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  1. Learn and apply fundamental machine learning concepts with the Crash Course, get real-world experience with the companion Kaggle competition, or visit Learn with Google AI to explore the...

  2. Sep 12, 2023 · A new and improved version of Machine Learning Crash Course is coming in August 2024. Stay tuned!

  3. Mar 2, 2018 · The course develops intuition around fundamental machine learning concepts. What does the course cover? MLCC covers many machine learning fundamentals, starting with loss and gradient descent, then building through classification models and neural nets. The programming exercises introduce TensorFlow.

  4. May 14, 2024 · Before beginning Machine Learning Crash Course, do the following: If you're new to machine learning, take Introduction to Machine Learning. This short self-study course introduces...

  5. Machine Learning Crash Course. A hands-on course to explore the critical basics of machine learning. Problem Framing. A course to help you map real-world problems to machine...

  6. Machine Learning Crash Course. A hands-on course to explore the critical basics of machine learning. Problem Framing. A course to help you map real-world problems to machine...

  7. Feb 24, 2023 · Machine learning researchers use the low-level APIs to create and explore new machine learning algorithms. In this class, you will use a high-level API named tf.keras to define and train...

  8. Learn how to implement the latest machine learning and artificial intelligence technology by exploring training on Vertex AI, BigQuery, TensorFlow, Cloud Vision, Natural Language API, and more....

  9. May 14, 2024 · This page lists the exercises in Machine Learning Crash Course. The majority of the Programming Exercises use the California housing data set . Programming exercises run directly in your...

  10. Learn and apply fundamental machine learning concepts with the Crash Course, get real-world experience with the companion Kaggle competition, or visit Learn with Google AI to explore the full library of training resources.