Machine Learning Frameworks and Libraries

Some explanation

  • OpenAI
  • Google Bard
  • TensorFlow, PyTorch, Keras, CoreML
  • Prompt engineering
  • Scikit-learn, Numpy, Pandas
  • Librosa
Machine Learning Frameworks and Libraries
Machine Learning Frameworks and Libraries

Machine Learning Frameworks and Libraries

Some explanation

  • OpenAI
  • Google Bard
  • TensorFlow, PyTorch, Keras, CoreML
  • Prompt engineering
  • Scikit-learn, Numpy, Pandas
  • Librosa
Model Optimization and Deployment

Model Optimization and Deployment

Some explanation

  • Quantization for reducing model size and improving performance
  • Conversion of models to CoreML format for iOS
  • Conversion of models to TFLite format for Android
  • Model presentation using Flask
  • Queue structures for inference in production
  • Model Interpretability
Model Optimization and Deployment

Model Optimization and Deployment

Some explanation

  • Quantization for reducing model size and improving performance
  • Conversion of models to CoreML format for iOS
  • Conversion of models to TFLite format for Android
  • Model presentation using Flask
  • Queue structures for inference in production
  • Model Interpretability

Cloud and Infrastructure

Some explanation

  • Jupyter, Kaggle, Google Colab
  • Public cloud platforms and systems (AWS)
  • SageMaker
  • Serverless Computing of ML models
Cloud and Infrastructure
Cloud and Infrastructure

Cloud and Infrastructure

Some explanation

  • Jupyter, Kaggle, Google Colab
  • Public cloud platforms and systems (AWS)
  • SageMaker
  • Serverless Computing of ML models
Natural Language Processing (NLP) and Computer Vision

Natural Language Processing (NLP) and Computer Vision

Some explanation

  • Hugging Face and Transformers
  • Potential entry into the field of OCR
  • Image Classification
  • Object detection
  • LLM, ChatGPT
Natural Language Processing (NLP) and Computer Vision

Natural Language Processing (NLP) and Computer Vision

Some explanation

  • Hugging Face and Transformers
  • Potential entry into the field of OCR
  • Image Classification
  • Object detection
  • LLM, ChatGPT

Data Science Fundamentals

Some explanation

  • Data visualization
  • Data cleaning
  • Exploratory Data Analysis
  • Feature Engineering
Data Science Fundamentals
Data Science Fundamentals

Data Science Fundamentals

Some explanation

  • Data visualization
  • Data cleaning
  • Exploratory Data Analysis
  • Feature Engineering
Deep Learning and Transfer Learning

Deep Learning and Transfer Learning

Some explanation

  • Neural network and deep learning
  • Transfer learning
  • Generative Adversarial Networks (GANs)
Deep Learning and Transfer Learning

Deep Learning and Transfer Learning

Some explanation

  • Neural network and deep learning
  • Transfer learning
  • Generative Adversarial Networks (GANs)

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