Discover how to become a machine learning engineer in this hands-on introduction to machine learning, using Python programming.
This course is made available through the eLearnAfrica and FutureLearn partnership.
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This self-paced course offers you the chance to explore the key skills needed to become a machine learning engineer, in turn developing your understanding of how deep learning works.
Machine learning is the process through which artificial intelligence systems use data to become more efficient and effective. No human input is required, beyond the data science skills needed to build machine learning models and set parameters for refinement.
The data science insights generated through machine learning are detailed and immediate. The process allows you to build sophisticated and efficient systems, with a huge range of applications. Everything from Netflix recommendations to self-driving cars to medical diagnostic technologies are built around machine learning algorithms.
Unsurprisingly, it is a valuable market: an estimated $7.3 billion in 2020. This is set to rise to $30.6 billion by 2024.
In this introduction to machine learning, you’ll develop the data science skills to build machine learning models using Microsoft Cognitive Services on the Azure cloud platform, and Python programming.
You’ll learn the first steps of how to become a machine learning engineer. You’ll cover practical machine learning skills, with hands-on learning using Python in Microsoft Cognitive Services.
With these artificial intelligence skills, you’ll be able to build your own machine learning models, forming the basis of deep learning models, as you develop further data science skills in following courses.
This machine learning and artificial intelligence course is designed for those who would like to learn more about deep learning. Basic knowledge of python programming would be advantageous, as would solid maths and computer science skills.
Certificate cost may vary. You will be redirected to the host page for cost and payment options.
This university is part of the partnership between eLearnAfrica and FutureLearn.
This institution is available on eLearnAfrica through partnership with FutureLearn.
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Effective Date: September 22, 2016