completed andrew ng's course, now what

Is Andrew Ng’s ml course on Coursera good?

Mar 04, 2019 · 1. I completed Andrew Ng's Machine learning course on Coursera. It was maths heavy (with cost functions etc) and I am not sure if I remember all the equations though, is it necessary to memorize all those?2. I have also completed ISLR. I am in a non-...

What is Andrew Ng’s deep learning course?

Answer (1 of 59): Hi, You need to take two immediate steps after the completion of Andrew Ng’s course. Completing Andrew Ng's Machine Learning courses means you own a relatively stronger theoretical base of ML algorithms. But it's quite known …

Is Andrew Ng's Machine Learning Course worth it?

Noob here. (Please excuse my bad english, I'm not a native English speaker) I have recently completed Prof. Andrew Ng's coursera course. Since then i have read so many posts and asked so many people what to do next. But Everyone has a different answer, which makes it real hard for me to choose one since I'm just starting in this field.

Who is Andrew Ng and what is he known for?

Bio. Andrew Ng is Founder of DeepLearning.AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine ...

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What course should I do after Andrew Ng machine learning?

If I were to have my time again, I'd use the following order.Coursera deeplearning.ai Specialisation by Andrew Ng.Udacity Deep Learning Nanodegree.Udacity Artificial Intelligence Nanodegree Term 1.Udacity Artificial Intelligence Nanodegree Term 2.

Is Andrew ng/ml course still relevant?

Andrew Ng's original Machine Learning course is still the best introductory course out there in my opinion, even if it may be a bit dated. If you follow it up with his recent series on deep learning, you have a powerful one-two punch that will kickstart your machine learning journey.

Is Andrew Ng course sufficient?

No it's not enough to complete a machine learning course by Andrew Ng from Coursera or any other website. Andrew Ng course is one of the best foundational course for machine learning. The course is intended for those who want to start learning Machine Learning.

What should I do after machine learning?

Below are some of the opportunities available to a student taking machine learning courses in pursuit of a machine learning degree.Software Engineer. ... Software Developer. ... Designer in Human-Centered Machine Learning. ... Data Scientist. ... Computational Linguist.

Is Andrew Ng course good?

It turns out that it's really difficult to write good programming assignments for a course, and Andrew Ng does a really good job. Though no formal background is assumed, it's certainly helpful to have some... This is definitely one of the best course on the fundamentals of Machine Learning, available online.

Is Andrew Ng's machine learning course good?

This course provide a lot of basic knowledge for anyone who don't know machine learning still learn. Once again, I would like to say thank to Professor Andrew Ng and all Mentor. Excellent starting course on machine learning. Beats any of the so called programming books on ML.

Is Andrew Ng course difficult?

If you have maths background, then with little focus you can understand it very well. But if you have difficulty in maths then this course is very difficult for you. Machine learning and deep learning is all about maths. Linear algebra, calculus, stats are very important for ML.

Is Andrew Ng course good for beginners?

If you are interested in machine learning (you should) and you are a beginner or know very little about it, Andrew's course is the best investment of your time that you can make.Jan 19, 2017

What language is machine learning by Andrew Ng?

Octave (MATLAB)Octave (MATLAB). This is the language chosen by Andrew Ng for his excellent Machine Learning course at Stanford. Andrew has stated this was a carefully considered decision based on his experience that students learn more quickly in this high-level language.Feb 22, 2018

Is machine learning a good career in 2021?

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 salary of AI engineer in India?

The AI job market has been growing at a phenomenal rate for some time now. The entry-level annual average AI engineer salary in India is around 8 lakhs, which is significantly higher than the average salary of any other engineering graduate. At high-level positions, the AI engineer salary can be as high as 50 lakhs.6 days ago

Is machine learning a good career path?

Yes, machine learning is a great career path if you're interested in data, automation, and algorithms as your day will be filled with analyzing large amounts of data and implementing and automating it. If pay is important to you, a career in machine learning has a good base salary as well.

Is machine learning a subset of artificial intelligence?

Machine Learning is a broad subject of Data Science and Artificial Intelligence and is a sub-set of Artificial Intelligence. Pursuing a career in the field of Machine Learning, Data Science, Artificial Intelligence is a great choice as you can find various career opportunities and interesting job roles.

Is Coursera good for beginners?

Answered June 28, 2021. Andrew Ng’s Coursera class on Machine learning is good enough for beginners as it covers the basics of machine learning. But if you are planning to make a career in data science and machine learning then you’ll have to learn more than just the basics.

Is Andrew NG a good course?

It is a good to select this field because endless opportunities are available in the field of ML and Data science. Andrew NG’s course of Coursera is a good course .After completing this course you get a knowledge of Machine Learning and other concepts which helps you in the path of ML and Data science.

What is the third course in deep learning?

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.

Who is the founder of Deep Learning?

The Deep Learning Specialization has been created by Andrew Ng , Kian Katanforoosh, and Younes Bensouda Mourri. Andrew Ng is Founder of DeepLearning.AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University.

Why is deep learning important?

Today, deep learning engineers are highly sought after, and deep learning has become one of the most in-demand technical skills as it provides you with the toolbox to build robust AI systems that just weren’t possible a few years ago. Mastering deep learning opens up numerous career opportunities.

What is deep learning specialization?

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.

Who is Kian Katanforoosh?

Kian Katanforoosh is the co-founder and CEO of Workera and a lecturer in the Computer Science department at Stanford University. Workera allows data scientists, machine learning engineers, and software engineers to assess their skills against industry standards and receive a personalized learning path.

What is deep learning?

Deep Learning is a subset of machine learning where artificial neural networks, algorithms based on the structure and functioning of the human brain, learn from large amounts of data to create patterns for decision-making.

What is a Coursera specialization?

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization.