Difference between revisions of "Forecasting"
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| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
| + | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| + | [http://www.google.com/search?q=Time+Series+forecasting+prediction+artificial+intelligence+Deep+Machine+Learning ...Google search] | ||
| + | [http://www.youtube.com/results?search_query=Time+Series+forecasting+prediction+artificial+intelligence+Deep+Machine+Learning Youtube search...] | ||
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| + | = Time Series Forecasting = | ||
| + | * [http://machinelearningmastery.com/tune-lstm-hyperparameters-keras-time-series-forecasting/ How to Tune LSTM Hyperparameters with Keras for Time Series Forecasting | Matt Dancho] | ||
| + | * [http://www.kdnuggets.com/2019/05/machine-learning-time-series-forecasting.html How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls | Vegard Flovik KDnuggeets] | ||
| + | * [http://www.kdnuggets.com/2019/05/machine-learning-time-series-forecasting.html How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls | Vegard Flovik - KDnuggets] | ||
| + | * [http://www.youtube.com/watch?v=d4Sn6ny_5LI Time Series Prediction - 8 Techniques | Siraj Raval] | ||
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| + | = Time Series Forecasting Methods - Statistical = | ||
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| + | = Time Series Forecasting - Deep Learning = | ||
| + | Applying deep learning methods like Multilayer Neural Networks and Long Short-Term Memory (LSTM) Recurrent Neural Network models to time series forecasting problems.[http://machinelearningmastery.com/get-good-results-fast-deep-learning-time-series-forecasting/ | Jason Brownlee - Machine Learning Mastery ] | ||
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| + | * [[Recurrent Neural Network (RNN)]] | ||
| + | * Continuous [[Restricted Boltzmann Machine (RBM)]] | ||
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| + | <youtube>9X_4i7zdSY8</youtube> | ||
| + | <youtube>hhJIztWR_vo</youtube> | ||
| + | <youtube>_vQ0W_qXMxk</youtube> | ||
| + | <youtube>hAlGqT3Xpus</youtube> | ||
| + | <youtube>dMUmHsktl04</youtube> | ||
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Revision as of 18:32, 12 September 2020
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Contents
Time Series Forecasting
- How to Tune LSTM Hyperparameters with Keras for Time Series Forecasting | Matt Dancho
- How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls | Vegard Flovik KDnuggeets
- How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls | Vegard Flovik - KDnuggets
- Time Series Prediction - 8 Techniques | Siraj Raval
Time Series Forecasting Methods - Statistical
Time Series Forecasting - Deep Learning
Applying deep learning methods like Multilayer Neural Networks and Long Short-Term Memory (LSTM) Recurrent Neural Network models to time series forecasting problems.| Jason Brownlee - Machine Learning Mastery
Demand Forecasting
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