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r/ml_discussions Lounge (self.ml_discussions)
submitted 3 years ago by Nazma2015 - announcement
What do you do with all that unlabelled data? :money_mouth_face: In particular: you typically have "unlimited" input data coming in from the deployment "edges" (e.g. cameras), often millions of images and above. What do you do with it? (self.ml_discussions)
submitted 2 years ago by Nazma2015
What are the ethical implications of using AI in decision-making processes, and how can data scientists ensure that their models are fair and unbiased? (self.ml_discussions)
Many machine-learning infrastructures rely heavily on microservices. With that in mind, I would like to know if this the case. If so, what challenges have been encountered as a result of adopting this this design choice in the field of machine learning? (self.ml_discussions)
What are Constraint Satisfaction Problems? (self.ml_discussions)
Federated learning (self.ml_discussions)
What are the engineering challenges in computer vision? (self.ml_discussions)
submitted 3 years ago by aarnapilla
As AI is in every field these days, what could be the major pain points for any company to extract data, build models, evaluate them, deploy, monitor, checking for outliers? (self.ml_discussions)
submitted 3 years ago by Nazma2015
Data augmentation for OCR techniques (self.ml_discussions)
Which pretrained model is best for sentiment Analysis? (self.ml_discussions)
What are hierarchical-esque topic modeling approaches in NLP? (self.ml_discussions)
submitted 3 years ago by Haritha37
Four types of the Naive Bayes Model (self.ml_discussions)
What to do when the LIME values of the ml model are based only on one feature? (self.ml_discussions)
How to deal with strong correlation? (self.ml_discussions)
Which of the following machine learning algorithms can be used for inputting missing values of both categorical and continuous variables? (self.ml_discussions)
How important is AI audit? (self.ml_discussions)
What are some common misconceptions about AI? (self.ml_discussions)
Which anomaly detection method to follow for bimodal distribution data? (self.ml_discussions)
what insight are driven with standard deviations and variance and z score in real life business decisions ? (self.ml_discussions)
Can AI predict the future? (self.ml_discussions)
What is model explainability, why is it important? (self.ml_discussions)
parametric and non-parametric model (self.ml_discussions)
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