Handling missing value in data is crucial. Questions arise how to deal with it, given a empty, Null, or large positive and large negative value are not easy to handle. How to use these values then, how to process the data after that. Some people deal with missing values by removing the rows or tuplesContinue reading “Handling Missing Values in Data in Python”
Tag Archives: AI
Now is time of AI based Sound Embeddings
Yes sound is where Artificial Intelligence needs to get in more deeper, given there are powerful language models, advanced image and text embeddings. Getting to have embeddings of sound is the next level of success, as per my suggestions. This is the latest in getting an AI based new name to a new born baby,Continue reading “Now is time of AI based Sound Embeddings”
Shortest Path in Text Data, AI-Exercise from Research Perspective
Here is next article, which is written from research perspective. The aim of article is to form a base to cover shortest path problems in Textual Data. Graph based algorithms have a huge potential to be used in Natural Language Processing and in many Graph based problems. In this article I introduce you how, howContinue reading “Shortest Path in Text Data, AI-Exercise from Research Perspective”
How Realistic is Automated AI based Image Generation: Art with DALL-E 2
Dall-E 2 is a new AI based toolkit that lets one make images which may not exist in real datasets on which this model was trained. It produces images given a text fragment or text description. This means given a statement, for example, “candles in air”, the AI system generates four or so images whichContinue reading “How Realistic is Automated AI based Image Generation: Art with DALL-E 2”
SVD on Text Embedding- AI Exercise
#AI-Exercise In this article you would find points to solve a exercise in AI in which further reduction of dimension shall be validated. The aim of this Exercise is to study text data in lower dimensions with text data represented in word embeddings. Compute the SVD of the matrix to analyze the impacts of usingContinue reading “SVD on Text Embedding- AI Exercise”
Sentence Vectors with various techniques: TF-IDF, LSA and Deep Learning, Spatially visualizing sentence vectors; With Python Code
#AI-excercise #ai #Excercise Comparing sentence vectors is interesting AI Exercise. This article takes text input, process it, and use three kinds of representations of the text data and does visualization of sentences in these three kinds of representations. The three kind of representations coved in this article are: 1. Tf Idf 2. Latent Semantic AnalysisContinue reading “Sentence Vectors with various techniques: TF-IDF, LSA and Deep Learning, Spatially visualizing sentence vectors; With Python Code”
Python Code for AI Exercise: Assigning Sentiment Assignments for unknown words with Large Language Models
#AI Excercise Github Link: Nidhika1121/LLM_Sentiments: LLM_Sentiments (github.com) Now, with this, exercise, sentiment can be assigned to the slangs in languages, even to unknown words, new words occurring in these times of app specific short words, added in our vocabulary. In last article, we saw the AI exercise what 5 class sentiment alignment means. However, theContinue reading “Python Code for AI Exercise: Assigning Sentiment Assignments for unknown words with Large Language Models”
Soft Rough Sets for Textual Data Analytics and Language Processing
Here, are some areas we have been working. You shall get glimpses of its workings. For any future work, help, suggestions, you can write to us. This article covers topics on Soft Rough Sets and it’s applications in Text Analytics and Language Processing. The coding shall use Python as much as it can.
Decision Trees and Futuristic Applications
Nidhika Yadav Abstract: Decision Trees (DT) are a familiar and important tool in AI applications. One must understand, that the use of DT extends much beyond its current scope. Hence futuristic applications are proposed in article. That is to say, the AI toolkit can be used in a variety of applications. The current article explainsContinue reading “Decision Trees and Futuristic Applications”
NLP Futuristic Applications, Use Cases, Research Areas. Lecture 1 – Focus on futuristic Keywords Selection algorithms and it’s possible applications.
Here are my lectures 1. Introduction, 2. Brief Illustration, on topic “NLP Futuristic Applications, Use Cases, Reseach Areas. Lecture 1 – Focus on futuristic Keywords Selection algorithms and it’s possible applications.” Here NLP applications are understood in preview of futuristic view points, future possibilities and future applications. These are here illustrated to understand the directionsContinue reading “NLP Futuristic Applications, Use Cases, Research Areas. Lecture 1 – Focus on futuristic Keywords Selection algorithms and it’s possible applications.”
Artificial Intelligence, Computer Science & Mathematics 