Overview of Azure Firewall So we’re moving on to the next section that says Secure Monitor Networks, and it’s worth 15% to 20%. Now, obviously in the modern era, security of networks has to be top of mind for everyone. We all have heard of these terrible hacker incidents where data has been stolen, companies have been embarrassed, and so a lot of money is spent in security. If you decide when data specialize in security, you’re going to have a good career. But in this section of the course,…

Hyperledger Composer Playground If you talk about time it takes to travel from my home to office, and if I take number of readings and I note down and I plot the histogram of that, and then I will see that the time it takes from my home to office is normally distributed. There are lots and lots of examples related to normal distribution. Few properties of normal distribution are that normal distribution is symmetrically distributed. So this is symmetrical around the center, around the mean, and it has a…

Hyperledger Composer (depricated but still tested as far use case Poison distribution is also for discrete data and when I say discrete, that means the data is the count data here. So before we talk about poison distribution, let’s talk about the difference and similarities between binomial and poisoned distribution. Let’s talk about similarities first, both of these distributions are for discrete data and when I say discrete that means th counting. Both these measure the number of successes. So earlier also we said that in case of flipping a…

Deploy AWS with Hyperledger Fabric Part 3 (DEMO ONLY) No support & not on exam This we will be talking about number of distributions which are listed here. Normal distribution, binomial, poison, chi square, students, T and F distribution. A variable can be of two types, continuous or discrete. Continuous variable is a variable which can take any value. For example, if I talk about the height of students, height of student can be anything. Let’s say height of student could be 150 CM or 150. 1 CM or 150….

Deploy AWS with Hyperledger Fabric Part 1 (DEMO ONLY) No support & not on exam We also looked at factorials permutations and combinations. Now, coming to the second important topic which is central limit theorem. This is one of the important theorem or one of the important concept in statistics which you need to have very clear idea about. Some of the things which we will be discussing in this lecture might not make immediate sense to you you. So what I will suggest is as you go further into…

Whiteboard – Hyperledger Nodes What does Rule of Multiplication say? Is that the probability that event A and B both occur? If you want to find out the probability of A and B, then that is equal to probability of A multiplied by probability of event B given A has occurred. So let’s use the Venn diagram to understand this. So here is my Venn diagram. This is the total sample space. Now, here I have event A. And here I have event B. And when I say I want…

Whiteboard – Hyperledger Fabric Channels Two main things which we are doing here include the basic probability concepts and the second thing is central limit theorem. Let’s start with basic probability concepts. Here in basic probability concepts we will be talking about different types of events, independent events, mutually exclusive events, multiple rules, permutation and combinations. And even before these we will be talking about some basic concepts related to probability. Understand the definition of that? Understand? How do we calculate probability? Let’s start with the basic definition of probability….

Hyperledger Project Welcome to the second phase of DMAC process which is measure what we did in Defined, which was the previous phase, we defined the project. In defining the project, we looked at various things. Things such as benchmarking, which helped us in knowing what others best in class companies are doing. And we also talked about project management basics because this is a project which you want to manage. So we defined the starting and ending dates for each of these phases as a project management and probably…

Ethereum Browsers Now we will be talking about correlation and linear regression here in this topic in this topic of correlation and linear regression, we will be covering these four broad topics calculating correlation coefficient. We will understand what correlation coefficient is and how do we calculate that. We will talk about correlation versus causation and then we will look at linear regression equation. We will find out the linear regression equation and at the end we will be using that linear regression equation for estimating and prediction. Let’s start…

Ethereum Overview For Six Sigma, you use DMAC approach. And once again D in DMAC stands for define, m is for measure, a is for analyze, I for improve and C for control. So far in this course we have talked about defining line and measure phase. So now the next step is to analyze that data which you have collected in the measurement phase. In analysis of data, there are two broad things you could do. One is explore the data, look at the data from different points of…