Machine Learning And Artificial Intelligence
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491_9781801574570
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**55% OFF FOR BOOKSTORES!! NOW AT $ 20.95 INSTEAD OF $ 30.95 **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 thats a terrible idea, but how much worse is it today where weve 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 its 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 IBMs Watson supercomputer as it won against the top human Jeopardy players. It did pretty well, most all the time; didnt it? Yes, but it wasnt perfect, and perhaps thats the scary part. In fact, some of the mi
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