took ng course machine learning, what next?

After the completion of academic studies, machine learning students typically go onto work in machine learning jobs or take on further research in the form of a PhD. I, for one pretty much went into an ML role immediately after my MSc in Machine Learning.

Full Answer

What to do after completing Andrew Ng’s machine learning courses?

As the next level core step to machine learning after completing Andrew Ng’s courses, you can work on the following project ideas. Deep learning assisted object identification. Analysis of the individual remains free from COVID-19 attack and affected by COVID-19. Customer Churn Prediction in the Telecommunication or BFSI industry.

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.

Where can I learn more about machine learning algorithms?

Coursera has data science course taught by John Hopkins University, this will be a good starting point to learn about the different machine learning algorithms. Also, I would look at the kernels published by the competition winners.

Is it good to get started with machine learning?

It's good to get started with it to get your basics right but to enhance your learning, you will need to dig deeper into Machine learning as a subject. You need to ask three simple questions to yourself.

What do you do after Andrew Ng course on machine learning?

After completing Andrew Ng's Coursera class on machine learning, you can join an institute that offers an advanced course in machine learning and also provides job assistance.

What can I do with machine learning course?

Machine learning is a subfield of artificial intelligence dedicated to the design of algorithms capable of learning from data. It has numerous applications, including business analytics, health informatics, financial forecasting, and self-driving cars. In 2022, machine learning skills are widely in-demand.

How long does it take to learn machine learning to get a job?

Machine learning courses vary in a period from 6 months to 18 months. However, the curriculum varies with the type of degree or certification you opt for. You stand to gain sufficient knowledge on machine learning through 6-month courses which could give you access to entry-level positions at top firms.

How many months it will take to learn machine learning?

It takes approximately six months to complete a machine learning engineering curriculum. If an individual is starting without any prior knowledge of computer programming, data science, or statistics, it can take longer.

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.

Is machine learning worth learning?

1) Learning machine learning brings in better career opportunities. According to a Tractica Report, AI driven services were worth $1.9 billion in 2016 and are anticipated to rise to $2.7 billion by end of 2017 of which 23% of the revenue comes through machine learning technology.

What is the salary of machine learning expert?

Machine Learning Engineer salary in India ranges between ₹ 3.5 Lakhs to ₹ 21.6 Lakhs with an average annual salary of ₹ 7.5 Lakhs.

How do I start my career in machine learning?

We have listed down a few skills that are required below for Artificial Intelligence Jobs.1 Statistical Skill. ... 2 Mathematical skills and Probability. ... 3 Programming skills. ... 4 Advanced Signal Processing Techniques. ... 5 Distributed Computing. ... Start preparing yourself. ... Work on projects. ... Take away.

Can I get a job with machine learning certificate?

Because of the complexities of this field, professionals in machine learning usually aim for a master's degree or at least a bachelor's degree. However, thanks to new alternative education pathways, you can secure a job in this field through a coding bootcamp or professional certification.

Can a fresher get a job in machine learning?

Of course. A fresher can get a machine learning job if he/she masters the required skills. To have a successful career in the machine learning landscape, freshers need to plan on how they can perform well and work closely with people who have considerable experience in the same field.

Can I get a job in machine learning without a degree?

In this post you learned that you can get started in the field of machine learning and make the progress you seek without a degree or higher degree. You learned that there are multiple paths available and a degree is but one path that can consume a lot of time and resources.

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 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 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.

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's Coursera class good?

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.

Can you use Python for ML?

Most companies, including startups, rather use Python for ML. But that isn’t an issue. When taking Andrew Ng’s course, you can parallelly implement the algorithms in Python as well. To start off with, you can use the Sklearn library in Python which is one of the easiest to learn and implement.

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.

What Is The Course Structure?

This 11-week completely online course is comprised of video and reading lectures, quizzes, and programming assignments. Not all weeks will contain programming assignments, but every weekly topic will have its quiz.

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 beneficial. 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?

This course has a free, paid, and financial aid option. 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.

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.

Final Thoughts

This course was a great experience and I thoroughly enjoyed the topics. The way that it is structured to gently help you through each week is amazing. I am disappointed that it was not completed in a common machine learning language, but what you get out of it outweighs that want.