Skill

Build DNN, LSTM, and CNN Forecasting Models

December 2024 with Jonathan Barrios

  • 10 videos
  • 46 mins
Join Jonathan Barrios as we learn how to predict future events based on historical data. DNNs, LSTMs, and CNNs are neural network models that are especially good at examining past data and making future predictions – we're going to practice with them.

Recommended Experience
  • Familiarity with Python programming
  • Basic understanding of machine learning workflows, especially model building and optimization
  • Knowledge of time-series data and challenges with it, like trend and periodicity
Related certifications
  • Professional TensorFlow Developer
Related Job Functions
  • Machine learning engineer
  • Data scientist
  • AI Developer
Jonathan Barrios brings over a decade of teaching experience to deliver cutting-edge programming, data analytics, data science, and machine learning skills to CBT Nuggets.
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Jonathan Barrios
Jonathan Barrios
Trainer

Skill Outline

  1. 1. Explore the Sunspots Dataset on Kaggle and Wikipedia (5:14)
  2. 2. Considering Model Architecture and the 11 or 22 Year Cycles? (4:18)
  3. 3. Compare LSTM and Bidirectional Model Architecture (5:48)
  4. 4. Best of Both Worlds: LSTM ❤️ CNN (4:25)
  5. 5. Challenge (9:19)

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