimate ground of limitation of these rights of freedom of expression. Reputation is the underlying basis in any claim of defamation or libel . Most countries have domestic legislations with varying consequences relating to acts that constitute defamation and libel . Other acts that may limit these rights are; breach of Privacy ; Harrasment(cyber bullying) and hate speech. Not all speech is protected under international law and some form of speeches are required to be prohibited by states. For example; Article 20 of the ICCPR provides as follows; (1) Any propaganda for war shall be prohibited by law . (2) Any advocacy of national, racial or religious hatred that constitutes incitement to descrimination, hostility or violence shall be prohibited by law . Reference could equally be made to Article 4 of the International Convention on all forms of Racial Discrimination requires that ; the dissemination of ideas based on racial superiority or hatred as well as acts of violence or incitement to such acts against any race or group of persons of another colour or ethnicity must be declared an offence punishable by law . Hate Speech provisions under international law is distinguished under 3 different categories which is as follows ; (1) that which must be respected. (2) that which may be restricted (2) that which is lawful and subject to protection.

Arrey Ojong Collins
International Criminal and Human Rights Lawyer
How many fishers will be ready to tell you, fishing at large scale is very profitable? How many even in your environment will consistently encourage and mentor you to gain more. The role of an engineer, beyond his analytical sense and political ambitions is that of developing substantial growth even low scale. As a computer engineer (that's how you ought to be addressed even by yourself: the consciousness of who you are) no one hinders you from developing programs and tools to solve issues in your community. Renewable energies utilisation could be part of it. Have you ever thought of how in coaction with other engineers around you, you could mobilise waste resources in Buea to make it active? What of developing plants which will assist the women along the Muea market to easily wash their fish for example? What of extension to use streams, to generate electricity for Student hostels or automation of water plants in student hostels. Your question shows you have interest in solving Education and Health issues? What plans have you taken towards that? If you do consistently, the same funding agencies will come to you, then we could assess your loyalty to solve Africa's problems with your skills. The earlier we stop the blame game, the better. You might also want to host a session which people who share interest in your field. This particular session comes from a public demand to elucidate with persons having interest in renewable energies.

Loic Bethel Dje
Youth and Apex Performance Mentor | Initiator @ PureBreedSbe
I think the first question should be: does this problem actually need ML?

Chinasa T. Okolo
Managing Director & Computer Science PhD Student @ The Diasporic Group & Cornell University
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