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Diploma in Practical Machine Learning with Tensor Flow

Online
10-15 hours
Free

Course Content

Learn about the fundamentals of machine learning and the application of TensorFlow in this free online course. This free online course on practical machine learning and TensorFlow will be particularly useful for technology companies, computer engineers. It will also be useful for Artificial Intelligence professionals who deal with data processing, as well as machine learning model building. By the end of this course, you will become more familiar with the concepts of TensorFlow, machine learning models and neural networks.

Course Details

CollegeAlison
Course ID201571
Course TypeOnline Learning
Course QualificationCPD Diploma
Course Duration10-15 hours
Course FeeFree
Entry RequirementsLike all courses on the Alison Free Learning platform this is a free, CPD-accredited course. A Graduate can choose to buy a certificate or diploma upon successful completion of a course, but this is not required or necessary.

At Alison we believe that free education, more than anything, has the power to break through boundaries and transform lives.

Alison is the world’s largest free online empowerment platform for education and skills training, offering over 5000 CPD accredited courses and a range of impactful career development tools. It is a for-profit social enterprise dedicated to making it possible for anyone, to study anything, anywhere, at any time, for free online, at any subject level. Through our mission, we are a catalyst for positive social change, creating opportunity, prosperity, and equality for everyone.
Career PathWhat You Will Learn In This Free Course
• Discuss the history and development of Tensorflow
• Distinguish between machine learning and traditional programming
• Explain the importance of a neural network playground
• Analyze the mathematical foundations of deep learning
• Explain the process of using TensorFlow API to build a deep learning model for regression problems
• Discuss image classification and visualization
• Explain the methods of improving model accuracy
Course Code2231

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