This is a very interesting specialization that will help learners understand what Machine Learning is with Google Cloud. The specialization contains courses that will help you frame a business use case as a Machine Learning problem. You will get a chance to gain a broad perspective of Machine Learning wherever it can be used. Similarly, the courses in this specialization will help you recognize biases that Machine Learning can amplify. The skills that you will develop from this course are relevant to TensorFlow, Machine Learning, Feature Engineering, Cloud Computing, Application Programming Interfaces (API), inclusive ML, Python Programming, and more. Therefore this and much more can be learned from the courses available in this specialization.
In this course, you will first learn what machine learning is. Then you will understand the kinds of problems it can solve. After that, the instructor will discuss the five phases of converting a candidate use case that can be driven by machine learning.
This course starts fro, a history of machine learning. Then the instructor will talk about why neural networks in today’s world perform so well in a variety of data science problems. Similarly, you will also learn to set up a supervised learning problem and then find a suitable solution through gradient descent.
In the third course, the focus will be on using the flexibility and ease of use of TensorFlow 2.x. Along with that, you will also learn to use Keras for building, training, and deploying machine learning models. The instructor will make you learn the TensorFlow 2.x API hierarchy and the main components of TensorFlow through different hands-on exercises. Interested in TensorFlow? Check out our range of free courses designed to help you become a certified developer.
Are you interested in finding out how to improve the accuracy of all your Machine Learning models? In this course, you will learn to find which data columns can make the most useful features. The instructor will discuss both good and bad features and then how you can transform them for optimal use in your models.
This final course is delivered in the form of 6 modules that covers the essential skills of ML intuition. With that, you will also understand the skills of good judgment and experimentation to tune and optimize ML models.
In this course, we are going to take a look at the feedback which users have given about this specialization or the courses in it.
So these were the details and reviews about the courses available in this Machine Learning with TensorFlow on Google Cloud Platform Specialization. Now all you have to do is read the description and reviews of all five courses available in this specialization and then decide whether you need to enroll in the whole specialization or one or two courses and never stop learning.
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