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The books are also gaining some popularity for classroom use [citation needed] because of their novel approach to their subject matters. The official web site for the Head First series has forums for each book as well as code downloads and sample chapters. They include: Head First Agile (ISBN 978-1449314330) by Andrew Stellman and Jennifer Greene
Also, some books in the series are smaller and do not follow the same formatting style as the others. Wiley has also launched an interactive online course with Learnstreet based on its popular book, Java for Dummies, 5th edition. [7] A spin-off board game, Crosswords for Dummies, was produced in the late 1990s. [8]
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
R (an open-source software environment for statistical computing, which includes several CART implementations such as rpart, party and randomForest packages), scikit-learn (a free and open-source machine learning library for the Python programming language). Weka (a free and open-source data-mining suite, contains many decision tree algorithms),
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
In deep learning, a multilayer perceptron (MLP) is a name for a modern feedforward neural network consisting of fully connected neurons with nonlinear activation functions, organized in layers, notable for being able to distinguish data that is not linearly separable.
Region-based Convolutional Neural Networks (R-CNN) are a family of machine learning models for computer vision, and specifically object detection and localization. [1] The original goal of R-CNN was to take an input image and produce a set of bounding boxes as output, where each bounding box contains an object and also the category (e.g. car or ...
series) is a product line of how-to and other reference books published by Dorling Kindersley (DK). The books in this series provide a basic understanding of a complex and popular topics. The term "idiot" is used as hyperbole, to reassure readers that the guides will be basic and comprehensible, even if the topics seem intimidating.