Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 4.09 GB | Duration: 10h 53m
What you’ll learn
Machine Learning
Neural Networks
Artificial Intelligence
Requirements
No experience necessary
Description
AI is omnipresent in our modern world. It is in your phone, in your laptop, in your car, in your fridge, and other devices you would not dare to think of. After thousands of years of evolution, humanity has managed to create machines that can conduct specific intelligent tasks when trained properly. How? Through a process called machine learning or deep learning, by mimicking the behavior of biological neurons through electronics and computer science. Even more, than it is our present, it is our future, the key to unlocking exponential technological development and leading our societies through wonderful advancements.
Machine Learning is the most evolving branch of Artificial Intelligence. Through this course, you will get a basic understanding of Machine Learning and Neural Networks.
Is this course for me?
By taking this course, you will gain the tools you need to continue improving yourself in the field of app development. You will be able to apply what you learned to further experience in making your own apps able to perform more.
No experience necessary. Even if you’ve never coded before, you can take this course. One of the best features is that you can watch the tutorials at any speed you want. This means you can speed up or slow down the video if you want to!
Who this course is for:
Anyone interested in Machine Learning.
Students who have at least high school knowledge in math and who want to start learning Machine Learning.
Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
Developers transferring from other languages
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