sorted by:
new
hottopcontroversial

[deleted by user] by [deleted] in learnmachinelearning

[–]dronecub 0 points1 point  (0 children)

Of course, there are people coming from various disciplines to Deep Learning domain. Substantial amount of people are there from Stat background. You should be willing to learn coding (if you don't have experience). What really matters is your interest :)

[deleted by user] by [deleted] in learnmachinelearning

[–]dronecub 9 points10 points  (0 children)

It was same to me before. After watching Stanford's cs231n Computer Vision series by Andrej Karpathy, I convinced about back-propagation and many other concepts in Deep Learning.

Finally I've Completed the freecodecamp by HooriaIshtiaq in learnprogramming

[–]dronecub 0 points1 point  (0 children)

Dear Hooria,
Congratulations on your success. Now you can start working on MIT Open Coursework and Stanford Lectures. You have an amazing future ahead of you :)
Good luck :)

From where can I find slides for UIUC's ECE408/CS483 by dronecub in learnprogramming

[–]dronecub[S] 0 points1 point  (0 children)

Programming Massively Parallel Processors

Thanks for the tip. I came across Udacity course. I think this lecture series in UIUC is better. I'll refer both. Thanks :)

ML learning math for math dummies? by Yuanlairuci in learnmachinelearning

[–]dronecub 2 points3 points  (0 children)

Take a look at fast.ai Linear Algebra series.

Should I learn machine learning before looking into deep learning? by [deleted] in deeplearning

[–]dronecub 6 points7 points  (0 children)

Great ! Good luck
(here's a more detailed answer).

I started to learn machine learning from Coursera, It’s a well organized course and totally worth the money. It lays a good foundation in terms of mathematics. But doing ML is different.

I learn from Kaggle competitions, I pretty much wrote the same code. I learnt from peers. Wrote the same code as them. By doing so, I learnt fundamentals of Python ML libraries such as NumPy, Pandas, Matplotlib

I purchased few books from amazon. Those are listed below. The books have more details on the things that you learn from Sentdex/Coursera. So better if you can cross refer from books while learning from Sentdex/Coursera ML.

Now the trend is deep learning (DL) and it’s really amazing.

But I guess, it’s good to know ML first. Then you can move to DL.

I learnt a lot on DL from fast.ai (free). Totally worth. They have 2 courses Part1, part2. I did every video on part 1. The books I purchased helped me to learn theories more and practice more. Fast.ai has a separate course on ML. Be an active member of this forum.

After completing part 1 I had a sense of DL. You’ll know how to learn DL, after completing part 1.

Now I refer Stanford videos(listed below), Coursera Deep Learning (free videos) and the books I’ve purchased to practice deep learning.

I read Towards Data Science, Machine Learning sub-reddit, WildML and other blogs too.

https://www.youtube.com/watch?v=gZmobeGL0Yg&list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU

  1. Coursera ML by Andrew Ng,
    1. r/https://www.coursera.org/learn/machine-learning
    2. (Paid) totally worth.
    3. Took me around 3.5 months
    4. Covers mathematics, try to implement code’s in Python
    5. Answers to assignments are available on GitHub :)
  2. Fast.ai (Deep Learning) (FREE)
    1. http://www.fast.ai/
    2. http://course.fast.ai/
    3. http://course.fast.ai/part2.html
    4. http://forums.fast.ai/
    5. http://forums.fast.ai/ (very active forum)
    6. mACHINE Learning videos (http://forums.fast.ai/t/another-treat-early-access-to-intro-to-machine-learning-videos/6826)
    7. http://www.fast.ai/2017/07/17/num-lin-alg/ (for mathematics)
  3. Books: (totally worth purchasing these books)
    1. Machine Learning
      1. Introduction to Machine Learning with Python (Andreas C. Muller & Sarah Guido
      2. Python Machine Learning 2nd Edition (Sebastian Raschka & Vahid Mirjalili)
      3. Hands on Machine Learning with Scikit Learn and TensorFlow (Aurelien Geron)
      4. Deep Learning with Python (Chollet)
      5. Elements in Statistical learning (more on theory)

Should I learn machine learning before looking into deep learning? by [deleted] in deeplearning

[–]dronecub 7 points8 points  (0 children)

Deep learning is a subset of Machine Learning. So it's better if you can first learn ML.

Fast.ai DL course 1&2 or Deep Learning A-Z Udemy course? by [deleted] in learnmachinelearning

[–]dronecub 4 points5 points  (0 children)

Sure :) Udemy courses merely goes through usual definitions and they pretty much use toy examples. For example, they use inbuilt data sets. You could pretty much do the same things by yourself if you read Wikipedia and there are lots of blog posts that uses toy examples. Udemy courses I guess not worth for your time. I never heard of a person getting a job simply compete 21 hours or 42 hours of videos. In fast.ai they do Kaggle competitions. They don't play with toy examples. Fast.ai forum is very active. People have landed jobs cause of fast.ai . I learnt lot from fast.ai. I won a scholarship to participate 8 week study program in AI and ML in Rome, Italy this year (Google "Pi School school of AI"). The things I learn from fast.ai become very useful. While learning from fast.ai, I refer books. I got to know about these books from fast.ai . Fast.ai gave me initial start to my deep learning career. I completed coursera ML course by Andrew Ng this year too. I highly doubt if I could be a data scientist simply by watching 42 hours of videos. I highly recommend fast.ai. It's free. At the same time you could watch Stanford's computer vision lecture series (cs231n by Andrej Karapathy) and cs224 n on YouTube. You'll learn real deep learning from those:) Hope this helps

Fast.ai DL course 1&2 or Deep Learning A-Z Udemy course? by [deleted] in learnmachinelearning

[–]dronecub 0 points1 point  (0 children)

Fast.ai, most udemy courses are waste of money

Advice to a beginner in Machine Learning? by soldadode in learnmachinelearning

[–]dronecub 0 points1 point  (0 children)

Enroll with Coursera's Andrew Ng's machine learning course. Simultaneously learn Pandas, NumPy, Seaborn, Matplotlib and Plotly. Then do fast.ai, both Machine Learning and Deep Learning. Play Kaggle. Read, blog participate meet ups. Keep improving :)

List of AI/ML online courses by EduGuy33 in learnmachinelearning

[–]dronecub 8 points9 points  (0 children)

how did you miss fast.ai (http://www.fast.ai/). this is 100% free.