A Coursera specialization taught by Laurence Moroney that teaches practical machine learning with TensorFlow, covering model building, data loading and preprocessing, computer vision, natural language processing, and time series.

Commenters recommend it as an easier, more practical follow-on to Andrew Ng's courses, and suggest it for beginners who want hands-on TensorFlow work.

On Reddit (3)

1. Recommendsrtayekr/learnmachinelearning2020in “is it worth taking Andrew Ng's Introduction to machine learning in 2020?”▲ 1

   any of his courses are worth taking. this specialization is good: https://www.coursera.org/specializations/deep-learning. this specialization is easier and more practical: https://www.coursera.org/professional-certificates/tensorflow-in-practice.

2. Recommendsspoobydoor/MachineLearning2020in “[D] How do you use ML as a hobbyist?”▲ 2

   I recommend the 'TensorFlow in Practice' course on Coursera. It's also recommended by the TensorFlow team themselves. Best to have *some* Python familiarity before starting, especially with loading and parsing various file types, but that's also something you can figure out on the fly so dont be…

3. Recommendsrtayekr/learnmachinelearning2020in “How Do I Start With ML?”▲ 2

   i have completed a few dozen coursera courses on ml and data science. yes, ng's courses are very good. the newer ones a bit better than the older ones. also if you are a beginner, this series https://www.coursera.org/specializations/tensorflow-in-practice and some others with Laurence Moroney will…

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