Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

docs.google.com

Post reply on HN
Print view View original

41–50 of 123 posts

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#41

Post by agibsonccc »

fnl wrote: post #37
peterhunt wrote: post #35

Earlier quoted context omitted.

This might be true for CV and speech recognition and synthesis, but there are huge categories of problems (dare I say, the majority of industry use of ML) that are either working with time series data (which DL hasn’t had great success with) or must be highly explainable and tunable.

Or you don't have millions of annotated examples to learn from, and no similar problem to transfer from...

I both make most of my money from time series data and use deep learning and work with data with no labels. Here's a recent presentation I did on some of this work and a companion presentation I encourage people to read on how to use this effectively in production.

While you are right that some feature engineering is needed, there's no reason DL can't be a part of your workflow.

https://www.slideshare.net/agibsonccc/anomaly-detection-and-...

https://www.slideshare.net/pacoid/humanintheloop-a-design-pa...

For more of the basics, my book on deep learning might help as well (minimal math vs the standard text book):

http://shop.oreilly.com/product/0636920035343.do

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#42

Post by dmurthy »

kmax12 wrote: post #19

As someone who works with a lot of people new to machine learning, I appreciate guides like this. I especially like the early slides that help frame AI vs ML vs DL so that people can have a realistic understanding of what these technologies are for. For my part, one of the biggest realization I had after many years of applying machine learning was that I got too caught up in the machine learning algorithms themselves…

Really thanks for this. I've recently dived into ML & DL and have slowly but surely realized the importance of feature engineering(FE). Though I've taken a few MOOCs, I haven't found one that truly focuses on FE and still looking.

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#43

Post by natch »

vowelless wrote: post #33

Slide 64: A whole tonne of stuff going on in robotics right now. Just take a look at Boston Dynamics YT channel for some mind bloding research, most of which is driven by ML. . I highly doubt that BD is doing any ML work right now ... Can the author link to specific research that they are doing using ML?

You mean public work perhaps? I imagine they are doing a lot with vision, gait learning, object manipulation, task planning, autonomy, multi-robot coordination, etc. all of which can be enabled by or at least helped along by machine learning, no? Your request for links is valid, I just am surprised anyone would doubt that they are doing ML research unless you are thinking of a strangely narrow definition of ML.

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#44

Post by quacker »

kbart wrote: post #34

Information is great, but it would be much more readable in simple text form or pdf. It's strange that senior creative engineer at Google doesn't know presentation making basics.

It's not surprising that a Google engineer would use Google docs. It's at least easily shareable and there are complementary embedded videos that aren't suitable for text/PDF anyway.

Though, the options to export as a PDF didn't work for me (either via download or as an export to Google Drive). I'm assuming the presentation is too big.

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#45

Post by carlmr »

auntienomen wrote: post #17
zo7 wrote: post #10

Earlier quoted context omitted.

Given the number of plugs for Google products/projects/research (especially near the end) it's probably intended to be more of an ad for Google.

Maybe. OTOH, this guy's resume says he's a web programmer. I'd think if google were recruiting people interested in machine learning, they'd get one of their machine learning specialists to write this.

Specialists are usually the worst teachers, because they assume that you know trivial things. What appears trivial to them is not trivial to the audience though.

https://en.wikipedia.org/wiki/Curse_of_knowledge

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#46

Post by iamwil »

vowelless wrote: post #33

Slide 64: A whole tonne of stuff going on in robotics right now. Just take a look at Boston Dynamics YT channel for some mind bloding research, most of which is driven by ML. . I highly doubt that BD is doing any ML work right now ... Can the author link to specific research that they are doing using ML?

As I remember, they don't use any deep learning ML. I think their stuff is based on something about funnels.

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#49

Post by ForFreedom »

natch wrote: post #40
ForFreedom wrote: post #36

How can I download this slide?

Just use the download button under the gear icon. /s Unfortunately it doesn't work I guess. Oh, and he says he is watching you... Maybe he really means this? Maybe that's why he disabled downloads?

I clicked the gear I clicked the PDF/ PPTX nothing seems to be happening.. I think, I just became "Person of Interest"

Re: Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to

#50

Post by natch »

ForFreedom wrote: post #49
natch wrote: post #40

Earlier quoted context omitted.

Just use the download button under the gear icon. /s Unfortunately it doesn't work I guess. Oh, and he says he is watching you... Maybe he really means this? Maybe that's why he disabled downloads?

I clicked the gear I clicked the PDF/ PPTX nothing seems to be happening.. I think, I just became "Person of Interest"

Yep same here.
Post reply on HN