what is andrew ng's machine learning course

by Danyka Schinner 9 min read

The Machine Learning Specialization is a foundational online program taught by Andrew Ng, an AI pioneer who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.

Full Answer

Is Andrew Ng’s machine learning course on Coursera credible?

This course which you mentioned is named: Machine Learning and is offered by the instructor Andrew Ng. Now he is the founder of the platform Deep Learning. AI and co-founder of the organization Coursera. So there is no doubting his credibility. Machine Learning which is a very relevant concept today is present all around us.

Does Stanford University offer Andrew Ng's Machine Learning Course?

Stanford University offers Andrew NG's Machine Learning course, but is it worthy enough? Let us know if it is or it is not! The machine learning course at Coursera by Andrew NG has the option of enrolling for free. You can enrol anyt So many institutions provide machine learning courses.

Is Andrew Ng’s courses still the best course online?

Andrew Ng’s Courses is one of the top-rated machine learning and data science courses online. It has been rated 4.9 out of 5 via 1,61,096 reviews and pursued by 4.2M students. Even after the 8 years of its publication, the courses are still doing an Unbelievable business. But that does not mean it's the still best course.

What are the best machine learning courses on Coursera?

Stanford’s Machine Learningcourse taught by Andrew Ng was released in 2011. 8 years after publication, Andrew Ng’s course is still ranked as one of the top machine learning courses. This has become a staple course of Courseraand, to be honest, in machine learning.

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Is Andrew Ng's machine learning course free?

If you want to take Andrew Ng's Machine Learning course, you can audit the complete course for free as many times as you want.

What is the best course for machine learning?

Best 7 Machine Learning Courses in 2022:Machine Learning — Coursera.Deep Learning Specialization — Coursera.Machine Learning Crash Course — Google AI.Machine Learning with Python — Coursera.Advanced Machine Learning Specialization — Coursera*Machine Learning — EdX.Introduction to Machine Learning for Coders — Fast.ai.

Is Stanford machine learning Coursera good?

It's no doubt that the Machine Learning certification offered by Stanford University via Coursera is a massive success. This is undoubtedly in-part thanks to the excellent ability of the course's creator Andrew Ng to simplify some of the more complex aspects of ML into intuitive and easy-to-learn concepts.

Is machine learning course by Stanford University free?

Stanford University to Offer Free Online Course in Machine Learning.

Can I learn machine learning in one month?

1 Answer. NO! you cannot learn Machine learning in one month and even if you did cover the topic, then also it wouldn't be fruitful to you as you might not have grasped the subject's depth and because of lack of practice, you will not be technically strong.

Does machine learning require coding?

Yes, if you're looking to pursue a career in artificial intelligence and machine learning, a little coding is necessary.

Does Coursera certificate have value?

Do Coursera Certificates Have Value? Unlike many online learning platforms that offer courses, Coursera can actually help you with your career. This is because Coursera offers certificates and degrees that actually have value.

Is Coursera machine learning course difficult?

The programming assignments This is tough. Especially if you are not familiar with programming. But even if you have no experience with any programming language, this course provides a soft introduction to it and allows to apply basic principles for powerful results.

Which is best course in Coursera?

These are the most popular courses among Coursera learners worldwide between January 1 and November 30, 2021.Machine Learning. ... The Science of Well-Being. ... Foundations: Data, Data, Everywhere. ... First Step Korean. ... English for Career Development. ... Learning How to Learn: Powerful mental tools to help you master tough subjects.More items...

Is machine learning hard?

Difficult algorithms: Machine learning algorithms can be difficult to understand, especially for beginners. Each algorithm has different components that you need to learn before you can apply them.

Is machine learning a good career?

Yes, machine learning is a good career path. According to a 2019 report by Indeed, Machine Learning Engineer is the top job in terms of salary, growth of postings, and general demand.

What is the difference between AI and machine learning?

An “intelligent” computer uses AI to think like a human and perform tasks on its own. Machine learning is how a computer system develops its intelligence. One way to train a computer to mimic human reasoning is to use a neural network, which is a series of algorithms that are modeled after the human brain.

