1) Paste Python environment and pip list screenshots, look at everyone's readiness. Please will not have the conditions for the development of the reasons and plans.
A python environment
B pip list
2) Paste video study notes, requires real, not plagiarism, handwriting can take pictures.
Introduction A Machine Learning
B python basis
3) What is machine learning, what classification? With case, write your understanding.
answer:
A, machine learning, there are several definitions below:
(1) Machine learning is a science of artificial intelligence, the main object of study in the field of artificial intelligence, especially how to improve the performance of specific algorithms in the learning experience.
(2) Machine Learning is the study of the experience by automatically improved computer algorithms.
(3) is a machine learning data or past experiences, in order to optimize the performance of a standard computer program.
B, machine learning classification are the following:
1. Based on the classification of learning strategies
(1) simulate the human brain machine learning (2) direct mathematically machine learning
2. The method of classification based learning
(1) inductive learning (2) interpretation of the study (3) the Learning (4) Analysis of Learning
3. The classification is based on learning styles
(1) supervised learning (2) unsupervised learning (3) reinforcement learning
4. Classification based on the data in the form of
(1) Structure learning (2) Learning unstructured
5. Based on the classification of learning objectives
(1) Concept Learning (2) Learning Rule (3) Learning function (4) Category learning (5) Bayesian Network Learning
C, by learning these days, I think the future trend of machine learning, first, in order to develop a highly competitive applications, not just connect the data source, but need to do more things; Second, employers want employees not only understands the theory can also be programmed. Machine learning prospects are almost limitless.