## What is Supervised Machine Learning? || Supervised Machine Learning techniques and algorithms. supervised machine learning
supervised machine learning is one of the method of machine learning which uses
various machine learning mathematical techniques to train the machine using data which is already labeled. someone can build supervised machine learning
algorithms from labeled training data to predict the same.

Some of the examples of supervised machine learning systems are self-driving cars,
expert systems, facial recognition programs, chatbots and robots which support future judgments.

following are the mathematical techniques that are used in building supervised
machine-learning algorithms.

1) Linear Regression
2) Logistic Regression
3) Decision Tree
4) Random forest
5) support vector machine

### Linear Regression:

The linear regression technique uses a linear mathematical formula/technique to predict the dependent
variable or output value. let us consider the following area vs price linear graph in order to understand
the Linear Regression technique.

i.e
y=m*x + b

where y=dependent variable
x=independent vairable
m=slope
c=y-intercept.
Here the area is the independent variable which is plotted on the x-axis and price is the dependent variable plotted on the y-axis. And the value of the dependent variable (i.e price) is predicted by an above linear mathematical formula i.e y=m*x + b.

Linear Regression is further classified into single variable Linear Regression and
multiple variables linear Regression depending upon the number of independent variables.

### Logistic Regression:

logistic regression  method uses logit  mathematical function i.e
f(x) = 1/(1 + exp(-x))

which helps to predict the probability of occurrence of an event by fitting data to this
logit function/(f(x) = 1/(1 + exp(-x))). And this logit function always predict the output value whose values lies in between
0 and 1.

Logistic Regression further classified into binary classification and multiclass
classification

the binary classification has only two distinct classes i.e binary classification
prediction is like true or false i.e it has only two options.

And selecting between more than two classes is called multiclass classification.

### Decision Tree:

the decision tree technique is a flowchart in which test on a feature is represented
by each internal node and each leaf node represents class label and branches
represent conjunctions of features that lead to those class labels.

and the syntax for the same looks like as above.

### Random Forest:

the supervised machine learning algorithm which is used for both classification
as well as regression is known as random forest

The basic syntax of the Random Forest algorithm is explained above with some code programmed in
anaconda navigator

### Support Vector Machine:

support vector machine is another supervised machine learning technique which is used for solving
highly non-linear problem using a kernel technique

support vector machine is abbreviated as SVM which is also known as a support vector network- a very powerful method of solving both linear and regression problems. In short, SVM is a discriminative
classifier which aims at finding decision boundaries that separate observations with differing class
memberships

the basic syntax of the support vector machine algorithm is shown above which is designed/programmed
in anaconda navigator.

1. Well explained... Easy to understand. . Thanks a lot for sharing your knowledge toward data science

2. 3. 4. 5. ### Self study vs coaching institute study | Why self study is better than coaching institute study

Especially in India around 95% studentsprefer to join tuition/coaching institute after theytook admission in schooland such type of students do all their work(such as solving any problem ,doing homework, preparing for any entrance exam and so on…) through their tuition/coaching institutes where as only 5% student prefer self study and they do all their work by themselves…

Image by Pete Linforth from Pixabay

Tuition/coaching institute students learn all their problem solving skills through teacher/coaching institute. And they have habit of solving only those problems which they have already been taught in their tuition/Coaching institute. They even don’t read books, Internet /Google to find the solution of their problem as they are totally dependent on their tuition/coachingteachers. Although they score 95% in exam but they are less creative and their self problem solving skills is very low. Such students are lazy and they only prepare themselves for job and nothing.....

Whereas self s…

### why human can not win War against artificial intelligence? || Human can't compete with Artificial Intelligence

why human can not win the war against artificial intelligence? || Human can't compete with Artificial Intelligence
as we everybody know at the current time humans are the smartest and most intelligent living species on the planet. Human intelligence
is much more as compared to other creature's intelligence. But does this mean human gonna remain No. 1 smartest and intelligent species on the planet forever?

well, according to my opinion humans not goona remain No. 1 intelligent species on the planet forever. but it is also true that no other living intelligent species of the planet gonna lead(beat) human intelligence. If it is no so then who gonna lead human intelligence.

And the answer is it's a neural network- a computer artificial intelligence
program/complex algorithm who gonna lead(beat) human intelligence so easily.

In fact, humans will be the only species who ended up themselves by their own invented/created computer program/Artificial Intelligence. Artificial
Intelligence …

### Elon Musk forced to step down as Tesla CEO due to his irresponsible tweet.

Elon Musk forced to step down as Tesla CEO due to his irresponsible tweet that he had “funding secured” to take Tesla private at \$420 per share as this his irresponsible behavior/tweet can do the company more harm than good.
Image by Daniel Oberhaus [CC BY-SA 4.0], via Wikimedia Commons

James Anderson (UK-based investment management investor) who holds a 7.5 percent stake in Tesla , reported to the German magazine that he “ Elon musk need not have to be CEO of Tesla anymore” as his irresponsible tweet can demotivate theTesla investor which can harm the company very rudely…