Advanced Data Science & Machine Learning

by DataCouch Claim Listing

This will be a more advanced exploration of the libraries that developers will have been exposed to, deep learning, additional models, operationalization concerns of these systems, and the often-forgotten security aspects of data-driven systems.

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img Duration

3 Days

Course Details

This will be a more advanced exploration of the libraries that developers will have been exposed to, deep learning, additional models, operationalization concerns of these systems, and the often-forgotten security aspects of data-driven systems.

The goal will be to have as many hands-on activities as is feasible intermixed with a sufficient amount of theory to motivate the exercises.

 

Curriculum:

  • Deeper Data-Engineering Dives
  • SQL
  • Advanced Numpy
  • Advanced Pandas
  • Advanced Visualization
  • Deeper Deep Learning Dives
  • Keras and PyTorch
  •  CNNs
  •  Generative Models
  •  PyTorch Lightning
  • Model Exchange with ONNX
  • Additional Models
  •  Time Series Data
  • Classical Time Series Models
  • RNNs, LSTMs
  • PyTorch Forecasting
  • Anomaly Detection
  •  Ranking Models
  • Metrics
  • Models
  •  Multi-Modal Models
  • Representation
  • Alignment
  • Composaibility of Models
  • Modality Transference
  • Quantification
  • Multimodal Framework (MMF)
  •  NLP Models
  • Embeddings
  • Transformers
  • LMM and ChatGPT
  • MLOps and Security
  • Data Engineering Pipelines
  • Apache Airflow
  • Deployment Architectures
  • Continuous Learning
  • Handling Streaming Data
  • Security
  • Threat Taxonomies
  • Monitoring, Logging, and Alerting
  • Mohali Branch

    #7, LOWER GROUND, SBC EL COMMERCIO CITY CENTRE, Mohali

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