2 Video Views·Dec 2, 2023
This is an introductory lecture on R Software.
It discusses the popularity of R as a software, how to install R , the concepts of R console , library, etc.1. This is an introductory lecture on data science.
2. We try to answer the question: What is data science?1. This is an introductory lecture on R Software.
2. It discusses the popularity of R as a software, how to install R , the concepts of R console , library, etc.1. This lecture discusses how to assign values to variables in R.
2. Also we will learn how R can be used as a calculator for doing basic mathematical calculations.1. In this lecture, different operations on data vectors in R is discussed in detail.
2. It includes power operations, addition, subtraction, multiplication and so on.1. This lecture discusses how to assign values to variables in R.
2. Also we will learn how R can be used as a calculator for doing basic mathematical calculations.1. In this lecture, different operations on data vectors in R is discussed in detail.
2. It includes power operations, addition, subtraction, multiplication and so on.
Welcome to this course on probability for computer science. To put it simply probability
is merely the art of counting but in most of the context where probability is applied
it is far more intuitive for us human beings to talk about chance which is probability
than to talk about counting. So probability has a physical interpretation unlike counting.
So humans and hence computers use probability all the time for decision making. In fact
all our choices are intuitively based on certain probabilities that our brain calculates or
has learnt over time. So this is a crash course on the basic concepts of probability and some
of these concepts you would have heard of or even you would have applied in high school.
But the difference will be that in this course you will see many, many examples to do with
computer science and also many of these examples will be practical examples. So it will not
only brush up your understanding of probability but it will actually add to your insights
in probability. Probability is applied in particular in statistics. So statistical decision
making to make sense of surveys and in recent years it has been applied in machine learning,
artificial intelligence and so forth. Also there are many algorithms in computer science,
many practical algorithms which are probabilistic. So I hope that you will enjoy this course.
Thank you.
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