NubeEra

Analytics

Fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning.
Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems.
Build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.
Fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning.
Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems.

2–4 hours per week, for 5 weeks

AI is the simulation of human intelligence processes by machines AI can meaningfully improve people's lives which the most important impact will come when everyone can access it. Learn more about it.
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2–4 hours per week, for 5 weeks

Data Science combines the scientific system, calculation and statistics, specialized programming, advanced analytics, AI, and indeed liar to uncover and explain the business perceptivity buried in data. Learn more about it.
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2–4 hours per week, for 5 weeks

Machine learning is a branch of Artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Learn more about it.
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2–4 hours per week, for 5 weeks

: A neural network may be a series of algorithms that endeavors to acknowledge underlying relationships during a set of knowledge through a process that mimics the way the human brain operates. Learn more about it.
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2–4 hours per week, for 5 weeks

Natural language processing strives to create machines that understand and answer text or voice data—and respond with text or speech of their own—in much an equivalent way humans do. Learn more about it.
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2–4 hours per week, for 5 weeks

Involves transforming human language into a machine-readable format. With the help of natural language understanding (NLU) and machine learning, computers can automatically analyze data in seconds. Learn more about it
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2–4 hours per week, for 5 weeks

: The R programing language is an open source scripting language for predictive analytics and data visualization. Learn more about it.
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2–4 hours per week, for 5 weeks

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development. Learn more about it.
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