Remove 2018 Remove Exploratory Data Analysis Remove ML
article thumbnail

Predicting new and existing product sales in semiconductors using Amazon Forecast

AWS Machine Learning Blog

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We calculated the WAPE value of a model by splitting the data into test and validation sets.

article thumbnail

Mastering Large Language Models: PART 1

Mlearning.ai

Introduction of Large Language Models One of the most influential LLMs is the GPT (Generative Pre-trained Transformer) model, which was first introduced by OpenAI in 2018. The GPT model is based on a deep learning architecture called a transformer, which is designed to process sequences of data, such as natural language text.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Multivariate Time Series Forecasting

Mlearning.ai

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

article thumbnail

Best Colleges for Data Science Course Online in India

Pickl AI

As per the recent report by Nasscom and Zynga, the number of data science jobs in India is set to grow from 2,720 in 2018 to 16,500 by 2025. Top 5 Colleges to Learn Data Science (Online Platforms) 1. All in all, by completing the course, you will be a master of all the key Data Science tools and techniques.

article thumbnail

Linear Regression for tech start-up company Cars4U in Python

Mlearning.ai

In 2018–2019, while new car sales were recorded at 3.6 As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. million units, around 4 million second-hand cars were bought and sold.

Python 52
article thumbnail

Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” What can get less attention is the foundational element of what makes AI and ML shine. That’s data.

article thumbnail

Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” What can get less attention is the foundational element of what makes AI and ML shine. That’s data.