The equation of linear regression is similar to that of the slope formula. We have learned this formula before in earlier classes such as a linear equation in two variables. Linear Regression Formula is given by the equation Y= a + bX We will find the value of a and b by using the ...
What is the difference between relation and function in discrete maths? x+y=2 2x+3y=4 whats the solution Which pattern of numbers is exponential? How do I find out if a linear equation has one solution, no solution, or an infinite number of solutions?
What is meant by translation in maths?Answer and Explanation: A translation is when you take a shape and just slide it to a different location. Sometime, in elementary schools, they actually call a translation a "slide". You do not turn the shape at all and you do not flip it over....
Let’s take an example of math and science. Engineers use maths while they need to make the balanced and working machine. Whenever a mechanical engineer builds a bike, a car, or any vehicle, they use math and advanced physics concepts. Math is used to solve queries related to geometry or...
Research examining the joint relationships between test anxiety, metacognition, and mathematics achievement revealing the mediational role of metacognition in the relationship between test anxiety and mathematics achievement is sparse. A mediation study was designed to redress this imbalance. The Children’s...
. The task of determining such a linear combination is a standard linear programming task, for which many computer software packages exist. Any single such inequality is not too difficult to resolve by hand, but there are applications in which one needs to check a large number of such inequali...
This is a helpful post and motivational. I am going for PG in Data Analytics and this post motivated me to overcome many self beliefs and doubts. I was in double minds on whether to go for PG or not considering lack of practice in Maths/Stats and new concepts of ML (R and Python)....
•Both multiple linear and multiple logistic regression can fit a model where one (or more) predictor (independent) variable is categorical with three or more levels. PriSm automatically creates new variables ("dummy variables", one fewer than the number of levels) to use in regression. Options...
If you want to stand out from other data miners, learning Machine Learning is essential. To identify patterns in the data, maths basics are mandatory to figure out numbers, ratios, correlation, and regression steps. One must have database concepts like schemas, relationships, and Structure Query...
Regression in his Coursera Machine Learning Course). The main reason you would want to use an SVM instead of a Logistic Regression is because your problem might not be linearly separable. In that case, you will have to use an SVM with a non linear kernel (e.g. RBF). ...