AI Unraveled Audiolivro Por Etienne Noumen capa

AI Unraveled

Demystifying Frequently Asked Questions on Artificial Intelligence

Amostra

Assine e ganhe 30% de desconto neste título

R$ 19,90 /mês

Teste grátis por 30 dias
R$ 19,90/mês após o teste gratuito de 30 dias. Cancele a qualquer momento.
Curta mais de 100.000 títulos de forma ilimitada.
Ouça quando e onde quiser, mesmo sem conexão
Sem compromisso. Cancele grátis a qualquer momento.

AI Unraveled

De: Etienne Noumen
Narrado por: Danielle Hickson
Teste grátis por 30 dias

R$ 19,90/mês após o teste gratuito de 30 dias. Cancele a qualquer momento.

Compre agora por R$ 17,99

Compre agora por R$ 17,99

Confirmar a compra
Pagar usando o cartão terminado em
Ao confirmar sua compra, você concorda com as Condições de Uso da Audible e a Política de Privacidade da Amazon. Impostos, quando aplicável. PRECISA SER AJUSTADO
Cancelar

Sobre este áudio

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. In this audiobook, we will explore the world of artificial intelligence and answer the most commonly asked questions about it. From what is artificial intelligence to how it is transforming industries, this book will help you demystify and understand this cutting-edge technology. So let's dive in and unravel the world of artificial intelligence.

Chapter one: Introduction to Artificial Intelligence:

In this chapter, we'll explore the basics of artificial intelligence, including what it is, how it works, and the different types of AI. We'll also discuss the history of AI and how it has evolved over the years.

Chapter two: Machine Learning:

Machine learning is a subset of artificial intelligence that involves training computer programs to learn from data. In this chapter, we'll dive deeper into what machine learning is, how it works, and the different types of machine learning algorithms.

Chapter three: Deep Learning:

Deep learning is a type of machine learning that uses artificial neural networks to learn and make decisions. In this chapter, we'll explore what deep learning is, how it works, and the different types of deep learning algorithms.

Chapter four: Natural Language Processing:

Natural language processing is a field of artificial intelligence that focuses on enabling machines to understand and interpret human language. In this chapter, we'll explore what natural language processing is, how it works, and its applications in various industries.

Chapter five: Computer Vision:

Computer vision is a field of artificial intelligence that focuses on enabling machines to see and interpret visual data. In this chapter, we'll explore what computer vision is, how it works, and its applications in various industries.

Chapter six: AI Ethics and Bias:

Artificial intelligence is a powerful technology that has the potential to transform industries and improve our lives. However, it also raises important ethical and bias concerns. In this chapter, we'll explore the ethical implications of AI and the challenges of preventing bias in AI systems.

Chapter seven: AI in Industry:

Artificial intelligence is already transforming various industries, including healthcare, finance, manufacturing, and transportation. In this chapter, we'll explore the different ways AI is being used in these industries, the benefits it offers, and the challenges that must be addressed.

Chapter eight: AI and Society:

Artificial intelligence has the potential to have a significant impact on society, from improving our quality of life to transforming the job market. In this chapter, we'll explore the social implications of AI and how it is changing the way we live and work.

Chapter nine: The Future of AI:

Artificial intelligence is an exciting and rapidly evolving field, and its future is full of possibilities. In this chapter, we'll explore the trends and developments shaping the future of AI and what we can expect to see in the years to come.

©2023 Etienne Noumen (P)2023 Etienne Noumen
Ciência da Computação

O que os ouvintes dizem sobre AI Unraveled

Nota média dos ouvintes. Apenas ouvintes que tiverem escutado o título podem escrever avaliações.

Avaliações - Selecione as abas abaixo para mudar a fonte das avaliações.