181–190 of 233 posts
we recommend that students meet the following prerequisites:Mastery of intro-level algebra. You should be comfortable with variables and coefficients, linear equations, graphs of functions, and histograms Any book suggestions to getting up to speed in this area?
we recommend that students meet the following prerequisites:Mastery of intro-level algebra. You should be comfortable with variables and coefficients, linear equations, graphs of functions, and histograms Any book suggestions to getting up to speed in this area?
[0] https://www.amazon.com/Schaums-Outline-Precalculus-3rd-Probl...
This looks like a well put-together course, and a good way to learn TensorFlow. Keras and TensorFlow are top of my list of technologies to explore in the very near future. Is anyone here doing Andrew Ng's Machine Learning course [1]? I'm about half-way through and really enjoying it. I'm particularly appreciating that the programming exercises are done in MatLab/Octave, so I feel that I'm really understanding the fun…
Earlier quoted context omitted.
Khan Academy probably has this covered.
A shame Google doesn’t just link to the Khan Academy course.
Looking through the topics covered, the standard AI-course caveats ( https://news.ycombinator.com/item?id=16247629 ) apply. Yes, AI/ML MOOCs teach the corresponding tools well, and the creation of new tools like Keras make the field much more accessible. The obsolete gatekeeping by the AI/ML elites who say "you can't use AI/ML unless you have a PhD/5 years research experience" is one of the things I really hate about…
You're stating the painfully obvious here. I doubt anyone reading HN is under the impression that they'll be an expert after a single online course.
This is just a marketing stunt by Google to ensure their tooling is the defacto standard for AI/ML so that Google can dominate the AI/ML market they way they dominated Internet Search.
This looks like a well put-together course, and a good way to learn TensorFlow. Keras and TensorFlow are top of my list of technologies to explore in the very near future. Is anyone here doing Andrew Ng's Machine Learning course [1]? I'm about half-way through and really enjoying it. I'm particularly appreciating that the programming exercises are done in MatLab/Octave, so I feel that I'm really understanding the fun…
I used to download all ML videos for offline ad hoc watching. But, this crash course videos cannot be downloaded using 'youtube-dl'. Any recommendations?