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What course of artificial intelligence? Will it replace human work?

2020-11-06 20:07:00 SXXpenguin

   What course of artificial intelligence ? How long does it take to learn ? With the coming of the age of artificial intelligence , There have been endless arguments about artificial intelligence replacing employment . Few people say that artificial intelligence will replace human beings 50% The job of , Artificial intelligence is not a direct substitute for professional jobs , It's a substitute for work .

   One 、 Zero basics of artificial intelligence learning

  1、 Introduction to artificial intelligence

  1-1 Introduction to artificial intelligence free trial

  1-AI The first choice of the times Python

  2-Python How can I learn

  3- The core of AI - machine learning

  4- Machine learning how to learn

  5- Algorithm derivation and case study

  2、Python Basic and Data Science Library

  2-1 Python Quick start

  2-2 Scientific Computing Library Numpy

  3、 Introduction to machine learning

  3-1 Linear regression algorithm

  3-2 Logic regression algorithm

  3-3 Gradient descent principle

  3-4 Case study :Python Realize logistic regression and gradient descent

  3-5 Case study : Credit card fraud detection

   Two 、 Advanced foundation of artificial intelligence

  1、 machine learning

   Machine learning , It's getting computers from a lot of real environments 、 Learn from information and past experience , Like human beings, we can get knowledge, experience and grow from it , So that the computer in the future encounter similar situations , Use the learned methods to judge and process .

   Compared with general machine learning , Deep learning requires more data 、 Tasks take longer 、 Need more computing power to support . Applications include speech recognition 、 Intelligent monitoring 、 Computer vision, etc .

  2、 Deep learning

   Deep learning , It's a subclass of machine learning , Its inspiration comes from the neural network of the human brain , It's a way of interpreting data that mimics the mechanism of deep neural networks in the human brain , For example, text 、 voice 、 Image, etc .

  3、 Reinforcement learning

   Reinforcement learning is also a kind of machine learning , Computers can learn from themselves like humans without explicit instructions , In the process of interaction with the environment, learning strategies are used to maximize the return or achieve specific goals . After getting enough study , After intensive learning, the computer can predict the results , Make the right judgment .

   Reinforcement learning is inspired by behavioral psychology , The system modifies its behavior by rewarding it for interacting with the environment , Constantly “ Trial and error ” Learn from experience , The goal is to maximize the reward . Recently, with the rapid improvement of computing speed and the stable development of deep learning architecture , Reinforcement learning has achieved a real leap .

   When the science of artificial intelligence is more mature , Estimated global 50% The content of our work can be intelligentized by improving the existing technology . The work that can be highly processed and data-based will be undertaken by AI first .

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