Techniques
Artificial Intelligence
Boosting Model Accuracy: Techniques I Learned During My Machine Learning Thesis at Spotify (+Code Snippets)
A tech data scientist’s stack to enhance stubborn ML modelsThis text is certainly one of a two-part piece documenting my learnings from my Machine Learning Thesis at Spotify. You should definitely also try the...
Artificial Intelligence
Guide to Time Series Evaluation with Python — 1: Evaluation Techniques and Baseline Model Time Series Components Naive Prediction Random Walk Understanding if the Data is Stationary Autocorrelation Function When...
Time series evaluation is a technique utilized in various industries, equivalent to stock market prediction, product price forecasting, weather forecasting, cryptocurrency prediction, etc., to forecast future values based on historical data.Time series will be...
Artificial Intelligence
5 Best Deepfake Detector Tools & Techniques (July 2023)
Within the digital age, deepfakes have emerged as a big threat to the authenticity of online content. These sophisticated AI-generated videos can convincingly mimic real people, making it increasingly difficult to differentiate fact from...
Artificial Intelligence
Demystifying Topic Modeling Techniques in NLP Introduction Different Methods of Topic Modeling 01. Latent Dirirchlet Allocation (LDA) Implementation in Python: 02. Latent Semantic Evaluation 03. Non Negative Matrix Factorization 04. Parallel...
Welcome to this insightful article where we'll delve into the fascinating world of topic modeling. We’ll uncover the true essence of topic modeling, explore its inner workings, and discover why it has turn out...
Artificial Intelligence
The most effective optimization techniques to make ML model out perform — Part-2
This text is all about using the optimization techniques that we've discussed in our part-1 on a dataset with different algorithms. Finally we compare the various metrics of those algorithms after cross validating with...
Artificial Intelligence
Natural Language Processing Techniques What’s natural language processing ? The highest techniques utilized in NLP Applications Of NLP : Conclusion
NLP is a wealthy field requiring the usage of a variety of different techniques with a view to successfully process and understand human language. Below, we review and define the commonly used techniques in...
Artificial Intelligence
Techniques for training large neural networks
Pipeline parallelism splits a model “vertically” by layer. It’s also possible to “horizontally” split certain operations inside a layer, which is normally called Tensor Parallel training. For a lot of modern models (akin to the Transformer), the...
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