The following problem appeared in an assignment in the Princeton course COS 126 . The problem description is taken from the course itself.

Write a program that plots a Sierpinski triangle, as illustrated below. Then develop a program that plots a recursive patterns of your own design.…

ContinueAdded by Sandipan Dey on January 24, 2018 at 10:00am — No Comments

In this article a few simple applications of Markov chain are going to be discussed as a solution to a few text processing problems. These problems appeared as assignments in a few courses, the descriptions are taken straightaway from the courses themselves.

Added by Sandipan Dey on January 16, 2018 at 8:30pm — No Comments

This problem appeared as an assignment in the online coursera course * Convolution Neural Networks* by

In this assignment, we shall:

- Implement the neural style transfer algorithm
- Generate novel artistic images using our algorithm

Most of the…

ContinueAdded by Sandipan Dey on January 2, 2018 at 1:00pm — 2 Comments

- Solving a few AI problems with Python: Part 1
- Fourier Series and Differential Equations with some applications in R and Python
- Fourier Series and Differential Equations with some applications in R and Python (Part 2)
- Fourier Series and Differential Equations with some applications in R (Part 1)
- Solving Some Image Processing Problems with Python libraries - Part 3
- Solving Some Image Processing Problems with Python libraries - Part 2
- Solving Some Image Processing Problems with Python libraries - Part 1

- SIR Epidemic model for influenza A (H1N1): Modeling the outbreak of the pandemic in Kolkata, West Bengal, India, 2010
- Data Science with Python: Exploratory Analysis with Movie-Ratings and Fraud Detection with Credit-Card Transactions
- Autonomous Driving – Car detection with YOLO Model with Keras in Python
- Deep Learning with TensorFlow in Python
- Some Deep Learning with Python, TensorFlow and Keras
- Some Applications of Markov Chain in Python
- Some Social Network Analysis with Python

- Data (2)
- Learning (2)
- Python (2)
- Analysis (1)
- Astronomy (1)
- Chain (1)
- Classification (1)
- CrossMatching (1)
- Deep (1)
- Differential (1)
- Equation (1)
- Exploratory (1)
- Fourier (1)
- Machine (1)
- Markov (1)
- Math (1)
- Mathematical (1)
- Modeling (1)
- R (1)
- Science (1)
- Semisupervised (1)
- Tensorflow (1)
- Transform (1)
- Visualization (1)

© 2021 TechTarget, Inc. Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

- Book: Applied Stochastic Processes
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- How to Automatically Determine the Number of Clusters in your Data
- New Machine Learning Cheat Sheet | Old one
- Confidence Intervals Without Pain - With Resampling
- Advanced Machine Learning with Basic Excel
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Fast Combinatorial Feature Selection

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

**Archives:** 2008-2014 |
2015-2016 |
2017-2019 |
Book 1 |
Book 2 |
More

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions