By SuperDataScience | in Online Courses
Interested in the field of Machine Learning? Then this course is for you! It was designed by two professional Data Scientists who will share their knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way. They will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
119,297 positive ratings from 653,721 students enrolled
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By SuperDataScience | in Online Courses
Artificial intelligence is growing exponentially. There is no doubt about that. But the further AI advances, the more complex the problems it needs to solve become. The only way to solve such complex problems is with Deep Learning — which is why it's at the heart of Artificial Intelligence. This course will help understand the broad and complex concept of Deep Learning in a robust, organized structure. You will be working on real-world data sets to help you be confident in all the techniques on an instinctual level.
30,368 positive ratings from 267,692 students enrolled
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By SuperDataScience | in Online Courses
There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different. In every new tutorial, it builds on what you have already learned and helps you move one extra step forward. After every video, you learn a new valuable concept that you can apply right away. This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises. In summary, this course has been designed for all skill levels, so you can feel comfortable jumping in even if you have no programming or statistical background!
15,307 positive ratings from 111,676 students enrolled
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By SuperDataScience | in Online Courses
TensorFlow 2.0 has just been released, introducing many features that simplify the development model and maintenance processes. From an educational point of view, it enhances the user's understanding by greatly simplifying complex concepts. From an industry point of view, models are much easier to understand, maintain, and develop. This course is structured so that all topics are covered: from neural network modeling and training to production. You'll start with the basics of TensorFlow 2.0 before moving on to its applications.
185 positive ratings from 1,579 students enrolled
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