Computational Thinking How Computers Think Decide And Learn When Human Limits Start And Computers Champ Vol 1

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Computational Thinking How Computers Think Decide And Learn When Human Limits Start And Computers Champ Vol 1

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Author : Jorge Guerra Pires
language : en
Publisher: Jorge Guerra Pires
Release Date : 2022-07-05

Computational Thinking How Computers Think Decide And Learn When Human Limits Start And Computers Champ Vol 1 written by Jorge Guerra Pires and has been published by Jorge Guerra Pires this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-05 with Computers categories.

In 2013, I wrote a book[1]. At the time, I wanted to explain neural networks in simple terms, I had high school students at my mind. I have expressed my concerns that machine learning was dominating the world, and people had no idea about it, smartphones were not popular in Brazil, and started go gain attention as personal computers. Deep learning started to gain momentum on 2012, and nowadays is kind of the rule. At the time, YouTube was bad, pretty bad a must say: I used to save the links to my videos, as so I could avoid passing through the main page. . Computational thinking is synonymous of algorithms. I cannot think a single computational routine which is not an algorithm; after all, “computers are stupid”, they need to be told what to do even when it is abstract (e.g., machine learning). What is computational think, though? Think like this, a thought experiment: Suppose you give your result, from your model, to someone. Do you believe the person would be able to tell the difference between your solution, from your algorithm, and a human? If not, this is computational thinking. It is a machine (i.e., an algorithm, a routine), doing human-thinking work. As we are going to see based on Kasabov’s work, we may actually be able to send ‘thinking loads’ to computers in the future. Initially, this book supposes to be called computational intelligence. Nonetheless, I thought, we do not necessarily need ‘intelligence’ to build models, not in the sense to artificial intelligence or even human intelligence. Furthermore, as we shall learn from Daniel Kahneman and colleagues, we can achieve nice models for decision making even with simple models, when compared to humans; imagine what we can do with machine learning + cloud computing + databases (such as MongoDB and Firebase)! Possible public Web developers wanting to expand their horizon; here I am being modest, I feel any web coder should learn computational thinking, as so they can add intelligence to their “dummy” apps; People from computational intelligence, waiting to learn new tricks; Computer scientists for sure! I would recommend to computational biologists, and anyone interested in bioinformatics; Applied mathematics, and computational mathematician for sure; Anyone that is opened to new ideas, but has a minimum computer programming background; Maybe, medical doctors and biologists; one of my PhD advisors was a surgeon, with a PhD in mathematics; thus, we may have this profile in medicine and, especially, in biology; External resources and tricks My GitHub profile; Our sandbox; I have used links to my LinkedIn profile, to posts related to the discussions. Feel free to start a conversation on LinkedIn, or to connect! Just comment on the posts, and I will be noticed; I have used several external links, to articles online; this is in addition to the classical/academic reference standard; With Special release of “My selected assays from Medium on Computer programming, Artificial Intelligence” [1] Redes Neurais em termos simples: como aprendemos, pensamos e modelamos. https://www.academia.edu/18365339/Redes_Neurais_em_termos_simples_como_aprendemos_pensamos_e_modelamos?fbclid=IwAR3NLQt003L5QXZQNLSePIxJxUf7NbqsthEjj8rb1zgfpgEgzkiqoNfO0RY. Accessed on 30/06/22.

Punidos Por M Tricas

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Author : Jorge Guerra Pires
language : pt-BR
Publisher: Jorge Guerra Pires
Release Date : 2022-09-25

Punidos Por M Tricas written by Jorge Guerra Pires and has been published by Jorge Guerra Pires this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-25 with Young Adult Fiction categories.

