Unlock your full potential with these revision guides which focus on the key content and skills you need to know. With My Revision Notes for OCR A2 Biology you can: Take control of your revision: plan and focus on the areas you need to revise with content summaries and commentary from author Franck Sochacki Show you fully understand key topics by using the examples to add depth to your knowledge of biological processes and applications Apply biological terms accurately with the help of definitions and key words on all topics Improve your skills to tackle exam questions, with self-testing and exam-style questions and answers Get exam-ready with last-minute quick quizzes at http://www.hodderplus.co.uk/myrevisionnotes

Get the best grades with My Revision Notes: OCR AS Biology. Manage your own revision with step-by-step support from experienced teacher and examiner Frank Sochacki Use specific examples and advice to improve your knowledge of biological processes and applications Get the top marks by applying biological terms accurately with the help of definitions and key words Improve your exam skills with self-testing and exam-style questions and answers My Revision Notes will help you prepare for the big day: Plan and pace your revision with My Revision Planner Use the concise notes to revise the essential information Use the examiner's tips and summaries to clarify key points Avoid making typical mistakes with expert advice Test yourself with end-of-topic questions and answers and tick off each topic as you complete it Practise your exam skills on exam questions then check your answers online Get exam-ready with last-minute quick quizzes at www.therevisionbutton.co.uk/myrevisionnotes

What does pleasure have to do with morality? What role, if any, should intuition have in the formation of moral theory? If something is ‘simulated’, can it be immoral? This accessible and wide-ranging textbook explores these questions and many more. Key ideas in the fields of normative ethics, metaethics and applied ethics are explained rigorously and systematically, with a vivid writing style that enlivens the topics with energy and wit. Individual theories are discussed in detail in the first part of the book, before these positions are applied to a wide range of contemporary situations including business ethics, sexual ethics, and the acceptability of eating animals. A wealth of real-life examples, set out with depth and care, illuminate the complexities of different ethical approaches while conveying their modern-day relevance. This concise and highly engaging resource is tailored to the Ethics components of AQA Philosophy and OCR Religious Studies, with a clear and practical layout that includes end-of-chapter summaries, key terms, and common mistakes to avoid. It should also be of practical use for those teaching Philosophy as part of the International Baccalaureate. Ethics for A-Level is of particular value to students and teachers, but Fisher and Dimmock’s precise and scholarly approach will appeal to anyone seeking a rigorous and lively introduction to the challenging subject of ethics. Tailored to the Ethics components of AQA Philosophy and OCR Religious Studies.

Exam Board: OCR Level: A-level Subject: Biology First Teaching: September 2015 First Exam: June 2016 This is an OCR endorsed resource Encourage students to learn independently and build on their knowledge with this textbook that leads students seamlessly from basic biological concepts to more complicated theories. - Develop experimental, analytical and evaluation skills with activities that introduce the practicals required by OCR and other experimental investigations in Biology - Provide assessment guidance with synoptic questions and multiple choice questions throughout the book, and revision tips and skills all in one chapter - Strengthen understanding of key concepts with contemporary and engaging examples, illustrated with accessible diagrams and images - Give students the opportunity to apply their knowledge and understanding of all aspects of practical work with Test Yourself Questions and Exam Practice Questions - Offer detailed guidance and examples of method with a dedicated 'Maths in Biology' chapter and mathematical support throughout - Develop understanding with free online access to answers, an extended glossary, learning outcomes and topic summaries OCR A Level Biology Student Book 1 includes AS Level

Exam Board: OCR Level: A-Level Subject: Biology First Teaching: September 2015 First Exam: Summer 2016 With My Revision Notes: OCR A Level Biology A you can: - Manage your own revision with step-by-step support from experienced teacher and examiner Frank Sochacki - Apply biological terms accurately with the help of definitions and key words - Plan and pace your revision with the revision planner - Test understanding with questions throughout the book - Get exam ready with last minute quick quizzes available on the Hodder Education website

New 2017 Cambridge A Level Maths and Further Maths resources help students with learning and revision. Written for the OCR AS/A Level Mathematics specifications for first teaching from 2017, this print Student Book covers the content for AS and the first year of A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study.

This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

A detailed and comprehensive guide for growing and using gourmet and medicinal mushrooms commercially or at home. “Absolutely the best book in the world on how to grow diverse and delicious mushrooms.”—David Arora, author of Mushrooms Demystified With precise growth parameters for thirty-one mushroom species, this bible of mushroom cultivation includes gardening tips, state-of-the-art production techniques, realistic advice for laboratory and growing room construction, tasty mushroom recipes, and an invaluable troubleshooting guide. More than 500 photographs, illustrations, and charts clearly identify each stage of cultivation, and a twenty-four-page color insert spotlights the intense beauty of various mushroom species. Whether you’re an ecologist, a chef, a forager, a pharmacologist, a commercial grower, or a home gardener—this indispensable handbook will get you started, help your garden succeed, and make your mycological landscapes the envy of the neighborhood.

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