It is said that Artificial Intelligence is the new electricity, while data is its fuel. Nowadays, more and more processes can be performed without any human interaction whatsoever. We can find millions of data sets, that contain billions of records, without wasting time or effort for it. Now is the right moment for machine learning, for developing applications and systems that can operate by themselves.
Algorithms are created by the machine, by smart computers that use existing data to create models that 30 years ago we wouldn’t have even conceived or considered. Machine learning means Artificial Intelligence at its best, algorithms that are self created by other algorithms.
We are talking not only about the powerful evolution of gaming, but about GPUs that are able to expand the capabilities of numerical computations in parallel, making them available for individual scientists. The availability of data is now the main driving force.
Watch the webinar and find out more about Tensorflow from Google and PyTorch from Facebook, one that is mainly centered on quick development life cycles and deployment and the other more refined in terms of scientifically soundness. See for yourself how they both work and "feel" in the same problem contexts and join us in using practical examples, models and different approaches. practical examples, models and approaches.
If you want to learn more about Machine Learning, register now for one of our courses:
📅 Data Science in Python Fundamentals >> Register for this course
📅 Machine Learning in TensorFlow/Keras Fundamentals >> Register for this course
📅 Natural Language Processing using Deep Learning >> Register for this course
📅 Recommender Systems >> Register for this course
📅 Reinforcement Learning >> Register for this course
📅 Solving Machine Learning Problems in TensorFlow/Keras >> Register for this course
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