“My experience is that for every dollar of AI spend, you need $10 of engineering spend to make it work.” How about that for an eye-opener? While the world is laser-focused on data science, there is a HUGE opportunity to upskill and invest in the data engineering aspect. This is just one excerpt from our […]
Fractal, a global provider of artificial intelligence and advanced analytics solutions to Fortune 500® companies, today announced a huge US$ 360 million (~ INR 2700 crores) investment from TPG, a leading global alternative asset firm. The transaction is expected to close by the first quarter of 2022. What should you know about Fractal? Founded […]
This article was published as a part of the Data Science Blogathon. Table of Contents 1. Introduction 2. Types of Machine Learning Algorithms 3. Simple Linear Regression 4. Multilinear Regression 5. Logistic Regression 6. Decision Tree 7. SVM 8. KNN 9. K Means Clustering Introduction We all know how Artificial Intelligence is leading nowadays. Machine Learning […]
This article was published as a part of the Data Science Blogathon. Introduction Are you a Data Science enthusiast or already a Data Scientist who is trying to make his or her portfolio strong by adding a good amount of hands-on projects to your resume? But have no clue where to get the datasets from so […]
This article was published as a part of the Data Science Blogathon. Objective To learn how to use Amazon Sagemaker to Train and Deploy a Hugging Face Transformer Model. Prerequisites Basic Knowledge of AWS cloud and Hugging Face Transformers. Introduction Hugging Face is the most popular Open Source company providing state-of-the-art NLP technology. Amazon Sagemaker offers […]
This article was published as a part of the Data Science Blogathon. Objective This blog post will learn how to use the Hugging face transformers functions to perform prolonged Natural Language Processing tasks. Prerequisites Knowledge of Deep Learning and Natural Language Processing (NLP) Introduction Transformers was introduced in the paper Attention is all you need; it is […]
This article was published as a part of the Data Science Blogathon. Introduction Let’s say you are a large retailer like Walmart, D-Mart, and you may deal with thousands and thousands of products and each product will have a different sale cycle. For example, woollen clothes will have more sales in winter, and swimming gears more […]