Dennis Kranmermachine-translation-life-and-business.hashnode.dev·Nov 22, 2024Machine Translation: A Glimpse into the FutureIn today’s fast-paced global landscape, translation services are the backbone of international communication, collaboration, and information exchange. As machine translation technology continues to evolve, it’s becoming a part of everyday life, offe...AI
Limesh Mahialdigitndreams.hashnode.dev·Oct 24, 2024Supply Chain Essentials: Cracking the Forecasting CodeForecasting in supply chain management might sound like a dry topic, but it’s a real game-changer! Imagine being able to predict what customers will want before they even know it themselves. That’s the magic of accurate forecasting, and it’s essentia...Supply Chain Management
Martyna SlawinskaforMindsDB Blogmindsdb.com·Mar 14, 2024Supercharge Your Forecasts with AI: An Overview of TimeGPTAI has radically reshaped predictive analytics, making forecasting more precise than ever before. Businesses in all industries are taking advantage, capitalizing on AI’s wide-ranging capabilities to anticipate future trends and prepare for what’s com...1.0K readspredictive analysis
Abraham Lunadsnotes.hashnode.dev·Feb 6, 2024Forecasting Model with Exponential SmoothingThis is the first article of a series to present different forecasting models. We will start by using the Exponential Smoothing model provided by statsmodels library. The dataset is the Alphabet Inc. daily stock prices that can be downloaded from Yah...27 readsforecast
Rohan Anandrohan-anand.hashnode.dev·Nov 11, 2023Univariate vs. Multivariate Approach in Time Series ForecastingTime series forecasting plays a pivotal role in various fields, especially in domains like power & energy consumption, stock price , weather forecasting etc. The choice of modeling approach can significantly impact the accuracy of predictions. In thi...45 readsPython
Tobias Steinhagenstonehagen.hashnode.dev·Aug 4, 2023Boosting Forecast Accuracy: Bilinear Interpolation in ActionWhere we left off In the last part, we installed our primary tool, grib2json, and learned how to obtain data from it. We also examined the data and explored the most important properties of the header. Additionally, we discussed the need to convert o...10 likes·36 readsJavaScript
Jessica Anna Jamesjessica1438.hashnode.dev·Apr 24, 2023Unlocking the Future with ARIMA:Your Key to Accurate Predictions and Better Decision-MakingWhat is ARIMA? ARIMA, also known as an "Autoregressive Integrated Moving Average" model is a time series forecasting Machine learning technique that is widely used in industries such as finance(stock market prediction, exchange rates), marketing(cust...54 readsData Science
Bhagirath Deshani bhagirathkd.hashnode.dev·Feb 10, 2023#103 Machine Learning & Data Science Challenge 103What are the techniques of Forecasting? There are so many statistical techniques available for time series forecast however we have found a few effective ones which are listed below: Simple Moving Average (SMA) Exponential Smoothing (SES) Autoregr...1 like·36 readsMachine Learning & Data Science Interview ChallengesMachine Learning
Bhagirath Deshani bhagirathkd.hashnode.dev·Feb 9, 2023#102 Machine Learning & Data Science Challenge 102Give some examples of the Time-Series forecast. There is almost an endless supply of time series forecasting problems. Below are ten examples from a range of industries to make the notions of time series analysis and forecasting more concrete. For...31 readsMachine Learning & Data Science Interview ChallengesMachine Learning
