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

　　 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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