Why Can A Machine Learn, Using ML Techniques?
Shivek Maharaj
Data Analyst | Automation Architect | Business success doesn’t follow a blueprint, It follows me | AI Engineer
The technical reason for a Machine to be able to learn from its experiences in this field (ML), is because this field is actually a subset or variant of Artificial Intelligence (AI). Therefore this field allows for a Machine to exhibit signs of Intelligent Behaviour because teaching is involved. Learning, or being able to identify patterns and trends is a form and sign of Intelligent Behaviour.
So essentially what I am saying is that we, the human beings, have and display characteristics of Intelligent Behaviour. Well…most of us anyway (Jokes).
THE MAGIC OF BEING HUMAN.
We welcome a bit of philosophy in this portion.
What makes us human is our natural ability to learn from our mistakes. Nature has wired our brains in a fascinating way. We are able to learn from each mistake that we make in life. We are able to see, learn, and grow. Our knowledge base keeps expanding as life goes on. We have the ability to differentiate right from wrong when faced with a logical or ethical situation. We are able to make assumptions. We have the ability to infer and deduce upon being presented with information.
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THE MAGIC OF HUMAN, SHARED WITH MACHINE.
Machine Learning serves as a field in which Machines can be introduced to the ways of human life, and are granted the gift of learning from their mistakes, alongside other perks. Most individuals, when thrown the term Machine Learning, perceive the field to be one of solely making predictions for future situations- This is not entirely the case, as we will see in the future posts. At this point, however, let us focus on understanding how Machine Learning enables predictions to be made.
Being human does not only mean making mistakes and learning to correct them in the near future. Sight, Hearing, Speech- any human-like quality in today’s time- can be integrated into a Machine using the ways of Machine Learning and its associated disciplines.
AI & Tech Product Owner | Driving Innovation & Automation in AI-Powered Products
1 年Looking forward to reading your article! ??
Senior Data Scientist | Bring me data, I will give you insights | Top 1% Power BI Super User | 500+ solutions delivered | AI Engineer
1 年It's amazing how ML brings machines closer to human intelligence, Shivek Maharaj
??? Engineer & Manufacturer ?? | Internet Bonding routers to Video Servers | Network equipment production | ISP Independent IP address provider | Customized Packet level Encryption & Security ?? | On-premises Cloud ?
1 年Shivek Maharaj In the intricate dance between machines and learning, the essence of Machine Learning (ML) lies in its role as a conduit to infuse artificial intelligence with the semblance of human-like behavior. Beyond mere predictions, ML, nestled within the broader realm of AI, empowers machines to learn, identify patterns, and evolve—an embodiment of intelligent behavior akin to our human ability to learn from experiences. In the grand narrative of being human, the magic lies in our capacity to learn from mistakes, make assumptions, and infer from information—a magic now shared with machines through the transformative lens of ML. As we embark on this exploration, what facets of ML's integration with human-like traits do you find most intriguing or foresee as pivotal in shaping the future of AI? It's a fascinating journey where the lines between artificial and human intelligence blur.