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Introduction to Deep Learning Deep learning is said to be the branch of machine learning on the basis of artificial neural network architecture. An artificial neural network uses layers of interconnected nodes called neurons which work collaboratively to process.In a fully connected Deep neural network, there is an input layer...
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Introduction to Diagnostic And Statistical Manual Of Mental DisordersThe Diagnostic and Statistical Manual of Mental Disorders, is popularly known as the “DSM,” which is a reference book for mental health and brain-related conditions and disorders. The American Psychiatric Association (APA) is the one which is responsible for the writing,...
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Introduction To NFPA Codes And StandardsNFPA codes and standards are developed by the experts from around the world and also work as the leading resource on fire, electrical and life safety guidelines. The process for the development of NFPA standards is open to the public on the basis of...
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Introduction to Deep Learning Deep learning is said to be a subfield of machine learning which works on algorithms which are highly inspired by the structure and function of the brain. It is also useful in making weather predictions about rain, earthquakes, and tsunamis. With the help of deep learning,...
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The Elements of Statistical Learning” is a cornerstone in the field of machine learning and statistics, authored by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. This hardcover edition, made available online by Booksndeal, caters to students, data scientists, and professionals eager to delve into the intricacies of statistical learning...
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The PMBOK® Guide, published by the Project Management Institute (PMI), serves as a global standard for project management. First introduced in 1996, it has evolved to address the dynamic and diverse needs of industries worldwide. The 7th Edition, the latest version, represents a significant shift in approach, emphasizing principles...
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