Software Engineering Using Firestore Database with React App We will build the react app which shows the visitor details and stores the visitor detail in database . For the database , we will use firebase firestore. We will add the feature to delete records in database as well.
Machine Learning (ML) Different Basic Operations in CNN We have explored the different operations in CNN (Convolution Neural Network) such as Convolution operation, Pooling, Flattening, Padding, Fully connected layers, Activation function (like Softmax) and Batch Normalization.
Software Engineering Guide to deploy a Python Web app on Heroku This is a guide on how to deploy a web application based on a Python framework (like Flask) using an HTTP server like Gunicorn on Heroku (a PaaS).
Software Engineering Designing and implementing Binary Tree in JavaScript We have investigated the fundamentals and use of double trees/ Binary tree and how to implement Binary Tree in JavaScript along with all basic operations of binary tree in JavaScript.
Machine Learning (ML) ResNet50 v1.5 architecture ResNet50 v1.5 is the modified version of the original ResNet50 model. ResNet50 v1.5 is slightly more accurate (0.5%) and slightly lower performance (down by 5%) compared to ResNet50.
Machine Learning (ML) BERT base vs BERT large BERT base model has 12 encoder layers stacked on top of each other whereas BERT large has 24 layers of encoders stacked on top of each other.
Machine Learning (ML) The Idea of Indexing in NLP for Information Retrieval We have explored the fundamental ideas for Information Retrieval that is Indexing Data. We have covered various types of indexes like Term document incidence matrix, Inverted index, boolean queries, dynamic and distributed indexing, distributed indexing and Dynamic Index.
Machine Learning (ML) Wide and Deep Learning Model Wide and Deep Learning Model is a ML/ DL model that has two main components: Memorizing component (Linear model) and a Generalizing component (Neural Network) and a cross product of the previous two components. Wide and Deep Learning Model is used in recommendation systems.
Machine Learning (ML) RoBERTa: Robustly Optimized BERT pre-training Approach RoBERTa (Robustly Optimized BERT pre-training Approach) is a NLP model and is the modified version (by Facebook) of the popular NLP model, BERT. It is more like an approach better train and optimize BERT (Bidirectional Encoder Representations from Transformers).
Machine Learning (ML) Filtering spam using Naive Bayes Naive Bayes is a Bayes Theorem-based probabilistic algorithm used in data analytics for email spam filtering. In this article, we have explored the step to filter spam using Naive Bayes in depth.
Software Engineering Capitalize letters in Python In this article, we have covered how to capitalize the first letter using capitalize() in Python, convert the entire string to upper-case, convert the entire string to lower-case and capitalize first letter of each word.
Machine Learning (ML) Disadvantages of GANs || Am I real or a Trained Model to write? We have explored the problems with GANs in this article and have divided them into two major parts: General Problems with GANs and Technical Disadvantages of GANs.
Machine Learning (ML) Elastic Net Regularization Elastic Net Regularization is a regularization technique that uses both L1 and L2 regularizations to produce most optimized output. This is one of the best regularization technique.
Software Engineering Implementation of ls command in C In this article, we have implemented the ls command in C using dirent header library. ls command is used to list the files and directories in a given location.
Machine Learning (ML) BERT and SEARCH: How BERT is used to improve searching? In this article, we have explored how BERT model can be used to improve search results in search engines like Google Search, Bing and others.
Machine Learning (ML) Introduction to Multilingual BERT (M-BERT) We explored what is Multilingual BERT (M-BERT) and see a general introduction of this NLP model.
Machine Learning (ML) Heaps' law in NLP for Frequency of Words Heap's Law in NLP is a relation between the number of unique words to the total number of words in a document. It is, also, known as Herdan's law.
Software Engineering Introduction to Single Page Applications with Flask and AJAX Let us have a look at what single-page applications are and how can we create one using AJAX, with Flask as the back-end.
Software Engineering How Email Systems Are Designed? Through this article, you will get a good insight into "How Email Systems like GMail and Outlook are Designed?". The key is to understand that email is a default way of communication on the web and is not same as a instant messaging platform.
Software Engineering Strings in Python [Complete Guide] In this article, we will learn how to implement strings in Python and explore the various string operations that we can use.
Machine Learning (ML) Zipf's Law in NLP According to Zipf's law, the frequency of a given word is dependent on the inverse of it's rank . Zipf's law is one of the many important laws that plays a significant part in natural language processing.
Software Engineering List of Top Users in CodeForces In this article, we will make a list of all the users of Codeforces and store their information in a JSON file. We will use the json and urlib.request library of python for the purpose.
Software Engineering File Hosting Service in Django In this article, we will learn to create a file hosting service webpage in Django wherein one can host their files on the local server and generate a shareable URL link to access the file.
Software Engineering Basic Bits hacks in Python We have covered several basic bit hacks in Python which everyone should know to write optimized code. Tricks include find sign of an integer, negate an integer and more.
Software Engineering Typecasting in C We have explored Typecasting in the C language. The definition, categories of Typecasting, Why it is used and How, along with many examples so that it will be easy to understand.
