In modern problem solving, which is superior, computer algorithms or human intellect in making decisions?
In the era of Data science and Big Data, when do we make use of our instincts or follow the results of algorithm of the computer or machine learning in solving problems? Where is the divide between the two?
Want your views.
Thanks.
The human brain is still superior because all the machine learning algorithms are developed by human. The place of computer algorithm written by human is to attain the speed that human cannot attain.
NO. The human mind is unparalleled and cannot be compared in any way to ML.
Human brain is superior but multi tasking functionality belongs to the computer...
Let start with learning curve.
This win-win situation for man and machine.
Definitions used here
Big Data: The use of predictive analytics, user
behavior analytics, or certain other advanced data
analytics methods that extract value from data.
Machine Learning: A field of computer
science that gives computers the ability to learn
without being explicitly programmed.
Artificial Intelligence: When a machine mimics
"cognitive" functions that humans associate with
other human minds, such as "learning" and
"problem solving"
Please, see attached documents.
Thanks
Comparing- Human and Machine.
Learning Analytics (LA) has a major interest in exploring and understanding the learning process of
humans and, for this purpose, benefits from both Cognitive Science, which studies how humans learn,
and Machine Learning, which studies how algorithms learn from data. Usually, Machine Learning is
exploited as a tool for analyzing data coming from experimental studies, but it has been recently applied
to humans as if they were algorithms that learn from data. One example is the application of Rademacher
Complexity, which measures the capacity of a learning machine, to human learning, which led to the
formulation of Human Rademacher Complexity (HRC). In this line of research, we propose here a more
powerful measure of complexity, the Human Algorithmic Stability (HAS), as a tool to better understand
the learning process of humans.
See attached document.
The machnie advantage to man.
Artificial intelligence (AI) applications will profoundly impact societies in low- and middle-income countries (LMICs), both positively and negatively. AI is an emerging class of technologies upon which other technologies and applications are being built.
Fuelled by the increasing availability of computational power, improved connectivity, and data, AI applications offer intriguing possibilities for promoting economic growth and tackling a wide variety of longstanding problems in the Global South. The resulting disruptive impact will be massive and could well be revolutionary.
Consequently, the roll-out of future AI applications requires a healthy critical perspective and an ongoing public dialogue.
Agriculture: AI is being employed to address the various threats that can
compromise a successful harvest. For example, AI systems are being used to support water management in Palestine and drought monitoring in Uganda.
Education: AI can move educational offerings beyond an industrial, one-size fits-all delivery model toward quality personalized learning opportunities at scale. For example, efforts in India are employing AI to develop intelligent tutoring systems.
Economy and business: AI offers the potential for higher productivity and offers a means of growth in the form of new business development, innovation, and optimization of economic building blocks. For example, several companies are working to extend access to standard financial services to the hundreds of millions of Africans who either do not use them or do not currently have access.
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