In fact, I want to start the year with a MOOC or a video course on deep learning. I went over the current offerings, and am hesitating between Andrew Ng's new Deep Learning course at Coursera in 5 parts, and self-studying through the cs231n Stanford course (it has all the videos, assignments etc. posted). Can anyone help me decide between the two, or offer something else? I'm looking for mathematical understanding as well as hands-on experience, and am not afraid of math.
From my personal experience I would recommend Andrew NG's courses. (I am on the second one right now). I have done fast.ai's first course which is low on math and more practical (you directly jump to coding, and then try to make some sense of things.) CS231n is definitely a great option, however I chose coursera because I needed deadlines/reminders of Coursera to keep me motivated and finish something. If you are looking for more options, there are lot more courses listed here in Machine Learning category : https://github.com/prakhar1989/awesome-courses however I don't know if someone has reviewed them.
I also want to learn the machine learning, and I have learned for three weeks in the Andrew Ng's courses in the coursera, I will work for my first programming exercise. The course in the Andrew Ng is suited for me!
More Japanese (going for N3 in December) . Android game programming (iOS is apparently more profitable, but Java aligns better with my day job and lack of Apple devices). Possibly some deep learning.
After learning casually for over 3 years, I'm going to finally give the JLPT a try. I actually did a practice N4 test and the grammar was easy, but vocab is what really held me back
Vue 2. I love Laravel, I suck at front end. I'm working on a monitoring app at the moment that could really benefit from live updates to the display, usually I'd use jQuery and timers, but I'd like to try something more modern.
Machine Learning and Ethereum dapps. I will be taking machine learning electives at school and my employer is looking for ways to make use of blockchains, so I got those going for me :)
Furniture eCommerce. How do people buy furniture online without physically trying the furniture? How do you ship furniture across the country? What are the niches in the space?
Pure software on its own can't do much. Gotta learn about the real world.
Every now and then there is this dude who posts regularly about algorithm trading.
I guess I'll try that in 2018.
I don't expect to make profit right away, not even till 2020.
Look at his submissions. He posts almost every day and their always one of about 3 major news outlets. I'd have to say I agree that that seems unrealistic for someone with honest motives.
Learn to speak the way Jony Ive speaks when he says:
> One of my memories at Apple would be less the actual products that we developed, but the way that we developed them. I think that's been something that I, everyday, feel grateful for.
What I want to learn: thinking in array languages. Have been curious about them for a while, but over the holidays went through Advent of Code in K/Q. Without much prior knowledge, some of my solutions ended up distinctly awkward, but for some problems the solutions just fell out. Reasonably sure that the fraction of "just falls out" will increase substantially given a some more practice...
What I probably should learn: how to sell. Increasingly clear that it's something I'm going to need in the next few years whichever path I take. Something that leaves me pretty nervous though (and some of the obvious ways to try stuff out, like monetising side projects, may be awkward in the context of $day_job).
It’s a series of problems with tests and solutions. The problems will take you through a set of interesting CS problems which you’ll be solving using features of the language.
It’s addictively fun and will help you understand ruby before you dive into rails.
Also, you may find it useful to play with Sinatra a bit before diving into rails.
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[ 4.5 ms ] story [ 107 ms ] thread2) Some Japanese for a trip next year
3) Better meditation practices
4) General and technical knowledge via my goal of listening to 25 audiobooks next year
In fact, I want to start the year with a MOOC or a video course on deep learning. I went over the current offerings, and am hesitating between Andrew Ng's new Deep Learning course at Coursera in 5 parts, and self-studying through the cs231n Stanford course (it has all the videos, assignments etc. posted). Can anyone help me decide between the two, or offer something else? I'm looking for mathematical understanding as well as hands-on experience, and am not afraid of math.
https://news.ycombinator.com/item?id=14647413
• Learn to write Ethereum dapps
• Tinker with modern GPUs on my QuadG5 under Linux.
Profit
Pure software on its own can't do much. Gotta learn about the real world.
Learn spanish.
Learn to free dive to 150 feet.
> One of my memories at Apple would be less the actual products that we developed, but the way that we developed them. I think that's been something that I, everyday, feel grateful for.
https://youtu.be/ef69BUlge-A?t=1m9s
What I probably should learn: how to sell. Increasingly clear that it's something I'm going to need in the next few years whichever path I take. Something that leaves me pretty nervous though (and some of the obvious ways to try stuff out, like monetising side projects, may be awkward in the context of $day_job).
At least so I can ship things confidently. If anyone has any suggestions, would love to hear them!
It’s a series of problems with tests and solutions. The problems will take you through a set of interesting CS problems which you’ll be solving using features of the language.
It’s addictively fun and will help you understand ruby before you dive into rails.
Also, you may find it useful to play with Sinatra a bit before diving into rails.