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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]
MATLAB + Deep Learning Toolbox (formally Neural Network Toolbox) MathWorks: 1992 Proprietary: No Linux, macOS, Windows: C, C++, Java, MATLAB: MATLAB: No No Train with Parallel Computing Toolbox and generate CUDA code with GPU Coder [23] No Yes [24] Yes [25] [26] Yes [25] Yes [25] Yes With Parallel Computing Toolbox [27] Yes Microsoft Cognitive ...
Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...
He has published over 100 titles, mostly focusing on database management and web technology. Many of his early titles are books about dBASE, such as Understanding dBASE III Plus (1986) [1] and dBASE III Plus Programmer's Reference Guide (1988) [2]. His most recent title is Python All-in-One For Dummies (2021), [3] co-authored with John C. Shovic.
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),
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 ...
Batman; Barbie; Catwoman; Dark Souls III Collector's Edition; Disney; Disney Pirates of the Caribbean; Disney's Alice in Wonderland; DC Comics; DC Comics Super-Villains; Doctor Who; Halo Encyclopedia