Neural Networks – Garbage in, garbage out
I came across this article and I am somewhat concerned about how much we are potentially relying on neural nets and their “supposed” efficacy. https://physicsworld.com/a/neural-networks-explained/
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Aishetu’s passion for global finance began in the equities division of Goldman Sachs on the international desk in New York. She went on to work for a USAID-funded project with the Nigerian government in its privatization program. She worked closely with President Olusegun Obasanjo and his economic team of cabinet ministers in crafting the National Economic Empowerment and Development Strategy, which drove several successful reforms including the $18 billion Paris Club debt write-off.
Her passion for demonstrable development impact and understanding the intersection of the public and private sectors ability to stimulate economic growth led her to the World Bank in Washington, DC, where she focused on financing businesses in the manufacturing, infrastructure, and service sectors in regions such as Central and South America, Eastern Europe, and Eastern Africa.
Aishetu has worked for Lehman Brothers, Morgan Stanley, Standard Chartered Bank, and Rand Merchant Bank as a senior investment banking executive, having closed $130 billion in M&A, financing, and capital markets transactions. Over the past two decades, she’s lived in New York, Johannesburg, London, and Lagos.
She founded a first-of-its-kind children’s play and activity center in Lagos and authored a children’s picture book entitled “Paloo & Friends in Imaginaria”. Aishetu loves writing and was a contributing columnist with Business Day Newspaper. She currently lives in Palo Alto, California with her husband and three superhero sons.
Aishetu holds a BA from Cornell University, a MBA from the Harvard Business School, and participated in the Leaders in Development Program at the John F. Kennedy School at Harvard University.
Her passion for demonstrable development impact and understanding the intersection of the public and private sectors ability to stimulate economic growth led her to the World Bank in Washington, DC, where she focused on financing businesses in the manufacturing, infrastructure, and service sectors in regions such as Central and South America, Eastern Europe, and Eastern Africa.
Aishetu has worked for Lehman Brothers, Morgan Stanley, Standard Chartered Bank, and Rand Merchant Bank as a senior investment banking executive, having closed $130 billion in M&A, financing, and capital markets transactions. Over the past two decades, she’s lived in New York, Johannesburg, London, and Lagos.
She founded a first-of-its-kind children’s play and activity center in Lagos and authored a children’s picture book entitled “Paloo & Friends in Imaginaria”. Aishetu loves writing and was a contributing columnist with Business Day Newspaper. She currently lives in Palo Alto, California with her husband and three superhero sons.
Aishetu holds a BA from Cornell University, a MBA from the Harvard Business School, and participated in the Leaders in Development Program at the John F. Kennedy School at Harvard University.
Very good article! I love that it discusses the foundation for adequate machine learning. “Undetected biases in the input datasets may produce unintended results.”
I have encountered this same problem in an industrial setting. Most people relate data-sets to absolutes (i.e. black & white), but many of these data-sets have influences, such as peoples individual perception, or emotion at the time of capture.
Stanford teachings lessons on Decision Analysis which assigns probabilities on peoples personal beliefs; I would love to see some machine learning algorithms based on these probabilities that people assign and see what the numbers show.
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