Mathematics by Steps (Angles to Vectors) PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Mathematics by Steps (Angles to Vectors) PDF full book. Access full book title Mathematics by Steps (Angles to Vectors) by James F Frayne. Download full books in PDF and EPUB format.
Author: James F Frayne
Publisher: Lulu.com
ISBN: 0244658366
Category : Education
Languages : en
Pages : 166
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Book Description
Pick up any mathematics book and take an objective look at the contents of any one topic. The chances are that the writer falsely believes that prior essential knowledge has already been gained as a precursor to addressing the topic. In truth, the student may have indeed gained some insight to essential knowledge, but this is never made completely clear at the outset and consequently the student is, more often than not, left to look for such relevant associations as best they can. Assumed prior knowledge is often essential, but all too often not made clear, thus resulting in predictable disastrous effects and yet another generation that can sadly boast 'I was never good at mathematics when I was at school'. This book helps to address this problem.
Author: James F Frayne
Publisher: Lulu.com
ISBN: 0244658366
Category : Education
Languages : en
Pages : 166
Get Book Here
Book Description
Pick up any mathematics book and take an objective look at the contents of any one topic. The chances are that the writer falsely believes that prior essential knowledge has already been gained as a precursor to addressing the topic. In truth, the student may have indeed gained some insight to essential knowledge, but this is never made completely clear at the outset and consequently the student is, more often than not, left to look for such relevant associations as best they can. Assumed prior knowledge is often essential, but all too often not made clear, thus resulting in predictable disastrous effects and yet another generation that can sadly boast 'I was never good at mathematics when I was at school'. This book helps to address this problem.
Author: Lee Jun Cai
Publisher: AcesMath!
ISBN:
Category : Mathematics
Languages : en
Pages : 55
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Book Description
Confused about the various concepts on Vectors taught in school? This book on Vectors seeks to offer a condensed version of what you need to know for your journey in IB Mathematics (HL), alongside with detailed worked examples and extra practice questions. Tips on certain question types are provided to aid in smoothing the working process when dealing with them.
Author: K. Tas
Publisher: Springer Science & Business Media
ISBN: 1402056788
Category : Technology & Engineering
Languages : en
Pages : 451
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Book Description
This book contains some of the contributions that have been carefully selected and peer-reviewed, which were presented at the International Symposium MME06 Mathematical Methods in Engineering, held in Cankaya University, Ankara, April 2006. The Symposium provided a setting for discussing recent developments in Fractional Mathematics, Neutrices and Generalized Functions, Boundary Value Problems, Applications of Wavelets, Dynamical Systems and Control Theory.
Author: Tamoghna Ghosh
Publisher: BPB Publications
ISBN: 9355511930
Category : Computers
Languages : en
Pages : 572
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Book Description
Mathematical Codebook to Navigate Through the Fast-changing AI Landscape KEY FEATURES ● Access to industry-recognized AI methodology and deep learning mathematics with simple-to-understand examples. ● Encompasses MDP Modeling, the Bellman Equation, Auto-regressive Models, BERT, and Transformers. ● Detailed, line-by-line diagrams of algorithms, and the mathematical computations they perform. DESCRIPTION To construct a system that may be referred to as having ‘Artificial Intelligence,’ it is important to develop the capacity to design algorithms capable of performing data-based automated decision-making in conditions of uncertainty. Now, to accomplish this goal, one needs to have an in-depth understanding of the more sophisticated components of linear algebra, vector calculus, probability, and statistics. This book walks you through every mathematical algorithm, as well as its architecture, its operation, and its design so that you can understand how any artificial intelligence system operates. This book will teach you the common terminologies used in artificial intelligence such as models, data, parameters of models, and dependent and independent variables. The Bayesian linear regression, the Gaussian mixture model, the stochastic gradient descent, and the backpropagation algorithms are explored with implementation beginning from scratch. The vast majority of the sophisticated mathematics required for complicated AI computations such as autoregressive models, cycle GANs, and CNN optimization are explained and compared. You will acquire knowledge that extends beyond mathematics while reading this book. Specifically, you will become familiar with numerous AI training methods, various NLP tasks, and the process of reducing the dimensionality of data. WHAT