“Outra observação feita por Taylor foi a de que a produtividade também está relacionada com o rendimento máximo do trabalhador.” Taylorismo Não consigo identificar com precisão quando começaram as métricas que vemos hoje, mas lembro de leituras em torno de Taylor (taylorismo), no meu curso de engenharia de produção. Lembro de fazer trabalhos onde se media tudo, lembro que a base do taylorismo era o tempo. A maioria das pessoas, mesmo que de forma inconsciente, fica intimidada com alguém que publica muito: geralmente, nem consideram os tópicos, as áreas e contexto. O número em si geralmente assusta. Seu eu disse para você que o Brasil toma um prejuízo anual de 10 milhões de reais, a palavra prejuízo vai ficar, sem nem mesmo colocar esse número em perspectiva: Alison Ledgerwood destaca nossa dificuldade de lidar com resultados negativos. Eu mesmo recusei um postdoc, olhando agora para trás, porque o pesquisador não publicava a anos. Ou seja, percebendo ou não, isso entra no nosso inconsciente. Ver a sessão desta obra “Publish or Perish na vida do jovem pesquisador”. ​ Alguns parecem argumentar que a publicação em massa (Publish or Perish), o produtivíssimo acadêmico, é uma contaminação do meio acadêmico desta forma de pensar, aparentemente iniciado nos Estados Unidos. Nessa lógica, tudo pode ser resumido a quantidade, quanto mais melhor. Toda métrica, pelo menos as que conhecemos hoje, simplifica a realidade: e o preço que se paga é a simplificação da inteligência, o achatamento da criatividade, a diminuição do intelecto humano. Deixando grande complexidade de fora: umas mais, outras menos, mas toda métrica procura simplificar o que é complicado. Geralmente, isso é feito para se tomar decisões: no mundo acadêmico, quem vai ganhar o financiamento da sua pesquisa, e mais ainda, quem vai ficar com o financiamento todo, em alguns casos. Coloca-se tanta fé na métrica que cometem o maior erro de investidores amadores: colocar todos os ovos na mesma cesta. Qualquer investidor minimamente educado sabe que devemos diversificar. Diz um dos maiores presidentes dos Estados Unidos "An Investment in knowledge pays the best dividends'' Benjamin Franklin. Por que da nossa obsessão com métricas? Por que estamos cada vez mais presos com métricas, criando armadilha sociais e autodestrutivas para todos? Como chegamos a um dos maiores acúmulos de capitais em mãos únicas da história sem poder fazer nada? Por que métricas justificam a meritocracia de forma errada? Por que queremos reconhecer financeiramente muitos profissionais como pesquisadores e professores, mas falhamos miseravelmente na prática? Por que insistimos em alimentar uma máquina que não produz riqueza real, somente artifícios monetários? Por que exploramos alguns em nome de outros, justificando com métricas fracas? O pior de tudo: por que exploramos os mais fracos e jovens em nome dessas métricas tortuosas? Infelizmente, essas são perguntas que eu mesmo gostaria de ter as respostas. Contudo, vou te apresentar alguns insights. Como vi Daniel Markovits dizer em The Meritocracy Trap: um dos maiores problemas de se criticar a meritocracia é a falta de uma forma alternativa. Eu sempre critiquei as provas dizendo “prova não prova nada”, e realmente não prova. Mas qual seria a alternativa? Acredito que deveríamos pelo menos tentar, mas preferimos manter o status quo, mesmo quando qualquer pessoa minimamente sensata percebe o problema e o precipício que estamos indo em direção. Mais em: https://www.jovempesquisador.com/m%C3%A9tricaslivro

Do Jumento Ao Einstein Chatty

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Author : Jorge Guerra Pires
language : pt-BR
Publisher: Jorge Guerra Pires
Release Date : 2023-04-05

Do Jumento Ao Einstein Chatty written by Jorge Guerra Pires and has been published by Jorge Guerra Pires this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-05 with Computers categories.

Uma das aplicações mais interessantes do ChatGPT como API é criar chatbots. Em questão de horas, você consegue criar um chatbot muito avançado, algo que levaria anos antes do ChatGPT. Nesse ebook, vamos explorar o ChatGPT como ferramenta para criar chatbots inteligentes usando a plataforma Wix. O sonho de criar máquinas que aprendem não é novo na humanidade, máquinas autônomas. Esse sonho somente perde para as especulações que surgem quando conseguimos, quando cai a ficha de que não é mais um sonho. Como um cachorro correndo atrás de um carro, ficamos confusos quando nos damos conta de que conseguimos. chatGPT pode ser uma das maiores inteligências artificiais criadas pela humanidade; e você pode usar ela em um chatbot pagando centavos. A quantidade de bots online, geralmente, conectados ao WhatsApp, são incríveis, pessoas oferecendo serviços de automação do WhatsApp baseado no chatGPT é incrível. Não visto o mesmo entusiasmo com a Wix, apesar de ser uma plataforma largamente usada. Eu vejo isso com bons olhos, isso gera emprego. Quando for criticar o chatGPT, lembre-se dessa nova leva de desenvolvedores. Muitos deles, sem experiência em programação. A Wix é perfeita para o chatGPT API porque ambas as tecnologias focam em pessoas que não sabem programar, ou possuem pouca experiência. Tenho a sensação, apesar de nunca fazer, de que não deva ser trivial para um não-programador integrar com o WhatsApp. Poderia perguntar alguém, mas a pessoa sempre responde baseado na própria experiência, uma tendência cognitiva. Eu mesmo tento, mas tenho dificuldades de estimar a dificuldade em programação dos alunos que atendo online, muitos(as) estão migrando para o mundo do desenvolvimento web[1]. Esse ebook acredito servir para não-programadores, mas posso estar errado. Estamos, talvez, na era dos chatbots, iniciadas com os “Jumentos”, mas agora vamos ter vários “Einstein Chatty”! Isso, mesmo para pequenos negócios! Esse ebook é minha humilde tentativa de contribuir para chatbots cada vez mais inteligentes, usando o chatGPT, ou outra inteligência artificial baseado em conversação de sua preferência. Boa leitura! Espero que seja um excelente desenvolvedor(a) com mais esse truque no seu cinturão de Batman! Jorge Ouro Preto, 2023.

