1597601340
Random Walk: Will the Drunk Man Fall Off the Cliff?
A drunk man standing on a cliff, takes steps randomly left and right. Each step he takes has a probability of going left and a probability of going right and the size of each step is same. If the drunk man is allowed to randomly step indefinitely, what will be the probability that he falls off the cliff?
Any guesses? Well, let’s again have a glimpse of this problem through “Random Walk”.
The Random Walk theory is based on the irregular motion of the individual pollen particles, studied by botanist, Mr. Robert Brown in 1828. In the process of researching on a random walk, scientists like Einstein and Smoluchowski studied similar subjects like random process, random noise, spectral analysis, and stochastic equations. The first simple model of Random Walk proposed was uncorrelated and unbiased.
- Uncorrelated means the direction of movement is completely independent of the previous directions taken.
- **_Unbiased _**means there is no preferred direction, the direction moved at each step is completely random.
“A random walk is a mathematical object, known as a stochastic or random process, that describes a path that consists of a succession of random steps on some mathematical space such as the integers.” (Source: Wikipedia)
It is a problem, which is closely related to Brownian motion.
Types of Random Walks
1. Correlated Random Walks (CRWs)
It involves a correlation between successive step orientations. This correlation is termed as **Persistence_. _**This produces a local directional bias, each step tends to point in the same direction as the previous one, although the influence of the initial direction of motion progressively diminishes over time and step, orientations are uniformly distributed in the long term. The nature of the motion of animals is similar, hence, CRWs have been constantly used to monitor motion paths of animals in various contexts.
#random-walk #data-science #gaussian-distribution #statistics #random #data analysis
What is GEEK
Buddha Community
1597601340
Random Walk: Will the Drunk Man Fall Off the Cliff?
A drunk man standing on a cliff, takes steps randomly left and right. Each step he takes has a probability of going left and a probability of going right and the size of each step is same. If the drunk man is allowed to randomly step indefinitely, what will be the probability that he falls off the cliff?
Any guesses? Well, let’s again have a glimpse of this problem through “Random Walk”.
The Random Walk theory is based on the irregular motion of the individual pollen particles, studied by botanist, Mr. Robert Brown in 1828. In the process of researching on a random walk, scientists like Einstein and Smoluchowski studied similar subjects like random process, random noise, spectral analysis, and stochastic equations. The first simple model of Random Walk proposed was uncorrelated and unbiased.
- Uncorrelated means the direction of movement is completely independent of the previous directions taken.
- **_Unbiased _**means there is no preferred direction, the direction moved at each step is completely random.
“A random walk is a mathematical object, known as a stochastic or random process, that describes a path that consists of a succession of random steps on some mathematical space such as the integers.” (Source: Wikipedia)
It is a problem, which is closely related to Brownian motion.
Types of Random Walks
1. Correlated Random Walks (CRWs)
It involves a correlation between successive step orientations. This correlation is termed as **Persistence_. _**This produces a local directional bias, each step tends to point in the same direction as the previous one, although the influence of the initial direction of motion progressively diminishes over time and step, orientations are uniformly distributed in the long term. The nature of the motion of animals is similar, hence, CRWs have been constantly used to monitor motion paths of animals in various contexts.
#random-walk #data-science #gaussian-distribution #statistics #random #data analysis
1625013180
Generate Random Numbers in Python
There are two types of random number generators: pseudo-random number generator and true random number generator.
Pseudorandom numbers depend on computer algorithms. The computer uses algorithms to generate random numbers. These random numbers are not truly random because they are predictable like the generated numbers using NumPy random seed.
Whereas, truly random numbers are generated by measuring truly physical random parameters so we can ensure that the generated numbers are truly random.
The pseudo-random numbers are not safe to use in cryptography because they can be guessed by attackers.
In Python, the built-in random module generates pseudo-random numbers. In this tutorial, we will discuss both types. So let’s get started.
Table of Contents
- Random number between 0 and 100
- Random number with a step size
- Random floating/double number in a range
- Random number from Iterable
- Using random.choice()
- Using randint()
- Using randrange()
- Excluding certain numbers from a range (Conditional choice)
- Random number of length N
- Random numbers in a two-dimensional array
- Random number probability
- Mean and standard deviation
- Negative random number
- Generate with duplicates
- Using randrange()
- Using choice()
- Generate without duplicates (Unique random numbers)
- Random number on circle
- Shuffle Numbers
- Generate true random number
#python #random #generate random numbers #random numbers #generate random numbers in python
1607499358
Amplify your dog walking service business with the uber for dog walking app
The advanced technology not just benefits businesses and users, but it also helps pets to avail the services in the app built with the latest technologies. The app is the one-stop solution for all the problems happening in everyday lives. Since people are in a busy lifestyle, they don’t get time to take care of their dogs. It is quite challenging for them to find the best and trustworthy dog walker taking full responsibility. For such issues, we have an on demand pet sitting app that helps dog walkers earn money and, at the same time, satisfies dog owners’ long demand.
Stats Report
Just like kids, pets are a part of the family for dog lovers. So, they need dog sitters and walkers to take care of them as dog owners don’t find enough time to take them out for a walk. With the increasing number of dog owners, the relevance and demand of a dog walking app is also increasing. The Reports and market metrics highlight that about 68% of households in the U.S have dogs.
We will discuss how to tap into this field by developing an app for dog walking for budding entrepreneurs.
Read More : https://www.appdupe.com/blog/amplify-your-dog-walking-service-business-with-the-uber-for-dog-walking-app/
#on-demand dog walking app #dog walking service app script #on-demand pet sitting app #on demand dog walking app development #uber for dog walking app development
1624701907
Where Does Your Organization Fall On the Data Literacy Curve?
We are awash in data. “Big data” is too small of a description. By 2025 an estimated 463 exabytes of data will be created globally each day.
Well aware of this, companies are ramping up their abilities to analyze data to make good decisions. A 2020 Research and Markets report put global spending on big data analytics at $180 billion, and a New Vantage Partners 2021 survey of executives said 92% say the pace of investment is accelerating, up from 40% the prior year.
Yet investing more money isn’t resulting in an equal return in results. Long-term progress on corporate data initiatives has declined, according to the New Vantage Partners study. Cultural challenges persist.
But balancing your employees’ knowledge of data while providing them the right tools to make the best use of that data plays a role, too. To move your organization forward, you need to take stock of where you now fall on the learning curve of data literacy.
#big data #latest news #where does your organization fall on the data literacy curve? #organization fall #data literacy curve #fall
1625222123
Develop an on-demand dog walking service app and decrease stress for pet owners
Keep pets highly active and healthy by creating an on-demand dog walking service app in collaboration with AppDupe. Pet owners can book numerous services like boarding, conducting exercises, feeding, health checkups, and playing games. We offer multiple features like a GPS tracking option, an integrated feedback system, a live chat facility, an online payment gateway, and the provision of 24x7 technical support. Hence, entrepreneurs can mint millions quickly by using our expertise to develop a modern on-demand dog walking service app.
#on-demand dog walking service app #on-demand dog walking app development #on-demand dog walking app #uber for dog walking