time series
Artificial Intelligence
Evaluation of Sales Shift in Retail with Causal Impact: A Case Study at Carrefour
A store’s assortment is a whole and varied range of products sold to customers. It's subject to evolve based on various aspects corresponding to: economic conditions, consumer trends, profitability, quality or compliance issues, renewal...
Artificial Intelligence
Time Series Forecasting Made Easy (Part 3.2): A Deep Dive into LOESS-Based Smoothing
In Part 3.1 we began discussing how decomposes the time series data into trend, seasonality, and residual components, and because it is a smoothing-based technique, it means we want rough estimates of trend...
Artificial Intelligence
Hands-On Attention Mechanism for Time Series Classification, with Python
is a game changer in Machine Learning. In actual fact, within the recent history of Deep Learning, the thought of allowing models to deal with probably the most relevant parts of an input...
Artificial Intelligence
Time Series Forecasting Made Easy (Part 1): Decomposition and Baseline Models
I to avoid time series evaluation. Each time I took a web based course, I’d see a module titled with subtopics like Fourier Transforms, autocorrelation functions and other intimidating terms. I don’t...
Artificial Intelligence
The Rise of Time-Series Foundation Models for Data Evaluation and Forecasting
Time series forecasting plays a significant role in crucial decision-making processes across various industries resembling retail, finance, manufacturing, and healthcare. Nevertheless, in comparison with domains like natural language processing and image recognition, the combination...
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