Скачать или смотреть Can Deep Learning Be Used for Time Series Forecasting? | AI and Machine Learning Explained News

Can Deep Learning Be Used for Time Series Forecasting? In this informative video, we will dive into the fascinating world of time series forecasting and how deep learning is changing the game. We will discuss the importance of predicting future values based on historical data and how this practice is essential across various sectors, including retail, healthcare, and energy. You will learn about traditional forecasting methods and their limitations, which have led to the exploration of advanced techniques.

We will also introduce cutting-edge deep learning models that are making waves in the forecasting space. Discover how neural networks, particularly recurrent neural networks and transformers, are capable of identifying complex patterns in large datasets. You won't want to miss our discussion on TimesFM, a new model from Google Research that offers zero-shot forecasting capabilities.

Additionally, we will touch on the ethical considerations surrounding the use of artificial intelligence in forecasting, including data privacy and potential biases. As we venture into this topic, we aim to provide a balanced understanding of both the benefits and challenges associated with deep learning in time series forecasting. Join us for this enlightening discussion and subscribe to our channel for more engaging content on AI and machine learning.

⬇️ Subscribe to our channel for more valuable insights.

🔗Subscribe: https://www.youtube.com/@AI-MachineLe...

#DeepLearning #TimeSeriesForecasting #MachineLearning #NeuralNetworks #AI #DataScience #Forecasting #PredictiveAnalytics #GoogleResearch #TimesFM #ArtificialIntelligence #DataPrivacy #EthicsInAI #HealthcareForecasting #RetailAnalytics #EnergyDemand

About Us: Welcome to AI and Machine Learning Explained, where we simplify the fascinating world of artificial intelligence and machine learning. Our channel covers a range of topics, including Artificial Intelligence Basics, Machine Learning Algorithms, Deep Learning Techniques, and Natural Language Processing. We also discuss Supervised vs. Unsupervised Learning, Neural Networks Explained, and the impact of AI in Business and Everyday Life.