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10 of the Best Tensorflow Courses to Learn Machine Learning from Coursera and Udemy

If you are curious about Artificial Intelligence, Data Science, and Machine Learning, then I am sure you have heard about TensorFlow, Google's Machine Learning API, which they have used to develop the RankBrain algorithm for Google Search.

In fact, a Japanese farmer turned programmer used it to detect the best quality cucumber, which only his father and mother can do even with their years of experience.

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.

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.

how to use Machine Learning to optimize business performance, retain customers, improve conversions, etc, all by leveraging the real data acquired by real companies.

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.

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.

In this four-course Specialization, you'll not only explore exciting opportunities for AI applications but also learn how to build and train neural networks.

You will also learn about how to improve a network's performance using convolutions as you train it to identify real-world images.

You'll teach machines to understand, analyze, and respond to human speech with natural language processing systems, process text, represent sentences as vectors, and input data to a neural network.

The courses are free-to-audit but if you need certification you need to pay some money but if you complete the specialization in 7 days, you can still cancel and get a certificate for free, but if you like this specialization and appreciate Coursera, by all means, you should buy it.

Machine Learning with TensorFlow on Google Cloud Platform Specialization This is another awesome resource to learn TensorFlow and Machine learning but on Google Cloud, which provides powerful TensorFlow infrastructure for advanced deep learning model training.

5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs.

This specialization picks up where 'Machine Learning on GCP' left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text.

Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.

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 notifications to speeding car owners before they reach home.

- If you need some free courses to kick-start your Machine learning and Deep learnign journey, then you can also take a look at this 5 FREE Machine Learning Courses from Udemy, Coursera, Pluralsight etc to startwith.

Learn Machine Learning Using These Online Courses

If you’re considering a career in artificial intelligence, you’re on track for an exciting future!

The machine learning market is expected to grow at a compound annual growth rate of 44.1%, from $1.41 billion in 2017 to $8.81 billion in 2022.

According to AI Index, a project by Stanford University, the number of active AI startups increased by 113% from January 2015 to January 2018, and venture capital funding for U.S. AI startups grew by 350% from 2013 to 2017.

We put together this list of the best machine learning online courses for you to check out, whether you’re an experienced computer scientist or a beginner. 

You’ll also explore algorithms like classification, regression, clustering, and dimensional reduction, along with popular models such as train/test split, root mean squared error, and random forests.

Best suited for: students with knowledge of data science fundamentals Machine Learning in Python (Springboard): This free, well-structured, 12-hour learning path offers students an introduction to Python in a flexible way that is full of concise yet rigorous hands-on tutorials.

Best suited for: tech professional curious about how ML can change the way they work Data Science: Machine Learning (Harvard): This course from Harvard University will teach you how to build a movie recommendation system while learning the fundamentals of machine learning that power it.

Fast.ai aims to make deep learning easier to use and to get more people from all backgrounds involved in the field through its free courses for coders, software libraries, cutting-edge research, and vibrant community.

Best suited for: engineers wanting to get better at reinforcement learning Reinforcement Learning (Georgia Tech): Taught by two experts in the reinforcement learning field of research at Georgia Tech, this course will help you participate more deeply in the field’s research.

Best suited for: engineers who want to participate in the field of reinforcement learning research Deep Learning Specialization (Deeplearning.ai): This course is for you if you want to take a serious dive into the world of convolutional networks and work on case studies ranging from healthcare and natural language processing to autonomous driving and music generation.

Best suited for: engineers wanting to specialize in deep learning techniques Bioinformatics Specialization (UC San Diego): Are you ready to apply your machine learning and deep learning knowledge to genome sequencing and molecular evolution?

Best suited for: engineers wanting to specialize in natural language processing Machine Learning Engineering Career Track (Springboard): While most graduate programs and other machine learning online courses focus on AI/ML concepts, Springboard’s bootcamp wants students to apply what they’re learning.

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