Heather Dawe

Set among the mountains and crags of the UK and North America, 'Dreams of Lost Buttresses' is a short-story collection that explores relationships between people and place, and the visceral connection of rock-climbers to the landscape around them. Tales of shapeshifting, falling, obsession, desire and the joy found in losing yourself on the rock.

Build and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfalls Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn ethical AI principles, frameworks, and governance Understand the concepts of fairness assessment and bias mitigation Introduce explainable AI and transparency in your machine learning models Book DescriptionResponsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness, and model governance. Throughout the book, you’ll gain an understanding of FairLearn and InterpretML, along with Google What-If Tool, ML Fairness Gym, IBM AI 360 Fairness tool, and Aequitas. You’ll uncover various aspects of responsible AI, including model interpretability, monitoring and management of model drift, and compliance recommendations. You’ll gain practical insights into using AI governance tools to ensure fairness, bias mitigation, explainability, privacy compliance, and privacy in an enterprise setting. Additionally, you’ll explore interpretability toolkits and fairness measures offered by major cloud AI providers like IBM, Amazon, Google, and Microsoft, while discovering how to use FairLearn for fairness assessment and bias mitigation. You’ll also learn to build explainable models using global and local feature summary, local surrogate model, Shapley values, anchors, and counterfactual explanations. By the end of this book, you’ll be well-equipped with tools and techniques to create transparent and accountable machine learning models. What you will learn Understand explainable AI fundamentals, underlying methods, and techniques Explore model governance, including building explainable, auditable, and interpretable machine learning models Use partial dependence plot, global feature summary, individual condition expectation, and feature interaction Build explainable models with global and local feature summary, and influence functions in practice Design and build explainable machine learning pipelines with transparency Discover Microsoft FairLearn and marketplace for different open-source explainable AI tools and cloud platforms Who this book is forThis book is for data scientists, machine learning engineers, AI practitioners, IT professionals, business stakeholders, and AI ethicists who are responsible for implementing AI models in their organizations.

Mountain Stories is an illustrated memoir of journeys through some of Scotland's most beautiful landscapes, including Skye's Cuillin, Knoydart, Assynt and the Far North. Writing during lockdown, author and artist Heather Dawe finds telling these stories a powerful means of reconnection with the mountains when they are physically inaccessible.

A Cycling Year takes its inspiration from an old map of Wharfedale in Yorkshire. Each month of the year writer and artist, Heather Dawe, rides a route around the roads and trails of this Yorkshire Dale. Illustrated with Dawe's paintings the routes come alive, as she explores the geography, history and beauty of the places she visits along the way.

With a back-story of running round the route of the classic Alpine journey the Tour de Mont Blanc, Heather Dawe explores the drive behind mountain running and racing, and how simply being in the mountains has inspired herself and other climbers, writers, artists and innovators through the years.

Inspired by Yorkshire's landscape and history, A Bicycle Ride in Yorkshire is an illustrated guide to the route of Le Tour Yorkshire â?? the start of the 2014 Tour de France, by cyclist, writer and artist Heather Dawe. It is a guide to riding the route, to the sights along the way and to the rich cycling heritage found on Yorkshire's roads.

Heather Dawe was 17 when she started running. A climber since youth, an obsession with wild places and the mountains was engrained in her DNA. An intensely deep and personal book, Adventures in Mind explores what what it takes to compete in adventure races; the training, sacrifice and mistakes that must be made in order to learn and develop.