History of Computer Science Podcast Computer Science |
- History of Computer Science Podcast
- AI Development: Reinforcement Learning (RL) & Deep RL Tutorial With Sample Codes/Demo
- Comparison between online masters and onsite university masters in Australia
- A fast quantum interface between different spin qubit encoding.
- Bitwise operators and tricks!
- It is difficult to secure an entry level programming job with no work experience upon graduation?
- 5 Programming Advancement Patterns To Look For In 2019
- Economists vs. Computer Scientists on long-term growth due to AI & related technology
- Python Programming for Everyone
| History of Computer Science Podcast Posted: 30 Dec 2018 08:53 AM PST |
| AI Development: Reinforcement Learning (RL) & Deep RL Tutorial With Sample Codes/Demo Posted: 30 Dec 2018 06:36 AM PST There are many RL tutorials, courses, papers in the net. This one summarizes all of the RL tutorials, RL courses, and some of the important RL papers including sample code of RL algorithms. It will continue to be updated over time. https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo Extra: LSTM and RNN Tutorial with Demo (with Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation Projects). [link] [comments]  |
| Comparison between online masters and onsite university masters in Australia Posted: 30 Dec 2018 11:30 PM PST Hi All, This is my first post in reddit so please don't hesitate to discuss with me if you need more information. I graduated in June this year from uni, I have bachelors in Stats and Commerce, and master in Stats. Currently I am working for a large bank in Sydney doing analytical work and applying my Stats knowledge. Upon graduation, I realised that I was more fascinated by computer languages and machine learning algorithms as I had some exposure to that in my Master of Stats degree, and looking forward to getting to know more and getting a career in machine learning or data science in the future (well I admit it was also because I could get higher pay lol). Since I am working full time at the moment, I am comparing the online masters (probably with Coursera) and onsite part-time university degrees (e.g. degrees with UNSW, UTS or USYD). This is a long-term career plan for me, I am not really worrying about tuition fees because I can cover it with my saving throughout the years. The most important thing for me is whether the structure, content, and workload will make me end up in a machine learning or data science related position. BTW I have programming backgrounds in R, SAS, SQL, and Python (nor object-oriented, mostly for data analysis). Feel free to add if you have had experience with other forms of learning and got you a job in data science. Thank you very much guys and hope you have a wonderful new year! [link] [comments]  |
| A fast quantum interface between different spin qubit encoding. Posted: 30 Dec 2018 04:12 PM PST |
| Posted: 30 Dec 2018 06:22 PM PST |
| It is difficult to secure an entry level programming job with no work experience upon graduation? Posted: 30 Dec 2018 08:29 PM PST I'm halfway through my penultimate year of theoretical physics. Would a knowledge in python and programming along with projects on github be enough to get a job? I'm kind of nervous because I don't think it will be possible without work experience.... [link] [comments]  |
| 5 Programming Advancement Patterns To Look For In 2019 Posted: 30 Dec 2018 07:00 PM PST |
| Economists vs. Computer Scientists on long-term growth due to AI & related technology Posted: 30 Dec 2018 01:01 PM PST |
| Python Programming for Everyone Posted: 30 Dec 2018 08:38 AM PST |
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