Practical
Artificial Intelligence
List of topics it is best to know for practical Machine Learning approach… Data mining framework: Tools: Visualisation Libraries: Evaluation metric: Model Hubs/Zoo: Hyperparameter Tuning: Outlier Detection: Resampling: EDA: Cross Validation: Feature Engineering: Feature selection: Ensemble Methods: Dimensionality...
CRISP-DMSEMMAAnaconda/minicondaStreamlitJupyter NotebooksMLflowWeights & Biasescomet.mlMatplotlibSeabornPlotlyPivotTable.js-Accuracy- Precision (P)- Recall (R)- F1 rating (F1)- Area under the ROC (Receiver Operating Characteristic) curve - Log loss- Precision at k (P@k)- Average precision at k (AP@k)- Mean average precision...
Artificial Intelligence
Published a practical book using ChatGPT…’ChatGPT-4 Artificial Intelligence Future World’
A practical book has been published to enable you easily understand artificial intelligence (AI), akin to ChatGPT and GPT-4, and learn tips on how to use it in 70 areas.
Ahn Jong-bae, a futurist and...
Artificial Intelligence
Pursuing a practical approach to research
Koroush Shirvan, the John Clark Hardwick Profession Development Professor within the Department...
Artificial Intelligence
Practical Approaches to Optimizng Budget in Marketing Mix Modeling
The way to optimize the media mix using saturation curves and statistical modelsBudget Optimization using the Trained ModelThe means of optimizing the budget using the trained model is sort of much like the previous...
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