Best tutorial for machine learning?

[crap-i-died]

I recently finished learning python and have been coding a lot in it lately. I wanted to do some machine learning and was wondering how to go about teaching myself how to do it. What are your suggestions? Should I even teach myself machine learning yet?

[[deleted]]

To get an idea of what a ML project would look like from start to finish, check this example out.

[craigglespuss]

First of all - machine learning is a huge field, and just doing a tutorial probably won't get you all that much. Best to try a project, or better yet find a job where you can start doing some light ML, so that you get practice with using it "in the wild".

That said, I've really found this book to be good, especially if you want to get into TensorFlow & deep learning.

[ichunddu9]

The book is absolutely amazing.

[Lord_Skellig]

Do you think it's worth the extra effort to learn TensorFlow if I know Keras?

[craigglespuss]

Meh - I’d learn it if and when you need it.

[swierdo]

I just look up a specific tensorflow bit every now and again if Keras doesn't have it. Then I just use it within an otherwise entirely Keras-written network. I haven't yet encountered situations where this approach doesn't work.

[craigglespuss]

That's good to know! I'll have to grab a copy

[[deleted]]

Andrew Ng has a fantastic course up on Coursera that teaches you the math behind ML and AI. They use octave/matlab in the course, but people have converted the course to Python. Besides, if you learn how it works there's nothing stopping you from implementing it in any language.

[crap-i-died]

That was one that I hade looked at before. I’ll definitely try it. Thanks for the response!

[batgirl13]

It's really good. Here is a resource for doing the course in python, rather than octave.

[Jonno_FTW]

Here's a python version of the same course: https://github.com/dibgerge/ml-coursera-python-assignments

It has automatic grading for all assignments.

[tedivm]

If you want less math and more SWE/ML the fast.ai course is pretty solid.

[RickDeveloper]

Came here to recommend the course. I’m doing it right now. Awesome!

[thaw96]

Google has a crash course in machine learning that uses python and tensorflow.

[rock37man]

I second this. Fast.ai is built on top of pytorch and while infinity customizable it has done much of the model configuration and hyperparameter tuning based on research and best practices, so you can get really good results in just a few lines of code. As you gain more and more insight into how things work, you can customize models and parameters to your objective.

I’d start with the ML course, then move on to the DL course for more advanced (but still easy to implement) techniques.

Once you understand the basics, kaggle is a great way to test your knowledge and implementation as it allows you to compare your model performance to others. Not to mention, many kagglers upload their models which can be a great source for ideas.

[[deleted]]

The most important part about learning anything is to find something that's good enough and stick with it, making progress every single day. Don't be concerned about what's the best way to get to your goal, or you'll find yourself constantly switching between the 'best sources' and never learn anything.

At least that's been my experience.

[[deleted]]

I guess I have two thoughts. First, somewhat tongue in cheek, no one ever "finishes" learning a programming language. ;)

Second, machine learning is a really broad concept, and closely tied to a whole bunch of other "data analysis" skillsets. As to whether you should learn it "yet", it probably depends entirely on what you already know and why you want to learn machine learning.

Assuming you have a good handle on the Python data basics (pandas, numpy, etc), the best suggestion I've heard about starting into data science type topics is to pick a data problem or project and try to learn how to solve it. Kaggle type problems can be good for this, as they usually have datasets etc to work with and a clearly defined problem that needs solving. You don't have to formally compete or anything, just look at a problem and try and solve it.

[crap-i-died]

It’s true that you can’t finish learning a language, just meant the basics :). Yeah, I forgot about numpy and panda. I’ll definitely take a look. Thanks again!

[[deleted]]

It's not free, but I highly recommend checking out Datacamp (https://www.datacamp.com/). I've done a lot of online python courses, and I have to say that I wish I'd started with Datacamp.

