Welcome to Data Science
From past few years, we are hearing about a buzzing word Artificial intelligence what exactly AI i am going to explain about this
As we are traveling into the 21st century there are a lot of technology advancements, Automation cuts down the operating cost of the company.
Statistics, Programming, Machine learning, Neural networks combine to form Artificial intelligence.
I am going to explain about each element in AI.
Statistics:
Statistics are a collection of statistical tools which are used to quantitative describe or summarize a collection of data
Descriptive statistics aim to summarize and as such can be distinguished from inferential statistics which are more predictive in nature
Programming:
Python and R programming is extensively used in analyzing data, R is statistical programming language to analyze and visualize data
Machine learning:
ML is a field of computer science that uses statistical techniques to give computer systems the ability to learn with data, without being explicitly programmed
We have some ML algorithms which are used to solve the classification and Regression problems
Supervised learning:
1.Linear regression
2.Logistic regression
3. k-means clustering
4.Decision trees
5.Naive Bayes
Unsupervised learning
6.SVM
7.KNN
Artificial Intelligence:
Theory and development of computer systems able to perform tasks normally requiring human intelligence such as visual perception, speech recognition, decision making, and translation between languages
The main purpose of Ai is the intelligence of the machine that could successfully perform any intellectual task that a human being can
As we are traveling into the 21st century there are a lot of technology advancements, Automation cuts down the operating cost of the company.
Statistics, Programming, Machine learning, Neural networks combine to form Artificial intelligence.
I am going to explain about each element in AI.
Statistics:
Statistics are a collection of statistical tools which are used to quantitative describe or summarize a collection of data
Descriptive statistics aim to summarize and as such can be distinguished from inferential statistics which are more predictive in nature
Programming:
Python and R programming is extensively used in analyzing data, R is statistical programming language to analyze and visualize data
Machine learning:
ML is a field of computer science that uses statistical techniques to give computer systems the ability to learn with data, without being explicitly programmed
We have some ML algorithms which are used to solve the classification and Regression problems
Supervised learning:
1.Linear regression
2.Logistic regression
3. k-means clustering
4.Decision trees
5.Naive Bayes
Unsupervised learning
6.SVM
7.KNN
Artificial Intelligence:
Theory and development of computer systems able to perform tasks normally requiring human intelligence such as visual perception, speech recognition, decision making, and translation between languages
The main purpose of Ai is the intelligence of the machine that could successfully perform any intellectual task that a human being can
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