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Accuracy and Loss
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Convergence
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Data Science vs Machine Learning vs Deep Learning
Datasets and Machine Learning
Distributed Training (TensorFlow, MPI, & Horovod)
Epochs, Batch Size, & Iterations
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Generative Adversarial Network (GAN)
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Overfitting vs Underfitting
Random Forest
Recurrent Neural Network (RNN)
Reproducibility in Machine Learning
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Structured vs Unstructured Data
Supervised, Unsupervised, & Reinforcement Learning
Synthetic Data
Tensor Processing Unit (TPU)
TensorBoard
Transfer Learning
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Amazon SageMaker
Expert (400)
Technical How-to
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Use Amazon SageMaker’s multi-model endpoints to carry out Machine Learning inference on erratic and unpredictable traffic.
March 7, 2024
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