如何学习机器学习 (Definition of ML)
作者:互联网
Objectives:
1. Being able to identify machine learnming applications
2. Being able to program machine learning algorithms
3. Being able to create a machine learning application
4. Being able to improve the performance of a machine learning application
ML APP in our everyday life:
(Automatic Diagnosis of Diseases 自动疾病诊断)
(Artificial Neural Networks-ANN 智能神经网络)
1. Voice search
2. Handwritten character recognition
3. Face detection and face recognition
4. Fingerprint verification
Definition of ML
1. ML is a set of methods that can automatically detect patterns模式 in data,
and then use the uncovered无覆盖的 patterns to predict future data.
Example:Face detection
2. ML is concerned with the question of how to construct the computer programs that
automatically improve themselves with experience.
Example: Automatic diagnosis of diseases
3. We have a model defined up to some parameters, and learning is the execution of a
computer program to optimize the parameters of the model using the training data.
Example: Artificial neural networks
4. The model may be predictive to make predictions in the future, or descriptive to gain
knowledge from data, or both.
标签:Definition,Being,ML,able,学习,machine,learning,data 来源: https://blog.csdn.net/weixin_38134491/article/details/96577084