Best Hello World: Howto be Human in the Age of the Machine (English Edition)Author Hannah Fry – Z55z.co

I like Hannah Fry s writing style It is engaging and moved through the stories and information in a captivating way.The topics are serious and interesting, never boring It is a good challenge to consider the algorithms that we do not always put enough thought into.Worth a read, go for it. A Stylish, Thoughtful, And Scrupulously Fair Minded Account Of What The Software That Increasingly Governs Our Lives Can And Cannot Do A Beautifully Accessible Guide That Leaps Lightly From One Story To The Next Without Sparing The Reader Hard Questions Deserves A Place In The Bestseller Charts Oliver Moody The Times With Refreshing Simplicity, Fry Explains What AI, Machine Learning And Complicated Algorithms Really Mean, Providing Some Succinct Explanations Of The Cambridge Analytica Scandal, Driverless Cars And Many Other Unnerving Modern PhenomenaThis Book Illustrates Why Good Science Writers Are Essential Katy Guest Guardian Brilliantly ClearFry Succinctly Outlines The Ethical Issues That Beset AI James McConnaiche Sunday Times Hello World Is A Gem Of Accessible Science Writing With Eloquence And Charm, Hannah Fry Outlines The Maths Of Computer Algorithms And Explains How They Are Transforming Fields Such As Health, Justice, Transport And The Arts She Is A Wise Guide To The Benefits And Horrors Of Our Increasingly Data Driven World Alex Bellos, Author Of Alex S Adventures In Numberland Expertly Told, Wise And With A Lightness Of Touch, Hannah Fry S Brilliant Exploration Of How We Live Our Lives In The Age Of AI Will Prompt Arguments In Pubs And Over Dinner Tables For Years To Come Adam RutherfordOne Of The Best Books Yet Written On Data And Algorithmsserves A Place On The Bestseller Charts The Times You Are Accused Of A Crime Who Would You Rather Determined Your Fate A Human Or An Algorithm An Algorithm Is Consistent And Less Prone To Error Of Judgement Yet A Human Can Look You In The Eye Before Passing SentenceWelcome To The Age Of The Algorithm, The Story Of A Not Too Distant Future Where Machines Rule Supreme, Making Important Decisions In Healthcare, Transport, Finance, Security, What We Watch, Where We Go Even Who We Send To Prison So How Much Should We Rely On Them What Kind Of Future Do We Want Hannah Fry Takes Us On A Tour Of The Good, The Bad And The Downright Ugly Of The Algorithms That Surround Us In Hello World She Lifts The Lid On Their Inner Workings, Demonstrates Their Power, Exposes Their Limitations, And Examines Whether They Really Are An Improvement On The Humans They Are ReplacingA BBC RADIO BOOK OF THE WEEKSHORTLISTED FOR THE BAILLIE GIFFORD PRIZE AND ROYAL SOCIETY SCIENCE BOOK PRIZE Hello World is a straightforward, easy read, but there are so many interesting quandaries around the nature of our reliance on algorithms that Hannah Fry brings up for the reader to ponder She doesn t leave the reader hanging for too long, though, providing insight from both professional encounters and plenty of research What I liked most about the book was that Hannah keeps the stories centered around humans algorithms may seem all powerful to many, but the reality is that they are just tools made by flawed, tools we need to question in order for them to give us the greatest benefits. Hannah Fry has managed to draw from a range of topics to explore the applications, and their subsequent perils, of machine learning algorithms and techniques.The fact that we tend to blindly encode our old behavior into systems and assume them to be now be somehow superior because of their improved consistency or accuracy does not exclude the fact that we are encoding our prior biases and mistakes into an automated system Many such examples of where this can go horribly astray are listed although there is a refreshing amount of content describe the positive benefits, both actual and projected, of using these systems.I definitely recommend as a light read to those in the know with machine learning to reify the importance of recognizing and combatting bias but also to the layperson who wants a better understanding of what modern day advances in machine learning are doing, where they are still struggling, and how they still need improvement. It was pretty good In general, I thought the writing was good, and the subject matter important However, I m extremely familiar with these topics, so much of it was either known to me or slightly different cases than I already know It felt like a lighthearted version of Weapons Of Math Destruction which is excellent btw.If you re less familiar with algorithms, data products, and machine intelligence, this will likely be an interesting read.A few places I really appreciated were Fry s friendly writing, good examples, and obvious understanding.