mwakanosya

10 ms·

61.
How AI Careers Fit into the Data Landscape(blog.insightdatascience.com)
2 points by mwakanosya 10y ago|0 comments
62.
How emerging AI roles fit in the data landscape(blog.insightdatascience.com)
2 points by mwakanosya 10y ago|0 comments
63.
by mwakanosya 10y ago
Engineers often have a lot of experience with control theory and building maintainable systems, and individuals who have a strong math and coding background would be a great fit. Side projects in deep learning and reinforcement learning wou
64.
by mwakanosya 10y ago
The quantitative researchers, in addition to having advanced machine learning experience, should have a strong coding background - experience with large code bases and best practices in software development. Many physicists, computational b
65.
by mwakanosya 10y ago
You need to be able to start your new full-time AI role within about 2-3 months of completing Insight. So we recommend applying within the last few months of your PhD, which will allow for a smooth transition from your program into your new
66.
by mwakanosya 10y ago
I lead the team running the new Insight AI fellows program in Silicon Valley. For the past year, I've been providing guidance and mentorship for Insight Fellows doing deep learning projects as part of our data science program. My backg
67.
Inputting Image Data into TensorFlow for Unsupervised Deep Learning(jeremykarnowski.wordpress.com)
2 points by mwakanosya 10y ago|0 comments
68.
Preparing for the Transition to Data Science(insightdatascience.com)
3 points by mwakanosya 11y ago|0 comments
69.
A Recurrent Neural Network Learns Indeed.com Job Postings(jblkacademic.wordpress.com)
1 points by mwakanosya 11y ago|0 comments
70.
Low-cost Raspberry Pi robot with computer vision(jblkacademic.wordpress.com)
2 points by mwakanosya 11y ago|0 comments