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Artificial Intelligence and Machine Learning

AI and Machine learning (ML) are the two most talked about buzzwords today. They open a vivid world of opportunities.AI is beyond and ahead in every niche, it has stepped in. we are in a age, where the youth is more into self-auto-powered things like Siri, Alexa, google, etc. They are least keen about doing things on their own.<br><br>#HENRYHARVINEDUCATION #MACHINELEARNING<br>

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Artificial Intelligence and Machine Learning

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  1. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING HENRY HARVIN EDUCATION

  2. Artificial intelligence “AI brings with it a promise of genuine human-to-machine interaction. Computer science defines AI research as the study of ‘intelligent agent’, a device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. “ We always think we can solve problems on our own, but in recent studies, we have come across that computer has become more versatile and humane in terms of solving problems, both emotionally and manually with an advance in AI.

  3. AI was first used in 1956, at a computer science conference in Dartmouth. AI described an attempt to model how the human brain works and, based on this knowledge create more advanced computers. Since then, more than 60 years, the scientist and researchers have taken many brainstorming sessions. They collected the brightest minds of the centuries and fed the computers with that. Though it turned out to be complicated, but they came out with the understanding and developed a protocol of learning, natural language processing and creativity through AI, and thus liberated humanity from many of its troubles.

  4. Though AI is ubiquitous computer is still far from perfection. But, ‘never give up’ attitude of the programmers is leading us to achieve and activate human brain into the computer memory.

  5. Machine learning Machine learning as the Wikipedia says” is a subset of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It uses different algorithms that help to solve problems. “ HAs we all know, various machines nowadays work on verbal commands, scan pictures, drive automated cars and play games. It won’t be far when these will start walking among us. To make it easier to understand, I would like to place an example for you from daily life-choosing a song to play(imusic)it will ask you your liking of genre, find various options will filter and sort and finally play your choice.

  6. All this happens with the help of machine learning, i. e. computer learns on its own and provide you with a solution.

  7. Types of AI: Weak or narrow AI Strong AI Super intelligent Weak or narrow AI: You must have heard of Deep Blue, the first computer to defeat a human in chess, and that too, Gary Kasporav in 1996.how did this happen? Deep Blue was capable of generating and evaluating about 200 million chess positions per second and is an early example of weak AI.it is widely used nowadays in science, business and healthcare. Another example is AlphaGo.

  8. Strong AI: Who doesn’t like to be independent? Strong AI is the same. It is the point in the future where machines become human like. They decide and learn without any human inputs. They are competent, solve logical tasks and have emotions too. Now the question arises: how to build a living machine? You must have watched many robotic movies, in which the machines show emotions but at the end, they have their limitations and ultimately fail the human emotions.

  9. The advancement of technology has given us chatbots and virtual assistants that are good at maintaining a conversation. Experiments are still in action to make them humane but reproducing emotional reactions doesn’t make them emotional, will they?

  10. Super intelligence: It is the near future of machines that are par excellence? A big question Machines can be smart, wise, creative with social skills, and the goal may be to better the lives of human but creating autonomous emotional machines like the bicentennial Man, can be a dream come true for any of the scientists.

  11. Right now, to make super intelligent machines they are focusing more on: • Machine reasoning: information on database or library, includes SEO planning. • Robotics: building, development and controlling robots. • Machine learning: study of algorithms.

  12. Components of machine learning • Datasets: the special collection of samples are called datasets. The samples can be numbers, images, texts or any other kind of data. • Features: it is the key to the solution of the task. They demonstrate to the machine what to pay attention to. • Algorithm: it is an ensemble learning, where we use different algorithms to achieve better performance. Depending on the algorithm, the accuracy or speed of getting the results can be different.

  13. Any software using machine learning is independent than manually encoded instructions for performing specific tasks. If the quality of the dataset was high, and the features were chosen right, a machine learning powered system can become better at a given task than humans. For more information: https://www.henryharvin.com/ https://www.henryharvin.com/machine-learning-course-using-python Contact: +91-9015266266

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