Andrew Bruce

This seminal photography text, now in its 11th edition, has been revamped, reorganized, and modernized to include the most up-to-date and need-to-know information for photographers. Introducing all the key concepts and fundamentals of photography, this book is a must-have for any photographer’s bookcase.Providing examples and practical information throughout to allow photographers to apply concepts to their own work, the text explains the fundamentals of photography in an accessible way. Fully updated to reflect the dynamic changes in the industry, this 11th edition includes expanded and updated content focusing on advances in camera technology and digital lighting, connecting with the global photography industry and professional networks through social media, updated images throughout, and a new chapter on new digital outputs.Ideal as a foundational text for students of photography as well as a key reference for professionals.

This seminal photography text, now in its 11th edition, has been revamped, reorganized, and modernized to include the most up-to-date and need-to-know information for photographers. Introducing all the key concepts and fundamentals of photography, this book is a must-have for any photographer’s bookcase.Providing examples and practical information throughout to allow photographers to apply concepts to their own work, the text explains the fundamentals of photography in an accessible way. Fully updated to reflect the dynamic changes in the industry, this 11th edition includes expanded and updated content focusing on advances in camera technology and digital lighting, connecting with the global photography industry and professional networks through social media, updated images throughout, and a new chapter on new digital outputs.Ideal as a foundational text for students of photography as well as a key reference for professionals.

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data

This is the direct expulsion of an emotional, physical and mental journey through pornography addiction. If you are a Christian seeking freedom from pornography addiction, it is my hope that this book may find you. Perhaps this book can offer something on your journey of faith in Christ Jesus. Jesus can lead you to freedom.

This issue of Peace & Freedom, dedicated to Andrew Bruce, features poems by Andrew, his A History of Peace & Freedom Press article, and an old interview with him. In addition, there are other old interviews with Steve Andrews and Ralf Bevis, old and new reviews, and a wide range of poetry.

It is a fact of business life that most managers are promoted into their first management job with hardly any training. And if they get promoted again, guess what? The same thing happens again. Managers are basically expected to work out how to do a new job by reacting to the pressures the role puts on them. They can ask questions to begin with, of course, but by the time they have been in post for a while they find it difficult to reveal their ignorance or lack of skills to other people.So, they look for a book that:7 Is a one-stop shop, they don't want to buy a book covering each individual aspect of their work, they want it in one place Is not too academic or clever, you don't need Drucker on Globalisation when you are trying to make a decision whether or not to hire someone in the Paris office Gives hard practical advice built on experience rather than management theory Works Is accessible and easy to use Is simple and practical to implement tomorrow! 100 Business FAQ's is just that book. It gives step-by-step solutions to sensible questions such as, 'What exactly is in a strategic plan?" and 'How do you do risk assessment?'This book is not a once-only read, it will become your business bible - to be used in anger from day one and referred to throughout the rest of your careerThe book also gives practical answers to important questions such as 'How do I gain influence with my boss's boss without annoying my boss?' Answer:First make sure that your boss thinks that other people believe that your good ideas are his. Then make sure that your boss's boss knows that both your good ideas and your boss's good ideas are really yours. Remember that success has many parents while failure is an orphan.

This book introduces applied wavelet analysis through the S-PLUS software system. Using a visual data analysis approach, wavelet concepts are explained in a way that is intuitive and easy to understand. In addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered. Applications of wavelet analysis are illustrated, including nonparametric function estimation, digital image compression, and time-frequency signal analysis.The book and software is intended for a broad range of data analysts, scientists, and engineers. While most textbooks on wavelet analysis require advanced training in mathematics, this book minimizes reliance on formal mathematical methods. Readers should be familiar with calculus and linear algebra at the undergraduate level.