Mathematics for Machine Learning

Mathematics for Machine Learning

Author: Marc Peter Deisenroth

Publisher: Cambridge University Press

Published: 2020-04-23

Total Pages: 392

ISBN-13: 1108569323

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.


Fundamentals of Guitar

Fundamentals of Guitar

Author: Miles Okazaki

Publisher: Mel Bay Publications

Published: 2015-02-25

Total Pages: 173

ISBN-13: 1619114860

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This book is designed to be useful for guitarists at any skill level. Beginners can use it as an introduction to the foundational concepts of the instrument, intermediate players can use it for training and theoretical work, and advanced players can explore the sections on advanced theory, extended technique and the exhaustive tables of melodic and rhythmic possibilities. It is divided into two parts: pitch and rhythm. Part 1 (pitch) begins with the properties of string, harmonics, and tuning systems. It then moves methodically through pitch information, beginning with locating all versions of a single pitch, building pentatonic, heptatonic, and all possible symmetrical scales. This is followed by a study of intervals, with all possible locations of every two pitches, and a long study that moves through every possible fingering of three pitches, with a series of exercises to master triadic syntax. Part 1 closes with a study of four-pitch structures and complete tables that show all possible pitch sets in circular visual notation. Part 2 (rhythm) begins with a complete course in "Symmetrical Picking," a method based on drum rudiments that builds control in the picking hand through an exhaustive variety of movements. The focus of this section is building a strong rhythmic foundation, with a focus on efficiency, accuracy, speed, dynamics, and groove. It is followed by a study of legato playing, working with ornaments and slides. The study of playing with fingers on multiple strings takes up the remainder of the book. This begins with the study of pulse against pulse, playing two simultaneous tempos. The book concludes with a study of polyrhythm, playing one rhythm against another. Plain English is used as much as possible to describe theoretical concepts, and hundreds of illustrations were made for the book as an aid to those who either don't speak English or prefer to think visually. This approach is designed to be inclusive and to promote creative practice. The main idea of the book is described in this passage (page 154): "Even in this small area there is a lot of material, potentially a lifetime of study. The amount of information can feel overwhelming to students at any level. For this reason, the book is designed for self-directed practice, with an emphasis on what the player "could" do, rather than what the player "should" do. The principle is to develop your own learning process, rather than following someone else's. The ability to make choices is essential in finding a personal approach to the instrument. Pick and choose the studies that seem interesting - there should be enough variety to accommodate a wide range of personalities. If any particular concept or exercise has been useful as the starting point for a new creative direction, then the book has done its job. Its purpose is not to push any dogma, method, or style, but to open the door to options for guitarists of any background that are looking for new perspectives.


Deep Learning with Python

Deep Learning with Python

Author: Francois Chollet

Publisher: Simon and Schuster

Published: 2017-11-30

Total Pages: 597

ISBN-13: 1638352046

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Summary 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book 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. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance


Avid Media Composer | First

Avid Media Composer | First

Author: Avid Technology

Publisher: Rowman & Littlefield

Published: 2021-05-07

Total Pages: 263

ISBN-13: 1538143836

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Avid Media Composer | First: Fundamentals of Video Editing introduces users to the power of Media Composer software and marks the first steps toward developing core skills in video editing. The book covers the basic principles you’ll need to complete a Media Composer | First project, from initial setup to final output, and it is designed for those who are new to professional video editing and also for experienced editors who are unfamiliar with Media Composer software. Each lesson and exercise will focus on a phase of the editing process, starting with organizing media, assembling a sequence, refining a sequence, creating titles and effects, and outputting your program so that others can view it. Although this book is not aimed at teaching the theory behind film and television production, the content provides some background on the craft of editing, making it appropriate for students and others new to the art. For those interested in gaining official Avid certification, this book is also a valuable introduction for further learning and through the Avid Learning Series curriculum.


Fundamentals of Music Processing

Fundamentals of Music Processing

Author: Meinard Müller

Publisher: Springer Nature

Published: 2021-04-09

Total Pages: 495

ISBN-13: 3030698084

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The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses—in a mathematically rigorous way—essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book’s goal is to offer detailed technological insights and a deep understanding of music processing applications. As a substantial extension, the textbook’s second edition introduces the FMP (fundamentals of music processing) notebooks, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter notebooks and open-source web applications, the FMP notebooks yield an interactive framework that allows students to experiment with their music examples, explore the effect of parameter settings, and understand the computed results by suitable visualizations and sonifications. The FMP notebooks are available from the author’s institutional web page at the International Audio Laboratories Erlangen.


How to Differentiate Instruction in Mixed-ability Classrooms

How to Differentiate Instruction in Mixed-ability Classrooms

Author: Carol A. Tomlinson

Publisher: ASCD

Published: 2001

Total Pages: 128

ISBN-13: 0871205122

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Offers a definition of differentiated instruction, and provides principles and strategies designed to help teachers create learning environments that address the different learning styles, interests, and readiness levels found in a typical mixed-ability classroom.


Educational Design Research

Educational Design Research

Author: Jan Van den Akker

Publisher: Routledge

Published: 2006-11-22

Total Pages: 177

ISBN-13: 1134155654

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The field of design research has been gaining momentum over the last five years, particularly in educational studies. As papers and articles have grown in number, definition of the domain is now beginning to standardise. This book fulfils a growing need by providing a synthesised assessment of the use of development research in education. It looks at four main elements: background information including origins, definitions of development research, description of applications and benefits and risks associated with studies of this kind how the approach can serve the design of learning environments and educational technology quality assurance - how to safeguard academic rigor while conducting design and development studies a synthesis and overview of the topic along with relevant reflections.


Fundamentals of Music Processing

Fundamentals of Music Processing

Author: Meinard Müller

Publisher: Springer

Published: 2015-07-21

Total Pages: 509

ISBN-13: 3319219456

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This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses—in a mathematically rigorous way—important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.


Practical Research

Practical Research

Author: Paul D. Leedy

Publisher:

Published: 2013-07-30

Total Pages: 384

ISBN-13: 9781292021171

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For undergraduate or graduate courses that include planning, conducting, and evaluating research. A do-it-yourself, understand-it-yourself manual designed to help students understand the fundamental structure of research and the methodical process that leads to valid, reliable results. Written in uncommonly engaging and elegant prose, this text guides the reader, step-by-step, from the selection of a problem, through the process of conducting authentic research, to the preparation of a completed report, with practical suggestions based on a solid theoretical framework and sound pedagogy. Suitable as the core text in any introductory research course or even for self-instruction, this text will show students two things: 1) that quality research demands planning and design; and, 2) how their own research projects can be executed effectively and professionally.