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"Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. --"

"Penelitian ini membahas tentang membangun model machine learning pada aspek manusia dalam kesadaran keamanan informasi. Model dibangun melalui pendekatan classification dan clustering melalui proses secara garis besar meliputi: impor data, menangani data tidak lengkap, penyusunan dataset, feature scaling, membangun model serta mengevaluasi model. Dataset disusun berdasarkan hasil kuisioner yang merujuk The Human Aspects of Information Security Questionnaire pada masyarakat di Indonesia. Hasil model classification dievaluasi dengan beberapa metode yaitu analisa k-fold Cross Validation, Confusion Matrix, Receiver Operating Characteristic, serta perhitungan skor pada masing-masing model. Salah satu algoritma pada classification yang digunakan yaitu Support Vector Machine memiliki kinerja dengan akurasi 99,7% dan error rate sebesar 0,3%. Algoritma pada clustering salah satunya yaitu DBSCAN memiliki nilai adjusted rand index selalu mendekati nilai 0.

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This research discusses building a machine learning model on the human aspect of information security awareness. The model built through a classification and clustering approach through a broad outline process, including importing data, handling incomplete data, compiling datasets, feature scaling, building models, and evaluating models. Dataset arranged based on the results of a questionnaire that referred to The Human Aspects of Information Security Questionnaire to Indonesia society. The results of the classification model evaluated by several methods, namely k-fold Cross Validation analysis, Confusion Matrix, Receiver Operating Characteristics, and score calculation for each model. One of the algorithms for classification, the Support Vector Machine, has a performance with an accuracy of 99.7% and an error rate of 0.3%. One of the algorithms in clustering is that DBSCAN has an adjusted rand index value consistently close to 0."

"ABSTRAKIncongruity ketidaksesuaian adalah salah satu bahan baku lelucon, dan Monty Python rsquo;s Flying Circus MPFC/Sirkus Terbang Monty Python dari Britannia Raya adalah grup komedi ternama yang bertanggung jawab atas beberapa sketsa terabsurd dalam sejarah pertelevisian. Korpus makalah penelitian ini adalah dua sketsa karya MPFC; ldquo;Lumberjack Song Lagu Pemotong Kayu rdquo; dan ldquo;Communist Quiz Kuis Komunis rdquo;. Tujuan dari penelitian ini adalah untuk menjelaskan dan mendalami bermacam incongruity sebagaimana didefinisikan oleh Koestler 1964 yang ditemukan dalam kedua sketsa tersebut, dan bagaimana mereka memengaruhi dan/atau dipengaruhi oleh satu sama lain dalam kedua sketsa tersebut. Penelitian ini bersifat kualitatif dan menggunakan analisis tekstual untuk menganalisis komponen linguistik dan literatur yang ditemukan dalam penelitian ini. Berdasarkan hasil penelitian yang telah dilakukan, terdapat lima incongruity secara total; satu incongruity yang bersifat menyeluruh dalam ldquo;Lumberjack Song, rdquo; dan empat incongruity yang terpisah dalam ldquo;Communist Quiz. rdquo; Penelitian ini berkesimpulan bahwa walaupun absurditas secara umum dan incongruity memang merupakan alasan mengapa banyak orang menyukai MPFC, unsur satir yang mendasari sketsa-sketsa mereka yang dapat ditemukan dengan melihat bagaimana absurditas dan incongruity tersebut dibuat membuat sketsa-sketsa tersebut lebih pintar daripada yang terlihat.

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ABSTRACTIncongruity is one of the basic ingredients for a joke, and the British comedy troupe, Monty Python rsquo;s Flying Circus MPFC is famous for some of the most incongruous sketches known in the history of television. The corpus of this research paper is MPFC rsquo;s two sketches; ldquo;Lumberjack Song rdquo; and ldquo;Communist Quiz rdquo;. The purpose of this research is to explain and elaborate on the various incongruities as defined by Koestler 1964 found on the aforementioned two sketches, and the way they affect and/or are affected by each other in the sketch. This research is qualitative in nature and uses textual analysis of both linguistic and literary components. Based on the result of analysis, out of the two samples, there are five incongruities in total; one overarching incongruity in the ldquo;Lumberjack Song, rdquo; and four separate ones in the ldquo;Communist Quiz rdquo; sketch. This research concludes that while general absurdities and incongruities might indeed be the reasons why people like MPFC, the underlying satires found by seeing how those absurdities and incongruities are constructed makes it smarter than it presented itself to be."

"This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently.Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. The text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python.Topics and features:- Includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface- Provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples- Offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author- Presents a primer on Python for those coming from a different language background- Reviews the use of hashing in sets and maps, along with an examination of binary search trees and tree traversals, and material on depth first search of graphs- Discusses topics suitable for an advanced course, such as membership structures, heaps, balanced binary search trees, B-trees and heuristic search."

"The current text provides a clear introduction to computer science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts."

"The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming."