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Claim your Discount!This is to verify that Soroush Bijani has completed the course Diploma in Practical Machine Learning with Tensor Flow on Alison.
Alison ID: 37914278
Course Completed: Diploma in Practical Machine Learning with Tensor Flow
Date of Completion: 17th December 2025
Email: [email protected]
Total Study Time: 30h 10m
Alison courses requires at least
80% to pass the final assessment
CPD approved learning hours
completed through this course
Learn about the fundamentals of machine learning and the application of TensorFlow in this free online course.
This free online course in practical machine learning with TensorFlow will begin by introducing you to the concept of machine learning and the overview of TensorFlow. You will learn about the steps in the machine learning process, logistic regression and the loss unction in machine learning. You will also be introduced to gradient descent, gradient descent variations, machine learning visualization as well as confusion matrix.
The course then introduces the concept of tensors and their relevance. You will learn about the mathematical fundamentals of deep learning. You will also learn how to build data pipelines for TensorFlow as well as text processing with TensorFlow. Next, you will be introduced to machine learning models, text classification, overfitting, underfitting, regression and the architecture of neural network model.
The course then explains the meaning of convolution neural network and transfer learning. You will also learn about the pooling, and image classification and visualization. This course explains in great detail estimator API, boosted trees as well as word embeddings and its application. This course also explains the customization of TensorFlow, writing a custom layer as well as Tensorflow distributed training. This course has not been updated with the use of Generative AI models, like ChatGPT.