YOU WILL LEARN ● Learn to think like a professional data scientist by picking the best-performing AI algorithms. ● Expand your mathematical horizons to include the most cutting-edge AI methods. ● Learn about Transformer Networks, improving CNN performance, dimensionality reduction, and generative models. ● Explore several neural network designs as a starting point for constructing your own NLP and Computer Vision architecture. ● Create specialized loss functions and tailor-made AI algorithms for a given business application. WHO THIS BOOK IS FOR Everyone interested in artificial intelligence and its computational foundations, including machine learning, data science, deep learning, computer vision, and natural language processing (NLP), both researchers and professionals, will find this book to be an excellent companion. This book can be useful as a quick reference for practitioners who already use a variety of mathematical topics but do not completely understand the underlying principles. TABLE OF CONTENTS 1. Overview of AI 2. Linear Algebra 3. Vector Calculus 4. Basic Statistics and Probability Theory 5. Statistics Inference and Applications 6. Neural Networks 7. Clustering 8. Dimensionality Reduction 9. Computer Vision 10. Sequence Learning Models 11. Natural Language Processing 12. Generative Models
Author: Andrew French
Publisher: World Scientific
ISBN: 1800611099
Category : Mathematics
Languages : en
Pages : 276
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Book Description
A Mezze of Mathematical Methods is Volume 1 of Science by Simulation. It is a recipe book of mathematical models that can be enlivened by the transmutation of equations into computer code. In this volume, the examples chosen are an eclectic mix of systems and stories rooted in common experience, rather than those normally associated with constrained courses on Physics, Chemistry or Biology which are taught in isolation and susceptible to going out of date in a few years. Rather than a 'what' of Science, this book is aimed at the 'how', readily applied to projects by students and professionals. Written in a friendly style based upon the author's expertise in teaching and pedagogy, this mathematically rigorous book is designed for readers to follow arguments step-by-step with stand-alone chapters which can be read independently. This approach will provide a tangible and readily accessible context for the development of a wide range of interconnected mathematical ideas and computing methods that underpin the practice of Science.
Author: Erchin Serpedin
Publisher: CRC Press
ISBN: 1466514086
Category : Computers
Languages : en
Pages : 859
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Book Description
Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the design, analysis, and optimization of signal processing algorithms, modern communication systems, and networks. Helping readers master key techniques and comprehend the current research literature, the book offers a comprehensive overview of methods and applications from linear algebra, numerical analysis, statistics, probability, stochastic processes, and optimization. From basic transforms to Monte Carlo simulation to linear programming, the text covers a broad range of mathematical techniques essential to understanding the concepts and results in signal processing, telecommunications, and networking. Along with discussing mathematical theory, each self-contained chapter presents examples that illustrate the use of various mathematical concepts to solve different applications. Each chapter also includes a set of homework exercises and readings for additional study. This text helps readers understand fundamental and advanced results as well as recent research trends in the interrelated fields of signal processing, telecommunications, and networking. It provides all the necessary mathematical background to prepare students for more advanced courses and train specialists working in these areas.
Author: William Kingdon Clifford
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 776
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Book Description
Author: Peter Atkins
Publisher: Oxford University Press
ISBN: 0199609810
Category : Science
Languages : en
Pages : 1009
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Book Description
This title takes an innovative molecular approach to the teaching of physical chemistry. The authors present the subject in a rigorous but accessible manner, allowing students to gain a thorough understanding of physical chemistry.
Author: Peter Atkins
Publisher: Oxford University Press, USA
ISBN: 0199543372
Category : Science
Languages : en
Pages : 1006
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Book Description
This volume features a greater emphasis on the molecular view of physical chemistry and a move away from classical thermodynamics. It offers greater explanation and support in mathematics which remains an intrinsic part of physical chemistry.
Author: Domenico Formica
Publisher: MDPI
ISBN: 3036506500
Category : Technology & Engineering
Languages : en
Pages : 432
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Book Description
This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.
