what to do after andrew ng course

Noted computer scientist and entrepreneur, Andrew Ng, when asked about what projects could be done after completing his popular machine learning Coursera, he had said that a great way to get ideas for new projects is to spend time studying previous projects.

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

Answer (1 of 2): Andrew Ng's Coursera course is adapted from the Stanford class (CS229). Abu-Mustafa (Caltech) refers to it as a watered-down version. Even so, Ng does a great job making the topic approachable and practical. You have two options …

What can I do after the Andrew Ng specialization?

After Andrew Ng's course, a good next step would be to read and do the computation labs in Introduction to Statistical Learning

Is Andrew Ng’s ml course on Coursera good?

After you've done the first course in the Andrew Ng specialization itself, you can compete in the Titanic competition (see link above for details). As you finish the CNN (course 4) and RNN (course 5) courses, you can participate in competitions in computer vision and NLP. The specialization provides a good foundation on "what's out there".

Is Andrew Ng worth it for a beginner?

Nov 13, 2019 · 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.

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What to do after Andrew Ng's course? Option 1: You can start with DeepLearning.ai by Andrew Ng. It has some great mathematics for ML & DL. It is on Coursera. Option 2: You can start course name Deep learning by Nando de freitas from Oxford. Here is …

What comes after Andrew Ng course?

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 should I do after deep learning Specialisation?

What's “next” after Deep Learning specialization from...Go to CS231n and CS244(d) if you haven't completed already. ... fast.ai is a great place to go after.More items...•Feb 24, 2018

Is Andrew Ng course still relevant?

Stanford's Machine Learning course 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 Coursera and, to be honest, in machine learning.Nov 13, 2019

How long does it take to complete Andrew Ng course?

I finished Andrew Ng's Machine Learning course in 1 week. Speeding through the videos on 2x speed, basically dedicating a full work week to doing the assignments.

What course should I take for artificial intelligence?

Tech in Artificial Intelligence. One of the most sought-after courses for students pursuing a career in AI is the Bachelor of Technology in Artificial Learning. Because such AI courses after the 12th grade include computer science and engineering subjects.Apr 1, 2022

Is Coursera certificate worth?

Are Coursera Certificates worth it? On the whole, yes. If you're seeking promotion, looking for a career change, or the skills you are learning are highly sought after, then a Coursera Certificate is definitely worth the investment. Coursera partners and course providers are world class.

Is Andrew Ng course enough for ML?

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.

How good is Andrew Ng Machine Learning Quora?

Good for beginners and those who want to learn about machine learning but don't want to deal with maths behind it. Andrew teaching style makes concepts very easy to grasp for beginners. Assignments are in Matlab so if you are not from computer background then it is simple than working in general programming langua.

How good is Andrew Ng ml course?

One of the best course at Coursera, the content are very well versed, assignments and quiz are quite challenging and good, Andrew is one of the best guide we could have in our side. This is the best course I have ever taken. Andrew is a very good teacher and he makes even the most difficult things understandable.

Is machine learning a good career?

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.

Is the Stanford machine learning course hard?

It is one of the best ML courses designed which require no prerequisite knowledge. Even if you have very little experience in mathematics, you would find it super easy because the course covers all the basic mathematics required. The course starts from scratch and touches most important of concepts of the ML.

What are the four types of machine learning?

There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised and reinforcement.

Beginner Machine Learning Projects with data

I decided to add the projects I've done so far as a beginner in ML, so maybe some people can take ideas, or I can get some ideas from comments.

Stanford CS 329S Machine Learning Systems Design - is there a good online alternative?

It seems like a great course, but sadly not all content is available online (no recorded lectures or labs). I’m wondering if someone knows of a good online alternative with same/similar content?

How to begin a GAN

Hi all I’m new to neural networks. I recently made a classifier for the MNIST dataset at 93% accuracy. It’s fairly low but I thought I ought to try a GAN next and have a few questions

How would you prep for MLE role at FAANG?

I'll be joining grad school this coming fall as an international MSCS student (AI major).