Is Andrew Ng’s Machine Learning Course Still Relevant?

With machine learning evolving as quickly as it is and taking over every sector of our lives, the concern that it is not relevant is a valid one. However, that concern can be laid to rest. The way that Andrew Ng structured his course is for the long haul. He did not involve any outside libraries so that as they changed the course would not be affected. He focuses on the theory and concepts of machine learning and not on the coding basics.

What are MOOCs?

Massively Offered Online Courses, or MOOCs for short, are a great way to get a self-taught education on a budget. These types of courses have been around since 2008 when the first-course “Connectivism and Connective Knowledge/2008” was released. This was created by Stephen Downes and George Siemens who were professors at the University of Manitoba located in Canada.

What is the Time Commitment?

You can expect to invest between 5–7 hours per week to complete the course. Even though it is an 11-week course you can finish it sooner than that. I started the course on September 16, 2019, and finished November 11, 2019; Just shy of 2 months. The first 2 and last 2 weeks are pretty easy and can be bundled up together.

What are the Prerequisites?

Having exposure to linear algebra and calculus will be beneficia l. Andrew Ng goes in-depth into the math about machine learning. Here is a list to help you brush up on the math:

How Much Does it Cost?

In the free version, you will have access to some of the material, but not to graded assignments. However, for $80 you will access to the entire course, including the graded assignments, and will receive a digital certificate to show off. There is an option to place the cert on your LinkedIn page if you want or a link to share it with whomever.

What Can I Do After This Course?

Continue your education into machine learning. Jump onto Kaggle and play around with the Titanic dataset and its classification problem. Once you have a grasp on that, jump into other datasets and show off your newly developed skills. Soon, you’ll be able to learn about deep learning and take his deeplearning.ai course.

What happens if you cheat on Coursera?

However, due to its popularity, some repositories contain the answers to quizzes and completed coding assignments. If you are caught cheating, your Coursera account will be deactivated and certificates voided.

What is a professional certificate on Coursera?

Whether you’re looking to start a new career or change your current one, Professional Certificates on Coursera help you become job ready. Learn at your own pace from top companies and universities, apply your new skills to hands-on projects that showcase your expertise to potential employers, and earn a career credential to kickstart your new career.

Does Mastertrack count towards degree?

With MasterTrack® Certificates, portions of Master’s programs have been split into online modules, so you can earn a high quality university-issued career credential at a breakthrough price in a flexible, interactive format. Benefit from a deeply engaging learning experience with real-world projects and live, expert instruction. If you are accepted to the full Master's program, your MasterTrack coursework counts towards your degree.

How long is the AI and ML certification course?

For domain elective training, I suggest you enrol for Advanced AI and ML Certification by Learnbay, collaborating with IBM. It’s a 9-month course at 79,000 INR fees.

How does machine learning help us?

Machine learning has given us self-driving cars, effective speech recognition, and a better understanding of the human genome in the last decade.

What is machine learning?

Machine learning is an essential part of Data Science and Artificial Intelligence. So other than this course provided by Coursera, there are few good platforms that offer training in Data Science and Artificial Intelligence. Edureka, Simplilearn, Intellipaat, Learnbay are few among them.

Why is machine learning important?

Machine Learning is required for tasks that are excessively mind boggling for people to code directly. A few tasks are intricate to the point that it is illogical, if certainly feasible, for people to turn out to be the entirety of the subtleties and code for them expressly.

How many steps do you need to take after Andrew Ng?

You need to take two immediate steps after the completion of Andrew Ng’s course.

Where is Learnbay institute?

Learnbay institute in Bangalore (Recommended) is a place where you can find everything that a newcomer is needed. They provide online training mode sessions that is very interactive with the trainers you can ask anything and at any time.

Is data collection mechanism unique to every domain?

Data collection mechanism is unique to every domain- A telecom domain ML expert will work quite differently from the healthcare domain ML expert. Hence, you need to be aware of the domain-specific data handling as well as cleaning strategies.

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