Don't let your students miss out on easy marks, prepare them for those Maths questions with this essential guide. Written specifically to build students' confidence in maths and to prepare them for the more challenging mathematical requirements which make up 15% of the new DT specifications. - Improve confidence with structured progression of worked examples, guided and non-guided questions, and worked solutions for every question - Strengthen students' maths skills and subject understanding with worked examples and practice questions all embedded in the subject context - Develop exam confidence with exam-style maths questions - An essential tool throughout the AS and A Level course with every maths skill mapped to subject topics, and applicable to every major exam board - Reviewed by subject and maths expert Glyn Granger (former D&T chief examiner)

Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Engineers, data scientists, and students alike will examine mathematical topics critical for AI--including regression, neural networks, optimization, backpropagation, convolution, Markov chains, and more--through popular applications such as computer vision, natural language processing, and automated systems. And supplementary Jupyter notebooks shed light on examples with Python code and visualizations. Whether you're just beginning your career or have years of experience, this book gives you the foundation necessary to dive deeper in the field. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices, mathematical logic, optimal control, and more Learn how to adapt mathematical methods to different applications from completely different fields Gain the mathematical fluency to interpret and explain how AI systems arrive at their decisions

Assuming no prior mathematical knowledge, this approachable and straightforward text covers the essential mathematical skills needed by business and management students at undergraduate and MBA level. Clare Morris uses a clear and informal narrative style with examples, painlessly leading the reader through fundamental mathematical principles. Also available is a companion website with extra features to accompany the text, please take a look by clicking below - http://www.palgrave.com/business/morris/index.html

Today's graduates are required to be well-equipped in professional skills, study skills and emotional competency. This textbook is specifically written for business & management students to help them identify and focus on the specific skills relevant to their area of study and future careers.

A clear and concise introduction to statistics for business and management students, demonstrating how important statistics are in the business decision-making process and covering everything from conducting a survey and collecting data, to summarizing statistical data, and presenting findings. Each chapter features a real-world business situation and accompanying dataset, the reader is then encouraged to identify the correct statistical concept in the chapter and solve the problem outlined. Offering students a chance to use the newly learned theory in a practical way. New to the second edition: A "Review of Essential Mathematics" prologue, featuring tests and further links to help students refresh their knowledge of the core mathematical concepts used to calculate basic statistics. Updated screenshots on using IBM SPSS and Excel. A "Statistics in the Real World" feature included at the end of each chapter, demonstrating how statistics are applied in real-world business settings and research, accompanied by reflective questions. Updated case studies, examples and diagrams, illustrating key points and helping to reinforce learning. The book is accompanied by free online resources including step-by-step video tutorials on how to use Excel and IBM SPSS, datasets and worked solutions, an Instructors’ Manual, Testbank, and PowerPoint presentation slides for lecturers. Essential reading for business students wanting to know how to use statistics in a business setting.