Andrew Ng’s DeepLearning.AI recently introduced a new course, “Mathematics for Machine Learning and Data Science Specialization”. The course is set to help boost your tech career in artificial intelligence. Beginner as well as high-level proficiency in mathematics is important for AI so, in that sense, becoming a pro in machine learning algorithms and data science techniques can only empower you.
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Data science pioneer Andrew Ng took to Twitter to share more details.
What to expect from the course?
- A deep and thorough knowledge of the principles behind ML algorithms and how to modify them for unique implementation.
- Land your ideal job by acing machine learning interview questions by developing skills from this course.
- Statistical methods to maximise the value of your data analysis.
This course is developed in collaboration with AI scientist and well-known YouTuber Luis Serrano, who is also the author of ‘Grokking Machine Learning’. With their easy tutorials and practical exercises, you can master mathematical ideas as they directly apply to your machine learning and data science learnings.
Why is this course important?
Mathematics is the backbone of artificial intelligence. The three main branches of mathematics that constitute a thriving career in AI are linear algebra, calculus, and probability. The concepts behind thinking machines and the possibility of emulating human behaviour are done with the help of mathematical principles. Mathematics and artificial intelligence are two branches of the same tree.
At Global AI Summit 2022, Riyadh, British technologist and businessman Conrad Wolfram told AIM that he calls for “computational thinking”, which is a mixture of computational literacy skills, coding, and the art of writing down abstractions. He further added that mathematics is getting as close to the edge of education as you may expect in its current state as a mainstream subject.
Click here to join the waitlist here and avail the course.
The post Andrew Ng Launches New Mathematics Course for AI, ML & Data Science Specialisation appeared first on Analytics India Magazine.
