N-gated Hacker NewsJun 17, 2025
🎉 Behold! The future of time series forecasting: Graph Transformers 🕵️‍♂️✨ Because why use simple methods when you can complicate everything with graph structures and machine learning sorcery? 🙄🔮
https://kumo.ai/research/time-series-forecasting/ #GraphTransformers #TimeSeriesForecasting #MachineLearning #Innovation #TechTrends #DataScience #HackerNews #ngated
Time Series Forecasting with Graph Transformers - Kumo

Time series forecasting is a cornerstone in modern business analytics, whether it is concerned with anticipating market trends, user behavior, optimizing resource allocation, or planning for future growth. This blog post will dive into forecasting on graph structured entities, e.g., as obtained from a relational database, utilizing not only the individual time series as signal but also related information.

Hacker NewsJun 17, 2025

Time Series Forecasting with Graph Transformers

https://kumo.ai/research/time-series-forecasting/

#HackerNews #TimeSeriesForecasting #GraphTransformers #AIResearch #MachineLearning #DataScience

Time Series Forecasting with Graph Transformers - Kumo

Time series forecasting is a cornerstone in modern business analytics, whether it is concerned with anticipating market trends, user behavior, optimizing resource allocation, or planning for future growth. This blog post will dive into forecasting on graph structured entities, e.g., as obtained from a relational database, utilizing not only the individual time series as signal but also related information.

Olusegun OyekanmiMay 24, 2025

Quantifying Cryptocurrencies Unpredictability: A Comprehensive Study of ... https://youtu.be/VuC5NWcTR9I?feature=shared via @YouTube #btc #bnb #eth #ltc #xrp #machinelearning #timeseriesforecasting #deeplearning #cryptocurrencies #naivemodels

https://www.youtube.com/watch?v=VuC5NWcTR9I&utm_source=flipboard&utm_medium=activitypub

Posted into Blockchainology @blockchainology-OluOyekanmi

Quantifying Cryptocurrencies Unpredictability: A Comprehensive Study of Complexity and Forecasting

YouTube
CoListyJan 16, 2025

Master Advanced Analytics with SAS Viya | CoListy
Learn advanced analytics, machine learning, and AI with SAS Viya. Optimize models, forecasting, and more. | CoListy
#freeonlinelearning #colisty #courselist #sasviya #advancedanalytics #predictivemodeling #machinelearning #timeseriesforecasting #optimization #aialgorithms #generativeai #imagedata #textdata #streamingdata #modelops #trustworthyai

https://colisty.netlify.app/courses/sas-analytics_-getting-started/

Master Advanced Analytics with SAS Viya

Learn advanced analytics, machine learning, and AI with SAS Viya. Optimize models, forecasting, and more. | CoListy

Data BloggerMar 7, 2024
Why (and how) you should create a baseline model before you train your final model #TimeSeriesForecasting #DataScience #Python 📈📚 https://towardsdatascience.com/baseline-models-in-time-series-c76d44a826b3
Alex ZapDec 12, 2023

#Python #TimeSeriesForecasting
#MachineLearning #AI #DataScience #PredictiveAnalytics
We compare performance of TSA models: the 3 best performing models are Prophet, SARIMAX, and Holt-Winters.
#Sales #SalesStrategy #SalesTips #SalesProductivity

http://newdigitals.org/2023/12/12/evaluation-of-ml-sales-forecasting-tslearn-random-walk-holt-winters-sarimax-garch-prophet-and-lstm/

Evaluation of ML Sales Forecasting: tslearn, Random Walk, Holt-Winters, SARIMAX, GARCH, Prophet, and LSTM

The data science project involves evaluating various sales forecasting algorithms in Python using a Kaggle time-series dataset. The forecasting algorithms include tslearn, Random Walk, Holt-Winters…

VictoriaMetricsNov 29, 2023

Anomaly detection for time series data: Advanced techniques & model applications!

In this 3rd blog post in the series, our colleague Fred Navruzov highlights the conceptual frameworks and methodologies (like time series forecasting, statistical proximity and more), their strengths, weaknesses and applicability based on the nature of the available data.

Read the post here: https://victoriametrics.com/blog/victoriametrics-anomaly-detection-handbook-chapter-3/

#anomalydetection #timeseries #timeseriesforecasting #timeseriesanalysis #statistics

Anomaly Detection for Time Series Data: Techniques and Models

This blog post series centers on Anomaly Detection (AD) and Root Cause Analysis (RCA) within time-series data. In Chapter 3, we delve into a variety of advanced anomaly detection techniques, encompassing supervised, semi-supervised, and unsupervised approaches, each tailored to different data scenarios and challenges in time-series analysis.