Essential Math Competencies in Machine Learning | Eduonix
Автор: Eduonix Learning Solutions
Загружено: 2017-12-19
Просмотров: 4418
Описание:
Welcome back, we hope you’re enjoying this new series of Machine Learning. In the last chapter we discussed the two terms ‘Machine Learning’ and ‘Artificial Intelligence’ and how they differ from each other. In this chapter we will learn Essential Math Competencies to ML and AI. We will discuss the various terms like Multivariate calculus, probability theory, gradient descent, etc. So let's get started!
You will find the previous parts here:
Part 1: https://goo.gl/v6P7Bn
Part 2: https://goo.gl/1pZg31
Part 3: https://goo.gl/KhNDtP
Also, you can get instant access to this entire course on our website: https://goo.gl/mYGrhw
Kickstarter Campaign on AI and ML E-Degree is Launched. Back this Campaign and Explore all the Courses with over 58 Hours of Learning.
Link- http://bit.ly/aimledegree
Thank you for watching! We’d love to know your thoughts in the comments section below. Also, don’t forget to hit the ‘like’ button and ‘subscribe’ to ‘Eduonix Learning Solutions’ for regular updates. https://goo.gl/BCmVLG
Follow Eduonix on other social networks:
■ Facebook: http://bit.ly/2nL2p59
■ Linkedin: http://bit.ly/2nKWhKa
■ Instagram: http://bit.ly/2nL8TRu | @eduonix
■ Twitter: http://bit.ly/2eKnxq8
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: