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Accuracy and Loss
Activation Function
AI Chips for Training and Inference
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Artificial General Intelligence (AGI)
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Automated Machine Learning (AutoML)
CI/CD for Machine Learning
Comparison of ML Frameworks
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Containers
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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Features, Feature Engineering, & Feature Stores
Generative Adversarial Network (GAN)
Gradient Boosting
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Machine Learning Models Explained
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Metrics in Machine Learning
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Model Drift & Decay
Model Training
Overfitting vs Underfitting
Random Forest
Recurrent Neural Network (RNN)
Reproducibility in Machine Learning
REST and gRPC
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Structured vs Unstructured Data
Supervised, Unsupervised, & Reinforcement Learning
Synthetic Data
Tensor Processing Unit (TPU)
TensorBoard
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Improving AI Interaction Utilizing Qwen-Agent: A Novel Machine Learning Structure for Sophisticated LLM Implementations
March 11, 2024
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