Takeaways
Artificial Intelligence
3 Sorts of Seasonality and The best way to Detect Them What’s seasonality? Three Sorts of Seasonality Tests for seasonal time series Key Takeaways
There are three kinds of seasonal patterns that may emerge in time series. Seasonality might be deterministic or stochastic. On the stochastic side, seasonal patterns might be either stationary or not.All these seasonality will...
Artificial Intelligence
5 Deep Learning Mistakes and Find out how to Avoid Them The Legend of the Overfitting Monster Key takeaways to slay the Overfitting Monster: The Sorcery of...
If I were to let you know that mastering the art of deep learning involves greater than just avoiding a handful of mistakes, you would possibly roll your eyes or think, “Oh, thanks for...
Artificial Intelligence
Time Series for Climate Change: Using Deep Learning for Precision Agriculture Precision Agriculture Hands-on: Spatio-Temporal Forecasting of Dew Point Temperature using Deep Learning Key Takeaways
In the remainder of this text, we’ll forecast dew point temperature in several locations. You’ll learn the way to construct a spatio-temporal forecasting model using deep learning.The total code for this tutorial is accessible...
Artificial Intelligence
The Major Takeaways from Sam Altman’s Testimony to Congress
The rapid advancement of artificial intelligence (AI) technologies has dramatically reshaped our world, from the best way we communicate and work to how we make decisions and solve problems. As these technologies turn into...
Artificial Intelligence
Linear Regression In Depth (Part 2) Multiple Linear Regression Definition Closed-Form Solution Multiple Linear Regression Example Linear Regression in Scikit-Learn Analyzing the Regression Errors Gradient Descent The SGDRegressor Class Key Takeaways
Deep Dive into Multiple Linear Regression with Examples in PythonLet’s reduce the training rate from 0.01 to 0.001 by changing the parameter eta0 of the SGDRegressor:pipeline.set_params(reg__eta0=0.001)Let’s refit the pipeline to the training set and...
Artificial Intelligence
Deep Learning for Forecasting: Preprocessing and Training Deep Learning for Forecasting Using many time series for deep learning Hands-On Using Callbacks for Training a Deep Neural Network Key Take-Aways
train deep neural networks using several time seriesDeep neural networks are iterative methods. They go over the training dataset several times in cycles called epochs.Within the above example, we ran 100 epochs. But,...
Artificial Intelligence
Understanding Time Series Trend Understanding Trend Easy methods to Detect Trend Easy methods to Take care of Trend Key Takeaways
Deterministic trends vs stochastic trends, and the right way to take care of them
Artificial Intelligence
Automated profile picture moderation at BlaBlaCar using Deep Learning Profile picture moderation at BlaBlaCar Designing an automatic pipeline Give attention to the BlaBlaCar-specific classification task Key takeaways
A story of how we drastically reduced manual profile picture moderation at BlaBlaCar.Greater than to the BlaBlaCar carpooling platform in 2022. This represents roughly 53k pictures per day.These profile pictures help in...
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