Artificial Intelligence, Data Science, and Machine Learning all are very popular technologies in this technological world. All companies are leveraging these technologies and getting best out of it and Tensor Flow, Google's Machine Learning API, which are used to develop the Rank Brain algorithm for Google Search.
Tensor Flow is one of the most popular Machine Learning APIs, which allows you to automate several real-world tasks. For example, you can use it for image detection. That's the power of Machine Learning, which is now available to everyone because of Tensor Flow.
Best Courses For Tensor Flow and Machine Learning:
Without wasting any more time, following is the list of most popular courses to learn Tensor Flow and Machine Learning online. All these courses not only teach theoretical knowledge but also practical stuff which you need to gain some hands-on experience.
This is one of the most popular Tensor Flow course on Udemy with more than 28,268 students enrolled and thousands of 4.5 rating. It covers most of the things about Tensor Flow and you can take it even if you are new to Machine Learning. The first couple of chapters will explain Machine Learning and how Tensor Flow can solve real-world problems through its neural networks.
In this course, you will learn about how Neural Networks work and how you can use Tensor Flow for classification and regression tasks, e.g. image classification with Convolutional Neural Networks. You will also learn about how to build your own Neural Network from scratch using Python and perform time series analysis with Recurrent Neural Networks. Overall, it is a great course to learn the basics of Tensor Flow with Python.
This is another most popular course to learn Tensor Flow on Udemy. If you are a first-timer, this is probably the best course because it will generate your interest in the complex but exciting world of Data Science, Machine Learning, and Deep learning. The course starts with basics but runs really deep. It's great for Python developers as the course focuses on Tensor Flow with Python. It also teaches you NumPy, which is another popular Machine Learning API.
The best part of this course is that you will create your own Machine Learning algorithm after learning the basics of Tensor Flow and Machine Learning. It's business-focused, which means you will learn Machine Learning with real-world scenarios, e.g. how to use Machine Learning to optimize business performance, retain customers, improve conversions, etc., all by leveraging the real data acquired by real companies.
If you have a membership and are looking for a course to start learning Tensor Flow then ‚??Tensor Flow: Getting Started‚?? is a good place to start with. This course will teach you how to install and use Tensor Flow, a cutting-edge Machine Learning library from Google. You'll learn how you can use Tensor Flow to create a range of Machine Learning models from simple linear regression to complex deep neural networks.
This is the biggest benefit of membership i.e. you get access to a variety of courses by just paying a nominal monthly or annual fees. I joined Plural-sight to learn spring and Java courses but now I am also using other technical courses such as this one to learn Tensor Flow. If you don't have a Plural-sight membership, you can still access this course by signing up for a 10-day free trial.
This is a practical course that will show you what can be achieved using Tensor Flow, the Google's advanced Machine Learning library. It's great for beginners and programmers who are just starting with Data Science and Machine Learning.
In this course, you will not only learn Tensor Flow but also learn how to use that to make a Credit Card Fraud Detection model in Python. You will also make an app with Python that uses data to predict the Stock Market. I really like the project based courses because you learn more by building something that is meaningful and this course fits well on that criterion.
This is a really short course that will teach you neural networks and Tensor Flow in less than 3 hours. It's kind of a crash course on Tensor Flow and Neural networks. You will start from scratch by learning the basic syntax of Tensor Flow, Google's Machine Learning framework, and later build a neural network in Python code.
In this course, you will not only learn Tensor Flow but also learn how to use that to make a Credit Card Fraud Detection model in Python. You will also make an app with Python that uses data to predict the Stock Market.