AI: A few diagrams illustrate the murky relationship between ARTIFICIAL intelligence and machine learning, knowledge discovery, data mining, statistics, pattern recognition, neurocomputing, and databases

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A few diagrams illustrate the murky relationship between ARTIFICIAL intelligence and machine learning, knowledge discovery, data mining, statistics, pattern recognition, neurocomputing, and databases

1, first of all to the practitioner’s own position

2, a preliminary understanding of artificial intelligence, machine learning, deep learning

(1), Artificial Intelligence

(2), the Machine Learning

(3), Deep Learning

3. Key technologies of ARTIFICIAL intelligence: Have an in-depth understanding of the relationship between artificial intelligence and machine learning, knowledge discovery, data mining, statistics, pattern recognition, neural computing, and databases

1. Machine learning

2. Computer vision

3) Natural language processing

(4) Robotics

1, first of all to the practitioner’s own position

Oh, I don’t know I don’t know, it’s still a leek, I can only import keras, sad……

2, a preliminary understanding of artificial intelligence, machine learning, deep learning

(1), Artificial Intelligence

Any technique that enables computers to mimic human intelligence, using logic, if-then rules,decision trees, and machine learning (including deep learning). Any technology that allows computers to mimic human intelligence using logic, if-then rules, decision trees, and machine learning, including deep learning.

(2), the Machine Learning

A subset of Al that includes abstruse statistical techniques that enable machines to improve at tasks with experience. The category includes deep learning. A subset of artificial intelligence, including esoteric statistical techniques, enables machines to improve tasks based on experience. This category includes deep learning.

(3), Deep Learning

The subset of machine learning composed of algorithms that permit software to train itself to perform tasks, like speech and image recognition, by exposing multilayered neural networks to vast amounts of data. It is a subset of machine learning that consists of algorithms that allow software to train itself to perform tasks, such as speech and image recognition, by exposing multiple layers of neural networks to large amounts of data.

3. Key technologies of ARTIFICIAL intelligence: Have an in-depth understanding of the relationship between artificial intelligence and machine learning, knowledge discovery, data mining, statistics, pattern recognition, neural computing, and databases

1. Machine learning

  • Data mining
  • The database
  • The information system
  • Information retrieval
  • Computer security and risk
  • The social network
  • Computational economics

2. Computer vision

  • Computer graphics
  • visualization
  • Virtual reality
  • Multimedia technology
  • The human-computer interaction

3) Natural language processing

  • Speech recognition

(4) Robotics

  • Knowledge Discovery in Database
  • Knowledge engineering
  • The Internet of things

Master and Doctoral student of artificial Intelligence, currently part-time working as AI technical consultant for many head AI companies at home and abroad. The company has more than 10 invention patents (6) and software Copyrights (9), several national certificates (2 national level 3 and 3 National Level 4), and more than 10 certificates related to “Artificial Intelligence Algorithm” competitions (including national, provincial and municipal level, 5 first prizes, 4 second prizes and 2 third prizes) successively. All the above are the first author, and have more than ten provincial and university level personal honor certificates. Is writing “artificial intelligence algorithm latest combat” book, has 370,000 words at present.