Introduction to Tensor Flow Machine Learning | Free Course | Alison

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Introduction to Tensor Flow Machine Learning

Learn about the fundamentals of machine learning and the concept of TensorFlow in this free online course.

Data Science
Free Course
This free online course on the Tensor Flow machine learning will introduce you to a brief history of TensorFlow. You will also be introduced to machine learning concepts and the mathematical foundation of deep learning. This course will be useful for Artificial Intelligence professionals who are focused on data processing and machine learning model building. By the end of this course, you will become familiar with machine learning concepts.
  • Duration

    4-5 Hours
  • Certification

  • Mobile Friendly

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This free online course the introduction toTensor Flow machine learning will begin by introducing you to the overview of TensorFlow and the concepts of machine learning. This course outlines the definition, brief history and gradual development of Tensorflow. You will also learn about the importance of Tensorflow, the contribution of TensorFlow to machine learning and the various methods of building a machine learning model.

This course explains in detail the basics of machine learning and machine learning concepts using neural network playground as a visualization tool. You will also learn about machine learning from a programming perspective and some important terminologies of machine learning. You will learn about the techniques for data normalization and the details of the machine learning process, including data pre-processing and model building. You will also learn about linear and logistic regression.

This course then analyzes the variations of gradient descent which are being employed in practical machine learning training. You will also learn about some of the nuances of gradient descent. This course explains the techniques surrounding model evaluation which include the basics of model evaluation and diagnosing problems with models. You will learn about the basic concepts, functions and attributes of tensors. You will also learn about matrix, the mathematical foundations of deep learning.

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Learning Outcomes

Upon successful completion of this course, you will be able to:

  • Discuss the concept of Tensorflow
  • Discuss the history and development of Tensorflow
  • Explain the purpose and importance of Tensorflow
  • Distinguish between machine learning and traditional programming 
  • Discuss the achievements of deep learning
  • Explain linear and logical regression
  • Discuss the basic concept of tensors


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