21–30 of 121 posts
After Google Now, DeepDream and all the self driving car hype, reading about that workshop being the start of the big transformation seems strange.
Great article, but I can't help but CRINGE at the "ninja" references. I think that's already played out within the industry... and although pop-tech writers tend to lag a few years behind, it will sound extremely dated in the mainstream within a few years.
> “The tagline is, Do you want to be a machine learning ninja?” I don't really like the word, but I don't really give a flop either. I'm not sure how its better or worse than guru, rockstar, or any other lame word recruiters like to use to make us feel like the special snowflakes we are. Which word would you like to see in place of 'ninja'?
Anyone happen to have a suggested self-teaching path for Machine Learning? I.e. books and courses. I know that Andrew Ng's course is a great resource, but I know that I'm not ready to start it yet. I'm actually way behind on the mathematical pre-requisites, so recommendations for that would be greatly appreciated as well. I've never taken a statistics course, and never received any formal education for mathematics pa…
As an intro to ML, I am a fan of Courseras ML specialization that is done by the University of Washington (https://www.coursera.org/specializations/machine-learning). It's free, except for the capstone, and the instructors do a good job of giving both theoretical & practical grounding in various aspects of ML.
I am sure others will have good suggestions as well. Good luck.
Anyone happen to have a suggested self-teaching path for Machine Learning? I.e. books and courses. I know that Andrew Ng's course is a great resource, but I know that I'm not ready to start it yet. I'm actually way behind on the mathematical pre-requisites, so recommendations for that would be greatly appreciated as well. I've never taken a statistics course, and never received any formal education for mathematics pa…
Six months ago, I would have said Kaggle, Juptyer, Python, figure things out. I've since discovered Microsoft's ML Studio. It allows you to start out with drag and drop (no code to learn) and, most importantly, you can visually see the output of your experiments. For example if you run a binary decision tree algorithm you can actually look at images of the 1000 trees it created and what the nodes from them is. Not im…
Not that there isn't value in immediate results for building excitement and interest--I just want to have proper expectations before I check it out as I'm in a similar state to the parent in terms of where my math is and wanting to dive in.
I was kind of surprised this article hooks with that relatively small "Ninja" workshop. My impression so far was that Google more or less created the whole machine Learning movement (out of necessity from their two core field, search and ads/analytics) and is employing several authorities of the field. After Google Now, DeepDream and all the self driving car hype, reading about that workshop being the start of the bi…
How did you get this impression? It has little basis in reality.
Peter Domingos? Really? Did they mean Pedro? Sigh. Another instance of pop science getting most everything wrong (and I haven't even bothered to write anything about the technical content in the article).
Earlier quoted context omitted.
> “The tagline is, Do you want to be a machine learning ninja?” I don't really like the word, but I don't really give a flop either. I'm not sure how its better or worse than guru, rockstar, or any other lame word recruiters like to use to make us feel like the special snowflakes we are. Which word would you like to see in place of 'ninja'?
Well, if she's a black belt 2nd dan in a martial art, she's entitled.
Earlier quoted context omitted.
Six months ago, I would have said Kaggle, Juptyer, Python, figure things out. I've since discovered Microsoft's ML Studio. It allows you to start out with drag and drop (no code to learn) and, most importantly, you can visually see the output of your experiments. For example if you run a binary decision tree algorithm you can actually look at images of the 1000 trees it created and what the nodes from them is. Not im…
Does this actually teach you much though? Or will you more likely end up toggling a bunch of things, seeing an output, and not having any better understanding of what led to the output or why a given approach works better? Not that there isn't value in immediate results for building excitement and interest--I just want to have proper expectations before I check it out as I'm in a similar state to the parent in terms…
I've never used this Microsoft product, but if lets you take educated guesses at what will work, and gives you some insights into the intermediate steps, then its useful as a check that your mental model of machine learning is becoming more coherent and useful.
Plus, if you slot in something and it gives a better output, you can go back to your studies with a new target of finding out why X param changed things.
Anyone happen to have a suggested self-teaching path for Machine Learning? I.e. books and courses. I know that Andrew Ng's course is a great resource, but I know that I'm not ready to start it yet. I'm actually way behind on the mathematical pre-requisites, so recommendations for that would be greatly appreciated as well. I've never taken a statistics course, and never received any formal education for mathematics pa…
Six months ago, I would have said Kaggle, Juptyer, Python, figure things out. I've since discovered Microsoft's ML Studio. It allows you to start out with drag and drop (no code to learn) and, most importantly, you can visually see the output of your experiments. For example if you run a binary decision tree algorithm you can actually look at images of the 1000 trees it created and what the nodes from them is. Not im…
Anyone happen to have a suggested self-teaching path for Machine Learning? I.e. books and courses. I know that Andrew Ng's course is a great resource, but I know that I'm not ready to start it yet. I'm actually way behind on the mathematical pre-requisites, so recommendations for that would be greatly appreciated as well. I've never taken a statistics course, and never received any formal education for mathematics pa…
Not exactly light on math, so you may want to read up on some multivariate Calculus and Linear Algebra before the later chapters. First few sections should be approachable regardless.