This is my review of the Mathematics for Machine Learning Review from Imperial College. It’s available on Coursera. Here’s the link: https://www.coursera.org/specializations/mathematics-machine-learning 2 Data Science Learning Platforms I would recommend 1. Data Quest – https://bit.ly/3yClqbZ (my favourite) 3 365 Data Science – https://bit.ly/3hbUHdd I created 2 Python Courses, which you might like. 1. Exploratory Data Analysis with Python and Pandas – https://bit.ly/2QXMpxJ 2. Complete Python Programmer Bootcamp – http://bit.ly/2OwUA09 (These contain affiliate links, which means I receive a percentage of any sales made. There is no additional cost for anybody clicking on them) https://www.instagram.com/gilesmcmullen/ https://twitter.com/GilesMcMullen 👌 SUBSCRIBE to ME!👌 https://www.youtube.com/channel/UC68KSmHePPePCjW4v57VPQg?sub_confirmation=1

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Online Lecture Series, Techfest, IIT Bombay is back with another highly inspiring leader, Andrew Ng! When it comes to rising fields like machine learning, artificial intelligence and computer vision, Andrew Yan-Tak Ng is one of the names you hear first. Being the co-founder of Coursera and deeplearning.ai, he has taught millions of eager learners worldwide through his online courses. He is also the mastermind behind Google Brain, a deep learning research team at Google which combines open-ended machine learning research with information systems and large-scale computing resources. Professor of Computer Science and Electrical Engineering at Stanford University, he has undertaken several research projects related to data mining and machine learning. His work has earned him several awards and he has gifted the world of technology with hundreds of his published papers. Watch Prof. Andrew Ng talk about his life journey and experience, the future of AI and it’s impact on the society! . This is a recorded lecture being streamed live . . . Give us a like on Facebook – https://www.facebook.com/iitbombaytechfest/ Subscribe to our channel – https://www.youtube.com/channel/UCech6f3osmQ_s54OsIZQDgA Follow us on Twitter : https://twitter.com/Techfest_IITB Follow us on Instagram: https://www.instagram.com/techfest_iitbombay/?hl=en

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take. In this course, you will learn: – The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science – What AI realistically can–and cannot–do – How to spot opportunities to apply AI to problems in your own organization – What it feels like to build machine learning and data science projects – How to work with an AI team and build an AI strategy in your company – How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI. Like, Subscribe & share Support our Channel Tuitions Tonight

What is the best platform to learn skills? Is it udemy, is it coursera or is it skillshare? In this video I talk about the best mooc platforms that you can use to learn skills. The most important thing to understand here is that, there is no one platform that you can use to learn everything. So, if you want to learn web dev, app dev, intro to coding, social media marketing, digital marketing, go with udemy. If you wanna learn machine learning, deep learning, finance, or soft skills like negotiating with people, you can go with coursera. And if you want to learn some creative skills like photography, drawing, illustration, graphic design, go with skillshare. udemy: https://www.udemy.com/ coursera: https://www.coursera.org/ skillshare: https://www.skillshare.com/ The startup I’m working for: codedamn: https://codedamn.com/ Let me know which platform do you enjoy using to learn skills down below! If you want to learn how to get online courses for free or at discounted prices, check out these videos: How To Get Paid Coursera Course Certificates For FREE in 2020?!🔥 | Step by Step | Complete Guide!: https://youtu.be/LywLyuO6OPY 70 FREE Courses By Harvard University🔥🔥 | How To Enroll | Available For Limited Time!: https://youtu.be/Wbq7qEaTvVE Google is Offering 134 FREE Courses!🔥 | How to Sign Up | Google Digital Garage Explained: https://youtu.be/NVP2r5PIwBE 🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟 Hey!! I am Ishan Sharma, Second year Student at 📍 BITS Pilani, Goa 🏫 pursuing Electrical Engineering 🔌. I enjoy reading books [More]

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take. In this course, you will learn: – The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science – What AI realistically can–and cannot–do – How to spot opportunities to apply AI to problems in your own organization – What it feels like to build machine learning and data science projects – How to work with an AI team and build an AI strategy in your company – How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI. #Part2 #AIforEveryone #AIbyAndrewNg Like, Subscribe & share Support our Channel Tuitions Tonight