{"title":"Simon Rogers","description":"\u003cp\u003eSimon Rogers offers insightful explorations into the world of data, machine learning, and digital culture. His works bridge the gap between complex scientific concepts and practical understanding, making advanced topics accessible to readers with an interest in technology and data analysis.\u003c\/p\u003e\n\n\u003cp\u003eFrom foundational introductions to machine learning to thoughtful examinations of how we interact with digital platforms like Google, his books cater to those seeking a deeper understanding of the science behind modern information systems and their impact on society.\u003c\/p\u003e","products":[{"product_id":"a-first-course-in-machine-learning-by-simon-rogers-9781498738484","title":"A First Course in Machine Learning","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eA First Course in Machine Learning\u003c\/em\u003e by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigour and precision with accessibility, starting from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings and going all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC.\u003c\/p\u003e\n\n\u003cp\u003e—Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden\u003c\/p\u003e\n\n\u003cp\u003eThis textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade.\u003c\/p\u003e\n\n\u003cp\u003e—Daniel Barbara, George Mason University, Fairfax, Virginia, USA\u003c\/p\u003e\n\n\u003cp\u003eThe new edition of \u003cem\u003eA First Course in Machine Learning\u003c\/em\u003e by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modelling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts.\u003c\/p\u003e\n\n\u003cp\u003e—Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark\u003c\/p\u003e\n\n\u003cp\u003eI was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength… Overall, this is a pragmatic and helpful book, well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months.\u003c\/p\u003e\n\n\u003cp\u003e—David Clifton, University of Oxford, UK\u003c\/p\u003e\n\n\u003cp\u003eThe first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC, and mixture modelling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book.\u003c\/p\u003e\n\n\u003cp\u003e—Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK\u003c\/p\u003e\n\n\u003cp\u003eThis book could be used for junior\/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning… The book introduces not only the concepts but also the underlying ideas on algorithm implementation from a critical thinking perspective.\u003c\/p\u003e\n\n\u003cp\u003e—Guangzhi Qu, Oakland University, Rochester, Michigan, USA\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47604946960620,"sku":"9781498738484","price":163.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781498738484-a-first-course-in-machine-learning.jpg?v=1778115874"},{"product_id":"what-we-ask-google-by-simon-rogers-9781911709930","title":"What We Ask Google","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eWhat does the world's biggest dataset reveal about humanity's private thoughts and its burning questions? Google Data Editor Simon Rogers reveals the surprising and uplifting truth of what we Google around the world.\u003c\/p\u003e\n\n\u003cp\u003eEver wondered what goes through other people's minds - their silly questions, their inner anxieties, hopes and dreams? In \u003cem\u003eWhat We Ask Google\u003c\/em\u003e, Simon Rogers explores insights from the world's biggest dataset - an epic snapshot, two decades long and counting, of our collective brain. What it reveals about us might surprise you.\u003c\/p\u003e\n\n\u003cp\u003eEvery June, for instance, the UK sees a spike in searches for 'how to help a bee'. Reassuringly, people consistently want to know, 'How often can you donate plasma?' And despite superficial differences (such as the deeply divided world map of cat people vs dog people), humanity has a lot more in common than we often acknowledge - after all, everywhere around the world, it's 2am when parents want to know how to get their baby to sleep.\u003c\/p\u003e\n\n\u003cp\u003eBrimming with insights that vary from the playful to the profound, \u003cem\u003eWhat We Ask Google\u003c\/em\u003e delves into the momentous and the mundane secrets of what we ask when we get the chance to ask anything, offering a surprisingly hopeful picture of humankind.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Penguin Random House NZ","offers":[{"title":"Default Title","offer_id":47754228793580,"sku":"9781911709930","price":40.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781911709930-what-we-ask-google.jpg?v=1781660308"}],"url":"https:\/\/bookhero.co.nz\/collections\/simon-rogers.oembed","provider":"Book Hero","version":"1.0","type":"link"}