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Python: An absolute beginner's guide to deep learning

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Teaching yourself deep learning is a long and arduous process. You need a strong background inÂ linear algebra and calculus, good Python programming skills, and a solid grasp of data science, machine learning, and data engineering. Even then, it can take more than a year of study and practice before you reach the point where you can start applyingÂ deep learningÂ to real-world problems and possibly land a job as a deep learning engineer.
Knowing where to start, however, can help a lot in softening the learning curve. If I had to learn deep learning with Python all over again, I would start withÂ ....

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What is semi-supervised machine learning?

Machine learning has proven to be very efficient at classifying images and other unstructured data, a task that is very difficult to handle with classic rule-based software. But before machine learning models can perform classification tasks, they need to be trained on a lot of annotated examples. Data annotation is a slow and manual process that […]
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