.

In this blog, we shall discuss about how to build a neural network to translate from English to German. This problem appeared as the Capstone project for the coursera course “T**ensorflow 2: Customising your model**“, a part of the specialization “**Tensorflow2 for Deep Learning**“, by the Imperial College, London. The…

Added by Sandipan Dey on May 5, 2021 at 3:30am — No Comments

In this blog post, I shall discuss on a few NLP techniques with Bangla language, demonstrate how to train a word2vec model with Bangla wiki corpus with tensorflow, and explore how to visualize the semantic similarity between words using t-SNE. Once done, the article will focus on how to train a character / word LSTM on selected Tagore’s…

ContinueAdded by Sandipan Dey on January 27, 2021 at 1:00am — No Comments

In this blog we shall discuss about a few problems in artificial intelligence and their python implementations. The problems discussed here appeared as programming assignments in the edX course** ****CS50’s Introduction to Artificial Intelligence with Python…**

Added by Sandipan Dey on November 6, 2020 at 1:30am — No Comments

The following animation shows how the temperature changes on the bar with time (considering only the first 100 terms for the Fourier series for the square wave).…

Added by Sandipan Dey on July 12, 2020 at 10:00am — No Comments

This is the 2nd part of the article on a **few applications of Fourier Series in solving differential equations**. All the problems are taken from the **edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations**. The article…

Added by Sandipan Dey on July 4, 2020 at 5:00pm — No Comments

In this article, a few applications of Fourier Series in solving differential equations will be described. All the problems are taken from the **edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations**. The article will be posted in two parts (two separate blongs)

First a basic introduction to the Fourier series will be given and then we shall see how to solve the following ODEs / PDEs using Fourier series:

- Find…

Added by Sandipan Dey on July 4, 2020 at 5:00pm — 3 Comments

In this article a few more popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

As described here, here is the algorithm:

- The cumulative histogram is computed for each image dataset, see the figure below.
- For any…

Added by Sandipan Dey on August 16, 2018 at 1:30pm — No Comments

In this article a few more popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

Also, the spread in the frequency domain inversely proportional to the spread in the spatial domain. Here is the proof:…

ContinueAdded by Sandipan Dey on August 16, 2018 at 1:00pm — No Comments

In this article a few popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

- A
*gray-scale*image can be thought of a 2-D function*f(x,y)*of the pixel…

Added by Sandipan Dey on August 16, 2018 at 1:00pm — No Comments

This problem also appeared as an assignment problem in the coursera online course *Mathematics for Machine Learning: Multivariate Calculus. *The description of the problem is taken from the assignment itself.

In this assignment, we shall train a neural network to draw a curve. The curve takes *one input* variable, the…

Added by Sandipan Dey on May 31, 2018 at 10:00pm — No Comments

Although a support vector machine model (binary classifier) is more commonly built by solving a quadratic programming problem in the dual space, it can be built fast by solving the primal optimization problem also. In this article a *Support Vector Machine *implementation is going to be described by solving the *primal optimization…*

Added by Sandipan Dey on April 28, 2018 at 3:30pm — No Comments

In this article, couple of implementations of the support vector machine binary classifier with quadratic programming libraries (in R and python respectively) and application on a few datasets are going to be discussed.

The next figure describes the basics of Soft-Margin SVM (without kernels).

**SVM in a nutshell**

- Given a (training) dataset consisting of positive and negative class instances.
- Objective is to find…

Added by Sandipan Dey on April 23, 2018 at 9:30am — No Comments

In this article the multi-armed bandit framework problem and a few algorithms to solve the problem is going to be discussed. This problem appeared as a lab assignment in the edX course DAT257x: Reinforcement Learning Explained by Microsoft. The problem description is taken from the assignment itself.

Given a set of actions with some unknown reward distributions, …

ContinueAdded by Sandipan Dey on April 4, 2018 at 9:30am — No Comments

In this article, the problem of *learning word representations* with neural network from scratch is going to be described. This problem appeared as an assignment in the *Coursera course Neural Networks for Machine Learning*, taught by

In this article…

ContinueAdded by Sandipan Dey on March 18, 2018 at 12:00am — No Comments

In this article, ** object detection** using the very powerful

Added by Sandipan Dey on March 11, 2018 at 11:30pm — 3 Comments

In this article an implementation of the *Lucas-Kanade optical flow algorithm* is going to be described. This problem appeared as an assignment in a computer vision course from UCSD. The inputs will be sequences of images (subsequent frames from a video) and the algorithm will output an optical flow field (u, v) and trace the motion of the moving objects. The problem description is taken from the assignment itself.

Added by Sandipan Dey on February 28, 2018 at 11:30am — No Comments

In this article, an implementation of an efficient graph-based image segmentation technique will be described, this algorithm was proposed by Felzenszwalb et. al. from MIT. The slides on this paper can be found from Stanford Vision Lab.. The algorithm is closely related…

ContinueAdded by Sandipan Dey on February 28, 2018 at 11:30am — No Comments

This article is inspired by this SIGGRAPH paper by Levin et. al, for which they took this patent , the paper was referred to in the course CS1114 from Cornell. This method is also discussed in the coursera online image processing course by NorthWestern University. Some part of the problem description is taken from the paper itself. Also, one can refer to the implementation provided by the authors in matlab, the following …

ContinueAdded by Sandipan Dey on February 13, 2018 at 1:00pm — No Comments

In this article, *interactive image segmentation* with *graph-cut* is going to be discussed. and it will be used to segment the source object from the background in an image. This segmentation technique was proposed by Boycov and Jolli in this paper.

Let’s implement…

ContinueAdded by Sandipan Dey on February 13, 2018 at 10:30am — No Comments

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

- Neural Translation – Machine Translation with Neural Nets with Keras / Python
- NLP with Bangla: Generating Text and Sentiment Analysis
- 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

- 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
- Deep Learning with TensorFlow in Python: Convolution Neural Nets

- 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)
- NLP (1)
- R (1)
- Science (1)
- Semisupervised (1)
- Tensorflow (1)
- Transform (1)
- Visualization (1)

- 10 Scrum benefits and how to realize them
- 5 proven patterns for resilient software architecture design
- Microsoft's acquisition of Nuance clears antitrust hurdle
- The right to disconnect vs. America's always-on culture
- The enterprise advantages of automated data collection
- Today's blockchain use cases and industry applications
- Salesforce Industries rolls out banking AI compliance tools
- DataRobot integrates AI modeling tools with Snowflake
- M&A wave rising in hot AI market
- AWS analytics helps nonprofit fight climate change

Posted 17 June 2021

© 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