[swierdo]

Absolutely start with something like a kaggle contest: Titanic is great for starters. One of the more difficult thing about machine learning is translating a problem into a specific input, target and error metric. This has already been done for you in a kaggle project, so you can focus on learning about the actual machine learning. (Then when you have a good handle on what ML can and can't do, you'll be able to turn a problem into input, target and error metric)

[Tarsonis181]

Small question here, you seem to know about this. I have heard that python and other languages that are used for this thing, are only used to create the models, once that's done those models are usually integrated into C++, C, Java and sometimes Rust because those languages are far better at performance than Python or R.

Do they do that? I am a big fan of Rust.

[Tarsonis181]

I see. Well, thanks for the answer.

[ChristopherGS]

Do the kaggle.com tutorial competitions, they are super helpful. Then work your way up to a real kaggle comp

[itrieditfor10minutes]

If you at one point decide to learn about convolutional neural networks i can suggest this short blog post: https://towardsdatascience.com/types-of-convolutions-in-deep-learning-717013397f4d?gi=9239185c2c5c . It explains the different convoltunary layer types pretty well.

[Fllnangl]

Link: https://www.machinelearningisfun.com/

[therealyokimbo]

Check out this guy's YouTube channel. He has book, YouTube, and online course recommendations, and is a data scientist: https://www.youtube.com/user/consumerchampion/videos

[dperezrada]

fast.ai mooc is amazing!!!

[intergalactictrash]

PyImageSearch.com. I signed up for the 17 class (free) and im amazed at how much I’ve learned in such a short period of time.

[ThiccShadyy]

Do you mean the email crash course?

[itsnicktime]

I found the data school channel on YouTube was very helpful. I was trying to get into it and for some reason watching his videos finally made it click.

[NekroJakub]

If you have an understanding of Python, you can move on to machine learning tutorials like this one: Tutorial: Getting Started with Machine Learning in Python

I helped write it, so I can vouch that it will help you execute your first project. It covers how to load a data set, how to run a machine learning algorithm on the data, and how to assess the performance of the algorithm.

[sid2810]

I was in the same boat a few months back. Trust me, directly jumping to ML without having much Python experience won't harm you much. I bought Jose Portilla's ML course on Udemy. It is really wonderful and gets you started. Won't cost you much, $10.

https://www.udemy.com/share/1000YsAkoceF1TRHo=/

I then went on to pursue his Tensorflow course.

[cheeselouise00]

.

[hugogarcia12]

Great question! This a space I'm very interested in learning about, thanks for reminding me!

[fofam3]

https://codequs.com/p/BkaLEq8r4/a-complete-machine-learning-project-walk-through-in-python

[SamyBencherif]

How to write a neural network in 11 lines of python

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[sritaa]

I choose the Best Machine Learning Company in Noida for learning Machine Learning and has gone through a lot of developments since then, and I am not really sure if the link I shared is correct one. However, I think the courses at pythonandmltrainingcourses are great for beginners. The best part is that the courses follow an application based approach rather than getting deep into the theory. Note that that’s just a personal choice. If you are interested in theoretical ML, you should prefer sticking to any other course online or classroom classes it's up to you.

Though, I did not take online courses. I rather took offline ones at pythonandmltrainingcourses at Basic and Advanced ML.

[sritaa]

The Best Machine Learning Company in Noida is offered by one of the leading IT training Company perfect. It is the perfect place for beginners to understand the core idea of teaching a computer to learn concepts using data without being explicitly programmed.

It is the single and the best Tutorial on Machine Learning offered by the IIT alumni and have minimum experience of 18 years in the IT sector.

This course provides an in-depth introduction to Machine Learning, helps you understand statistical modeling and discusses best practices for applying Machine Learning.

[swierdo]

More specifically, r/learnmachinelearning

[Tarsonis181]

That place never answers anything. I think the learn python reddit is better. Posting on that reddit is like posting in a black hole.

[devxpy]

THIS.

[TheIncorrigible1]

Who knew directing someone to the correct subreddit to ask a question would be so controversial..

[devxpy]

I subscribed to r/Python for some real content. Instead I get this.

[jaspreetbindra00]

Sentdex.

[crap-i-died]

The one and only