Artificial Intelligence AI - Simply Explained for Beginners

Link : Artificial Intelligence AI - Simply Explained for Beginners 

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 Fundamentals of agent and multi-agent systems, neural networks, deep learning, machine learning & computer vision ✅
New
by Axel Mammitzsch

What you'll learn

•  🧬 You will learn to understand the structure and design of modern artificial intelligence systems.
• 🧠 You will learn to distinguish between strong and weak AI.
• 💡 You will learn what "Deep Learning" is.
• 💡 You will learn what "Deep Learning" is.
• 🔍 What is the structure of a problem.
• ⛓️ You will learn about forward and backward chaining.
• 📊 Learn about probabilities in expert systems.
• 🧠 You will learn about the human neuron.
• 💠 Learn about the layers in deep learning networks.
• 👁️ You will learn about machine vision / computer vision.

 Description

This video course on artificial intelligence is aimed at beginners and is designed to teach you the basics within the historical development of AI. For this reason, our journey begins with the section "Introduction and historical background of AI".

Link :  FUTURISTIC AI LAWS & DEVELOPMENTS - DR. PAVAN DUGGAL - CLU

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Futuristic Artificial Intelligence Laws and Development.
New
 by Dr. Pavan Duggal

In this course, students get to have a first-hand exposure to the various artificial intelligence legislations and legal provisions passed across the world.

Link :  Inteligência Artificial com JavaScript e TensorFlow.js

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Aprenda a Biblioteca de IA mais Famosa do Mundo EM SUA VERSÃO MAIS RECENTE do Básico ao Avançado com JavaScript
by Ben-Hur Varriano

What you'll learn

• Machine Learning, Deep Learning, Redes Neurais Artificiais, Redes Neurais Convolucionais, Redes Neurais Recorrentes, K-Nearest Neighbors, Teorema de Bayes, Visão Computacional, Classificação de Imagens, Detecção de Objetos em Imagens e Vídeos, Processamento de Linguagem Natural e todos os principais recursos do TensorFlow partindo do zero, do básico ao AVANÇADO.

Link :  PyTorch for Deep Learning with Python Bootcamp

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Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!
Bestseller
by Jose Portilla

What you'll learn

    Learn how to use NumPy to format data into arrays
    Use pandas for data manipulation and cleaning
    Learn classic machine learning theory principals
    Use PyTorch Deep Learning Library for image classification
    Use PyTorch with Recurrent Neural Networks for Sequence Time Series Data
    Create state of the art Deep Learning models to work with tabular data