Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
DurationMachine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability.
In this instructor-led, live training, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model. By the end of this training, participants will be able to:
Understand the fundamental concepts of deep learning.
Learn the applications and uses of deep learning in telecom.
Use Python, Keras, and TensorFlow to create deep learning models for telecom.
Build their own deep learning customer churn prediction model using Python.
NobleProg is an international training and consultancy group, delivering high quality courses to every sector, covering: Cyber Security, Artificial Intelligence, IT, Management, Applied Statistics. Over the last 17 years, we have trained more than 50,000 people from over 6000 companies and organisations.
Our courses include classroom (both public and closed) and instructor-led online giving you choice and flexibility to suit your time, budget and level of expertise.
We practice what we preach – we use a great deal of the technologies and methods that we teach, and continuously upgrade and improve our courses, keeping up to date with all the latest developments. Our trainers are hand picked and have been through rigorous checks and interviews, and all courses are evaluated by delegates ensuring continuous feedback and improvement.
With advances in machine learning and deep learning algorithms, artificial intelligence has grown exponentially. AI is a driving force behind technologies such as computer vision, autonomous vehicles, drones, robotics and more.
Artificial Intelligence is the current, future discipline fostering the next generation of Computer Science, Networking, Cloud and High Performance Computing environments.
This course tracks along the Python vertical and integrates a range of topics at the nexus of computer science, data science, and artificial intelligence, with a focus on natural language processing.
This introductory course aims at comprehensive but accessible coverage of artificial intelligence concepts and technology by using an application-driven organization that covers the technology in several application areas followed by mathematical skills and programming tools when needed.
This course covers foundational AI topics and concepts and provides an understanding of essential AI techniques, the basics of neural networks, and fundamental neural network architectural layers.
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