Similarly initialise: → class_prior_probs: This stores the probabilities of an individual classes → feature_probs: This stores the feature probabilities or conditional probability. More on these 2 parameters later:
RESEARCH
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Naive Bayes: Independence Assumption and Parameter Initialization
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There reason why it called "naive" is it assumes the features are independent to each other. First, Let's initialise the parameters: → alpha: Just remember this as a smoothing parameter. Will explain it's importance later. → classes: To store the unique class labels.
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Claude 3 outperforms GPT-4 in creative writing and summarization
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Finding that Claude 3 is a better creative writer & summarizer than GPT-4. Nice to finally see some legit competition!
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Comprehensive Machine Learning Algorithms Book Recommendation
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Brilliant 798-page “Everything #ML from A to Z” book — I have a copy and I love it! >> "Mastering #MachineLearning #Algorithms" at http://
amzn.to/37cDZ7F by @GiuseppeB ——————
#Python #DeepLearning #AI #BigData #DataScience #DataMining #Mathematics #Coding #DataScientists -
Optimization Algorithms and Applications in Data Science
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#Optimization Algorithms & Applications
[link is in the tweet below]
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#BigData #DataScience #AI #Statistics #DataMining #ORMS #MachineLearning #Mathematics #Algorithms #PrescriptiveAnalytics -
Modeling Mindsets: Learning From Data Cultures and Approaches
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“Modeling Mindsets: The Many Cultures Of Learning From Data" by @ChristophMolnar at http://
amzn.to/3P3oNDs
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#DataScience #Statistics #DataAnalytics #MachineLearning #AI #DataScientists #BigData #Analytics -
CausalML Python Package for Statistical Inference
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RT @mdancho84 presenting the CausalML #Python package… #Inference #DataScience #MachineLearning #Statistics
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Criticism of intelligence measurement understanding
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Someone hasn't read "On the measure of intelligence"…
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AI Likeness Theft: Why Real Data Beats Pure Generation
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To replies asking: "Why did they steal her likeness rather than generating someone from scratch?"
— Alex J. Champandard 🌱 (@alexjc) 9 mars 2024
Because AI alone does not breach the uncanny valley. It has to be example-based to be anywhere close to trustworthy. (Ab)using real people and real content will remain necessary. https://t.co/LnUutk8n2yTo replies asking: "Why did they steal her likeness rather than generating someone from scratch?" Because AI alone does not breach the uncanny valley. It has to be example-based to be anywhere close to trustworthy. (Ab)using real people and real content will remain necessary.
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AI Interpretability: Training Data Uncertainty and Model Justification
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Was it in the training set? Who knows.
Did the color of the brick really suggest that it was Georgetown and not Philly? I have no idea.
Do the shrubs suggest the US and not Europe? Maybe. Asking the AI how it thought is a request for it to justify, not truth. The mystery remains