What do you think?
Rate this book
Machine Learning And Artificial Intelligence: Essential Guide To Understanding How ML And AI Can Be Applied In Practice And Be Compatible With Human Behaviour In Modern Times
Do you want to learn how ML and AI can be applied in practice and be compatible with human behavior in modern times? If yes, this book is for you!
Machine learning (ML) is a data-driven approach. Hence it implies the availability of large datasets in order to make accurate decisions. In case only a limited dataset is available to solve a particular problem, it is best to use a deterministic approach. When a limited dataset is available it is hard to train a machine learning model and generalize its applicability to other similar problems. The developed model, in this case, is only applicable for the few data it was trained on.
Because ML methods rely solely only on data and the human expertise or judgment is not taken in consideration, it is the data that dictate if the machine learning method will fail or succeed to perform the task it was designed for. The way a machine learning approach works is that a modeler develops a learning algorithm. Then the modeler feeds the learning algorithm with the data and information.
Could Turning Important Decisions over to AI help Humanity? Some might say that's a terrible idea, but how much worse is it today where we've turned over our societies and civilizations to corrupt leadership, crony capitalism, or had to deal with rogue nation-states in other parts of the world with two-bit dictators, religious fanaticism, or the quest to destroy another group of peoples' civilization? Perhaps it's time we came up with a special think tank that could go through all the issues concerning our fears, and what we hope to expect from AI decision-making machines. That is to say how to get the best possible answer, all the time with the greatest probability.
We all watched IBM's "Watson" supercomputer as it won against the top human Jeopardy players. It did pretty well, most all the time; didn't it? Yes, but it wasn't perfect, and perhaps that's the scary part. In fact, some of the mistakes that it did make were mistakes that even a child wouldn't have missed. Still, if there is a group of humans or a think tank, focus group, or Board of Directors constantly surveying the answers and asking additional questions, then perhaps you don't have to worry about an erroneous answer now and again. In fact, it might make you smile and feel good to be a human at that point.
ML is useful anywhere you need to recognize patterns and predict behavior based on historical data. Recognizing patterns could mean anything from character recognition to predictive maintenance to recommending products to customers based on past purchases.
This book gives a comprehensive guide on the
Correlation Between ML and Artificial Learning
The Era of Evolution
ML and AI in Practice
Self-Driving Cars
Robots and How they will Change Our Lives
ML, AI and IoT
Ethics of AI
AI and Privacy
Is Artificial Intelligence Dangerous?
Will Humans and Artificial Intelligence Live Together in the Future?
... AND MORE!!!
ORDER YOUR COPIES NOW, YOUR CUSTOMERS WILL LOVE IT!
Machine learning (ML) is a data-driven approach. Hence it implies the availability of large datasets in order to make accurate decisions. In case only a limited dataset is available to solve a particular problem, it is best to use a deterministic approach. When a limited dataset is available it is hard to train a machine learning model and generalize its applicability to other similar problems. The developed model, in this case, is only applicable for the few data it was trained on.
Because ML methods rely solely only on data and the human expertise or judgment is not taken in consideration, it is the data that dictate if the machine learning method will fail or succeed to perform the task it was designed for. The way a machine learning approach works is that a modeler develops a learning algorithm. Then the modeler feeds the learning algorithm with the data and information.
Could Turning Important Decisions over to AI help Humanity? Some might say that's a terrible idea, but how much worse is it today where we've turned over our societies and civilizations to corrupt leadership, crony capitalism, or had to deal with rogue nation-states in other parts of the world with two-bit dictators, religious fanaticism, or the quest to destroy another group of peoples' civilization? Perhaps it's time we came up with a special think tank that could go through all the issues concerning our fears, and what we hope to expect from AI decision-making machines. That is to say how to get the best possible answer, all the time with the greatest probability.
We all watched IBM's "Watson" supercomputer as it won against the top human Jeopardy players. It did pretty well, most all the time; didn't it? Yes, but it wasn't perfect, and perhaps that's the scary part. In fact, some of the mistakes that it did make were mistakes that even a child wouldn't have missed. Still, if there is a group of humans or a think tank, focus group, or Board of Directors constantly surveying the answers and asking additional questions, then perhaps you don't have to worry about an erroneous answer now and again. In fact, it might make you smile and feel good to be a human at that point.
ML is useful anywhere you need to recognize patterns and predict behavior based on historical data. Recognizing patterns could mean anything from character recognition to predictive maintenance to recommending products to customers based on past purchases.
This book gives a comprehensive guide on the
Correlation Between ML and Artificial Learning
The Era of Evolution
ML and AI in Practice
Self-Driving Cars
Robots and How they will Change Our Lives
ML, AI and IoT
Ethics of AI
AI and Privacy
Is Artificial Intelligence Dangerous?
Will Humans and Artificial Intelligence Live Together in the Future?
... AND MORE!!!
ORDER YOUR COPIES NOW, YOUR CUSTOMERS WILL LOVE IT!
174 pages, Paperback
Published December 27, 2020
3 people are currently reading
3 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 of 1 review
July 10, 2024
This was a lot longer than it needed to be for me. When I learned it for the first time we had long discussions about AI and Ethical AI and this was bought up in this book as well. I really liked this aspect.
But if it was about pure information the book could have been a lot shorter. Elaborating on the key concepts again and then moving over to the practical aspects before ending it with a discussion about Ethics. This book lingered a lot on a few things, it was too long to be a nice surface level introduction but too short to be an in depth or even philosophical work.
But if it was about pure information the book could have been a lot shorter. Elaborating on the key concepts again and then moving over to the practical aspects before ending it with a discussion about Ethics. This book lingered a lot on a few things, it was too long to be a nice surface level introduction but too short to be an in depth or even philosophical work.
Displaying 1 of 1 review