I believe that the most common enterprise AI applications today aren’t the ones that solve the most important problems or make the most money. The most common applications are the ones that are easiest to evaluate. 1. Recommender system: evaluated by increase in engagement or
MACHINE LEARNING
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Daily Content Sharing on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me →
@Sumanth_077 I'm sharing daily content over here. -
TensorFlow Blog Tutorial Reference for Machine Learning
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Adding the blog from the Tensorflow team for more in-depth reference. https://
simplemlforsheets.com/tutorial.html -
Model Analysis Tools Summary Quality Tabs Evaluation Metrics
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You can even analyze and evaluate the model results. In the Summary tab, you can find info about the input features of the model. In the Quality tab, you can see evaluation metrics about the model and similar info about the Dataset and variable importance.
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Key Machine Learning Tasks: From Data Cleaning to Model Export
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What are all things you can do? – Predict Missing Values
– Spot Abnormal Values
– Train and Evaluate the Model
– Analyze and Interpret the Model Results
– Exporting the trained Model -
Simple Model Training in Just a Few Clicks
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It's easy to train a Model on your Data. Just a couple of clicks 1. Under What do you want to do? select Train a model.
2. Name your model.
3. Under Label select species. Select the target column and click Train. That's how simple it is to train a Model. -
Simple ML for Sheets: Easy Installation and Setup Guide
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It's simple to use. Go to the Extensions Tab in Sheets Get and install the add-on. "Simple ML for Sheets" Once you start the extension with the data in your Sheet. You will see the side panel as below!
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Simple ML for Sheets: Machine Learning Models in Google Sheets
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No Google Colab, No Jupyter Notebook! Introducing Simple ML for Sheets. Build Machine Learning Models right inside Google Sheets.
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Breakthrough Prize Awarded for AlphaFold Achievement
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A huge honour to have received the Breakthrough Prize with John Jumper for #AlphaFold. The ceremony was a wonderful and fun event, and great to see science popularised in the mainstream, hopefully it will help to inspire the next generation to get into research and science!
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LLMs can outperform humans via recall and fungible intelligence
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It’s for sure googlable, and many others could be reversed with rainbow tables. It is recall. Widespread fungibility of intelligence and recall means LLMs can at times zoom past human performance even on tasks the designers never considered. That’s what calculators don’t do.