Mindstorms

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Author : Seymour A Papert
language : en
Publisher: Hachette UK
Release Date : 2020-10-06

Mindstorms written by Seymour A Papert and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Education categories.

In this revolutionary book, a renowned computer scientist explains the importance of teaching children the basics of computing and how it can prepare them to succeed in the ever-evolving tech world. Computers have completely changed the way we teach children. We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers. Technology changes every day, but the basic ways that computers can help us learn remain. For thousands of teachers and parents who have sought creative ways to help children learn with computers, Mindstorms is their bible.

Popular Science

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Author :
language : en
Publisher:
Release Date : 2004-12

Popular Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12 with categories.

Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.

The Second Self

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Author : Sherry Turkle
language : en
Publisher: Touchstone
Release Date : 1984

The Second Self written by Sherry Turkle and has been published by Touchstone this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Business & Economics categories.

In The Second Self, Sherry Turkle looks at the computer not as a "tool," but as part of our social and psychological lives; she looks beyond how we use computer games and spreadsheets to explore how the computer affects our awareness of ourselves, of one another, and of our relationship with the world. "Technology," she writes, "catalyzes changes not only in what we do but in how we think." First published in 1984, The Second Self is still essential reading as a primer in the psychology of computation. This twentieth anniversary edition allows us to reconsider two decades of computer culture-to (re)experience what was and is most novel in our new media culture and to view our own contemporary relationship with technology with fresh eyes. Turkle frames this classic work with a new introduction, a new epilogue, and extensive notes added to the original text. Turkle talks to children, college students, engineers, AI scientists, hackers, and personal computer owners-people confronting machines that seem to think and at the same time suggest a new way for us to think-about human thought, emotion, memory, and understanding. Her interviews reveal that we experience computers as being on the border between inanimate and animate, as both an extension of the self and part of the external world. Their special place betwixt and between traditional categories is part of what makes them compelling and evocative. In the introduction to this edition, Turkle quotes a PDA user as saying, "When my Palm crashed, it was like a death. I thought I had lost my mind." Why we think of the workings of a machine in psychological terms-how this happens, and what it means for all of us-is the ever more timely subject of The Second Self. Book jacket.

Machine Learning

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Author :
language : en
Publisher:
Release Date : 2017

Machine Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Machine learning categories.

Building Cognitive Applications With Ibm Watson Services Volume 1 Getting Started

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Author : Dr. Alfio Gliozzo
language : en
Publisher: IBM Redbooks
Release Date : 2017-06-23

Building Cognitive Applications With Ibm Watson Services Volume 1 Getting Started written by Dr. Alfio Gliozzo and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-23 with Computers categories.

The Building Cognitive Applications with IBM Watson Services series is a seven-volume collection that introduces IBM® WatsonTM cognitive computing services. The series includes an overview of specific IBM Watson® services with their associated architectures and simple code examples. Each volume describes how you can use and implement these services in your applications through practical use cases. The series includes the following volumes: Volume 1 Getting Started, SG24-8387 Volume 2 Conversation, SG24-8394 Volume 3 Visual Recognition, SG24-8393 Volume 4 Natural Language Classifier, SG24-8391 Volume 5 Language Translator, SG24-8392 Volume 6 Speech to Text and Text to Speech, SG24-8388 Volume 7 Natural Language Understanding, SG24-8398 Whether you are a beginner or an experienced developer, this collection provides the information you need to start your research on Watson services. If your goal is to become more familiar with Watson in relation to your current environment, or if you are evaluating cognitive computing, this collection can serve as a powerful learning tool. This IBM Redbooks® publication, Volume 1, introduces cognitive computing, its motivating factors, history, and basic concepts. This volume describes the industry landscape for cognitive computing and introduces Watson, the cognitive computing offering from IBM. It also describes the nature of the question-answering (QA) challenge that is represented by the Jeopardy! quiz game and it provides a high-level overview of the QA system architecture (DeepQA), developed for Watson to play the game. This volume charts the evolution of the Watson Developer Cloud, from the initial DeepQA implementation. This book also introduces the concept of domain adaptation and the processes that must be followed to adapt the various Watson services to specific domains.

Reinforcement Learning

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Author : Richard S. Sutton
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Reinforcement Learning written by Richard S. Sutton and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.

Artificial Intelligence In Society

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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.