Free Udemy Course __ Machine Learning with TensorFlow on Google Cloud

Build, train, and deploy ML models with TensorFlow: A hands-on journey through Google Cloud's powerful infrastructure

4.5 (10,721 students students enrolled) English
data-science Machine Learning
Machine Learning with TensorFlow on Google Cloud

What You'll Learn

  • Master the foundational principles behind simple ML models such as Linear and Logistic Regression models using TensorFlow.
  • Construct intricate Artificial Neural Networks (ANN) to tackle more complex data challenges.
  • Design Convolutional Neural Networks (CNN) for image and pattern recognition tasks.
  • Harness the capabilities of Google Cloud's Colab to execute Python codes for ML tasks efficiently.
  • Explore the functionalities of Google Vertex and how it augments Jupyter notebook constructions.
  • Implement end-to-end machine learning workflows, from data preprocessing to model deployment

Requirements

  • Basic knowledge of Python and familiarity with Jupyter notebooks; beginners welcome, as foundational concepts are covered.

Who This Course is For

  • Aspiring data enthusiasts keen on exploring machine learning using TensorFlow.
  • Developers looking to leverage cloud infrastructure for ML tasks.
  • Professionals eager to combine TensorFlow's capabilities with Google Cloud.
  • Beginners seeking a structured introduction to ML on the cloud.
  • Experienced learners aiming to deepen their knowledge and skillset in the field of ML using TensorFlow on GCP.

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Start-Tech Academy

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