One of my goals in 2018 is to explore Machine learning and Data Science and that’s why I am learning Python as well. You might have seen a couple of python posts like best courses to learn Python in this blog, which I have been using to learn Python this year.
Python has a lot of very useful and popular machine learning API e.g. TensorFlow, NumPy, Pandas, Sci-Kit etc but I am mostly focusing on TensorFlow at this moment because of obvious reasons, it’s supported by Google.
Anyway, in this article, I am going to share about some of the best online courses to learn TensorFlow and Machine learning for programmers.
Top 5 TensorFlow and Machine Learning Courses
Without wasting any more of your time, here is my list of some of the best courses to learn TensorFlow 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.
All these courses are also not very expensive, most of them you can get easily in under $10 on Udemy flash sale which happens every month. Once you complete a course you should be able to proceed further by yourself.
Complete Guide to TensorFlow for Deep Learning with Python
This is probably the most popular TensorFlow course on Udemy with more than 28,268 students enrolled and thousands of 4.5 rating. It covers most of the things about TensorFlow and you can take it even if you are new to machine learning.
The first couple of chapters will explain you about machine learning and how TensorFlow can solve real-world problems through its neural networks.
In this course, you will learn about how Neural Network works and how you can use TensorFlow for classification and Regression task 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, a great course to learn the basics of TensorFlow with Python.
Machine Learning with TensorFlow + Real-Life Business Case
This is another great course to learn TensorFlow on Udemy. If you are the 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 focus on TenosorFlow with Python. It also teaches you NumPy 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 TensorFlow 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.
TensorFlow: Getting Started
If you have a Pluarlsight membership and looking for a course to start learning TensorFlow then “TensorFlow: Getting Started” is a good place to start with.
This course will teach you how to install and use TensorFlow, a cutting-edge machine learning library from Google.
You’ll learn how you can use TensorFlow to create a range of machine learning models from simple linear regression to complex deep neural networks.
This is the biggest benefit of Pluarlsight membership i.e. you get access to a variety of courses by just paying a nominal monthly or annual fees.
I joined Pluarlsight to learn Spring and Java courses but now I am also using other technical courses e.g. this one to learn TensorFlow. If you don’t have a Pluralsight membership, you can still access this course by signing for a 10-day free trial.
Detect Fraud and Predict the Stock Market with TensorFlow
This is a practical course which will show you what can be achieved using TensorFlow, 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 TensorFlow but also learn how to use that to make a Cred Card Froud 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 which is meaningful and this course fits well on that criterion. If you also like project-based learning then this is the perfect TensorFlow course for you.
A beginners guide for building neural networks in TensorFlow
This is a really short course which will teach you neural networks and TensorFlow in less than 3 hours. It’s kind of crash course on TensorFlow and Neural networks.
You will start from scratch by learning the basic syntax of TensorFlow, Google’s machine learning framework and later build a neural network in Python code.
The best part of this course is that it also explains how you can train and test your neural network, the most interesting part of doing any Deep learning project.
That’s all about some of the best online courses to learn TensorFlow and machine learning using Python. TensorFlow is a very powerful machine learning API which has several real-world usages, for example, you can use it to detect images like you can take pictures of number plates and then guess the number and find car owner details from the registration database. Speed cameras in the highway can have this program installed to detect and send notice to speeding car owners before they reach home. Btw, If you need more general courses you can also check out my earlier post about deep learning courses.
Other useful Programming and Software Development resources
5 Free Spring Framework Courses for Java Developers
Top 5 Courses to learn Web Development in 2018
5 Courses to Learn Big Data and Apache Spark
Best Apache Kafka Courses – 2018
5 Courses to Learn React Native in 2018
Thanks for reading this article. If you like these TensorFlow and machine learning courses then please share with your friends and colleagues. If you have any questions or feedback then please drop a note.