The Number Crunch

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  • Agentic AI
    Artificial Intelligence, Deep Learning, Generative AI, Tech

    Agentic AI

    Written by

    Ashutosh Pathak

    on

    June 25, 2024

    Agentic AI is the talk of the town and every company wants a piece of it. Here’s my understanding of the topic and how it can be useful to you.…

  • Named Entity Recognition for Impact Evaluation
    Artificial Intelligence, Deep Learning, Generative AI, NLP, Tech

    Named Entity Recognition for Impact Evaluation

    Written by

    Ashutosh Pathak

    on

    June 22, 2024

    In this article, we’ll dive deep into the inner workings of EconBERTa, exploring how it tackles the challenges of named entity recognition in the economics domain. Discover how this model,…

  • Machine Learning in Production: Key Challenges
    Artificial Intelligence, Machine Learning, Tech

    Machine Learning in Production: Key Challenges

    Written by

    Ashutosh Pathak

    on

    June 21, 2024

    Have you wondered what happens when a machine learning model is deployed to production and is used extensively? If you have deployed to prod yourself, you probably know how to…

  • RNNs: Why Not Standard Networks?
    Artificial Intelligence, Deep Learning, NLP, Tech

    RNNs: Why Not Standard Networks?

    Written by

    Ashutosh Pathak

    on

    April 9, 2024

    In this article, I discuss the motivations behind the requirement of Recurrent Neural Networks outlining why we need them in the first place. This article is the second in the…

  • Sequence Models
    Artificial Intelligence, Deep Learning, Machine Learning, NLP, Tech

    Sequence Models

    Written by

    Ashutosh Pathak

    on

    March 9, 2024

    Sequence models are a class of machine learning models designed for the tasks that involve sequential data, where the order of elements in the input is important. There are many…

  • What is Machine Learning?
    Artificial Intelligence, Machine Learning, Tech

    What is Machine Learning?

    Written by

    Ashutosh Pathak

    on

    January 19, 2024

    Machine Learning (ML) is an exciting and ever-evolving field that sits at the intersection of computer science and statistics, offering tools and techniques that enable computers to learn from and…

  • What is zk-SNARK?
    Blockchain, SNARKs, Tech, zk Proofs

    What is zk-SNARK?

    Written by

    Ashutosh Pathak

    on

    June 26, 2023

    Introduction In the fast-paced world of blockchain technology, privacy and scalability remain two critical challenges. However, with the emergence of zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARK), the blockchain industry…

  • Generative AI: The Magic of AI
    Artificial Intelligence, Deep Learning, Generative AI, Tech

    Generative AI: The Magic of AI

    Written by

    Ashutosh Pathak

    on

    May 23, 2023

    Imagine being able to create realistic images of people who don’t exist, catchy headlines for any topic, or original music in any style. Sounds like science fiction, right? Well, not…

  • How to Ace Categorical Variables in Data Science
    Artificial Intelligence, Machine Learning, Python, Tech

    How to Ace Categorical Variables in Data Science

    Written by

    Ashutosh Pathak

    on

    January 15, 2023

    Processing categorical variables in machine learning can be a complex and daunting task, but it is essential to unlock the full potential of your data. This article covers best practices for working with categorical variables, from encoding…

  • Handle Missing Data In Machine Learning
    Artificial Intelligence, Machine Learning, Python, Tech

    Handle Missing Data In Machine Learning

    Written by

    Ashutosh Pathak

    on

    January 5, 2023

    Dealing with missing data is a common challenge in machine learning, as it can have a significant impact on the accuracy and reliability of the model. There are several approaches…

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The Number Crunch

The Number Crunch is a place where I document my exploration into AI, machine learning, and blockchain technologies.

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