Ask HN: How to Seriously Start with Machine Learning and AI • Hacker News Board

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#11

Post by neel8986 » Wed, Jan 17, 2018, 3:00 PM UTC

This is kind of a masters degree course i created for myself to get knowledge of Machine Learning from bottoms up

First, you need a strong mathematical base. Otherwise, you can copy paste an algorithm or use an API but you will not get any idea of what is happening inside Following concepts are very essential

1) Linear Algebra (MIT https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra... ) 2) Probability (Harvard https://www.youtube.com/watch?v=KbB0FjPg0mw )

Get some basic grasp of machine learning. Get a good intuition of basic concepts

1) Andrew Ng coursera course (https://www.coursera.org/learn/machine-learning)

2) Tom Mitchell book (https://www.amazon.com/Machine-Learning-Tom-M-Mitchell/dp/00...)

Both the above course and book are super easy to follow. You will get a good idea of basic concepts but they lack in depth. Now you should move to more intense books and courses

You can get more in-depth knowledge of Machine learning from following sources

1)Nando machine learning course ( https://www.youtube.com/watch?v=w2OtwL5T1ow)

2)Bishops book (https://www.amazon.in/Pattern-Recognition-Learning-Informati...)

Especially Bishops book is really deep and covers almost all basic concepts.

Now for recent advances in Deep learning. I will suggest two brilliant courses from Stanford

1) Vision ( https://www.youtube.com/watch?v=NfnWJUyUJYU )

2) NLP ( https://www.youtube.com/watch?v=OQQ-W_63UgQ)

The Vision course by Karparthy can be a very good introduction to Deep learning. Also, the mother book for deep learning ( http://www.deeplearningbook.org/ )is good

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#12

Post by paulgb » Wed, Jan 17, 2018, 3:04 PM UTC

joshgel wrote: post #4

I would highly recommend starting with course.fast.ai. Really helped me.

+1. I started with a bunch of theory courses before jumping in to the fasi.ai course but I wish it had been available at the time for me to start with. The theory is a lot easier to internalize when you're working on real networks instead of toys.

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#13

Post by ack0 » Wed, Jan 17, 2018, 3:05 PM UTC

This video got me started, it runs through building a simple neural net in C++ from scratch: https://vimeo.com/19569529

After that I extended it to solve the hand written digits problem. Tweaking it to get past about 80% accuracy taught me a lot of intuition about how the learning rate/other parameters interact.

After that going through Andrew Ng's machine learning course will fill in some of the underlying math.

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#14

Post by 256 » Wed, Jan 17, 2018, 3:06 PM UTC

I don't know much about AI but for ML specifically Elements of Statistical Learning is fantastic. I find its explanations a lot easier to understand than other resources. I recommend you skim through it to get a taste. Additionally if you prefer lectures ETHZ has recordings of their ML class[1].

The best way to learn the details is of course to read the original papers. This is especially true for following along with the latest developments in deep learning.

[1] https://www.ethz.ch/content/vp/en/lectures/d-infk/2017/autum...

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#15

Post by hacknrk » Wed, Jan 17, 2018, 3:08 PM UTC

For now, I'd recommend you start the two courses on: http://fast.ai/

They will guide you through machine learning and deep learning basics without being overwhelming with math. Good luck!

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#16

Post by v3gas » Wed, Jan 17, 2018, 3:20 PM UTC

256 wrote: post #14

I don't know much about AI but for ML specifically Elements of Statistical Learning is fantastic. I find its explanations a lot easier to understand than other resources. I recommend you skim through it to get a taste. Additionally if you prefer lectures ETHZ has recordings of their ML class[1]. The best way to learn the details is of course to read the original papers. This is especially true for following along wit…

I'm working my way through Elements now. Do you by any chance know of any lectures specifically based on it? And solutions to the exercises there? I have found it hard to find (good) solutions.

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#17

Post by Okvivi » Wed, Jan 17, 2018, 3:27 PM UTC

atg_abhishek wrote: post #9

I'm surprised that no one has yet mentioned Andrew Ng's Machine Learning course on Coursera and to go a bit deeper, his deep learning specialization on Coursera as well. Along with the programming assignments it's a solid way to get your feet wet. And definitely second the suggestion of the fast.ai courses as well

As somebody that has started learning AI/ML and was looking at the exact question here three months ago - I found the Andrew Ng deeplearning.ai Coursera course an amazing starting point.

It was high level enough, and got me to understand enough, to get me to a point where I could start trying to build a side-project, without exposing me to the deeper math behind Neural Nets.

It was a great starting point without being overwhelming. Now I feel that I have the option to either go deeper if I need to, or go wider.

I find Andrew Ng to be an amazing teacher - explains things simply, clearly, and in a way that I find super easy to understand.

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#18

Post by 256 » Wed, Jan 17, 2018, 3:49 PM UTC

v3gas wrote: post #16

256 wrote: post #14

I don't know much about AI but for ML specifically Elements of Statistical Learning is fantastic. I find its explanations a lot easier to understand than other resources. I recommend you skim through it to get a taste. Additionally if you prefer lectures ETHZ has recordings of their ML class[1]. The best way to learn the details is of course to read the original papers. This is especially true for following along wit…

I'm working my way through Elements now. Do you by any chance know of any lectures specifically based on it? And solutions to the exercises there? I have found it hard to find (good) solutions.

I haven't looked for any lectures because I learn best from reading books. So, I don't know, sorry. I'm interested in a solution set too.

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#19

Post by jphamtastic » Wed, Jan 17, 2018, 3:55 PM UTC

256 wrote: post #14

I don't know much about AI but for ML specifically Elements of Statistical Learning is fantastic. I find its explanations a lot easier to understand than other resources. I recommend you skim through it to get a taste. Additionally if you prefer lectures ETHZ has recordings of their ML class[1]. The best way to learn the details is of course to read the original papers. This is especially true for following along wit…

For someone who might want a higher-level primer, Introduction to Statistical Learning is also great.

http://www-bcf.usc.edu/~gareth/ISL/

Re: Ask HN: How to Seriously Start with Machine Learning and AI

#20

Post by enraged_camel » Wed, Jan 17, 2018, 3:56 PM UTC

atg_abhishek wrote: post #9

I'm surprised that no one has yet mentioned Andrew Ng's Machine Learning course on Coursera and to go a bit deeper, his deep learning specialization on Coursera as well. Along with the programming assignments it's a solid way to get your feet wet. And definitely second the suggestion of the fast.ai courses as well

I took this course. Andrew is a great teacher. However, I wish he worked on his public speaking a bit. He has certain speech patterns, like starting sentences with "it turns out..." and after a while it becomes extremely irritating, at least to me.

Fantastic course though.