- For me, a good summer will always mean what they meant during my Ph.D.: four months to grind your heart out — to read 500 journal articles, submit five research papers, or finish that one big project.
- It is a time when the burden of daily responsibilities and thousand little emergencies lifts and you are free to work on big projects with big goals — to enter the chill of fall better, smarter, and farther than before.
- I left academia and if there is one thing I miss, it is the summers.
- However, this summer I am going back to the summers of my Ph.D.: a summer of machine learning.
- From June 1st to September 30th I will make a four month sprint to become a better data scientist and machine learning engineer, filling the dog days of summer with reading, writing, coding, and running.
Data Science for Political and Social Phenomena
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- With a higher capacity for unbiased, constructive problem solving, an AI president could potentially prove to be a better leader than our human ones.
- Others have pushed the idea of an AI president before, with one group even fighting for Watson, IBM’s AI, to run for the position in 2016.
- The president could be programmed to follow conservative or liberal agendas, or instead of electing an AI designed to reflect one political party or another, we could just vote on various issues that would then be considered by our unbiased AI leader.
- As AI systems take on tasks traditionally held by human doctors, lawyers, and even songwriters, considering an AI president isn’t so far-fetched.
- AI can now even be used to create better AI, so it might be time for us to consider a future in which our political leaders are smarter, fairer, and, well, less human.
Some think we might be better off with an AI president than a human one.
Continue reading “Could an AI Ever Be Elected President?”
- Robots from Siemens move like spiders and communicate with a hive mind.
- Killer spiders,” Bank recalls. “
- Watch the Spiderbots Train to Build a City on the Moon
- ” the robots are not to replace the humans,” Dalloro stipulates.
- Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the world.
Robots from Siemens move like spiders and communicate with a hive mind. Oh, and they’re 3D printers, too.
Continue reading “Watch These Spiderbots Train to Build a City on the Moon”
- Model training using the data set
- Data sets hold the data which will be used in training your models, whereas, test sets hold the data which you will be using to test and evaluate your models.
- Data sets join and data wrangling
- The Restaurant ratings data set along with the customer and Restaurants data set are all used in training the matchbox recommendation model.
- I have trained my model using the restaurant ratings data sets along with two more data sets; the Restaurant customers and restaurants data sets.
Machine learning is basically teaching computers to solve big problems based on either example data or past experiences. Example data, is purely unlabeled, with unknown and undetected structure. Your…
Continue reading “Machine Learning 101— Supervised Learning – Shaden Mar’i – Medium”
- Artificial Intelligence for Humans is a book series meant to teach AI to those readers who lack an extensive mathematical background.
- No knowledge of biology is needed to read this book.
- Nature can serve as a guide for real-life problem solving.
- Nature can be a great source of inspiration for artificial intelligence algorithms because its technology is considerably more advanced than our own.
- The complex behaviors in nature merely provide inspiration in our quest to gain new insights about data.
Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms Offer Price $23.99
Continue reading “Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms”
- A recent series of 8 lectures on deep learning that I gave at Collège de France in Paris.
- You can get a broad idea of deep what deep learning is about through tutorial lectures that are available from the Web.
- Nikhil Dandekar , worked on machine learning at Microsoft, Foursquare and Quora
- my 2015 course on Deep Learning at NYU: deeplearning2015:schedule | CILVR Lab @ NYU (unfortunately, the videos of the lectures had to be taken down due to stupid legal reasons, but the slides are there).
- There is tons of on-line material, tutorials and courses on ML, including Coursera lectures.
Read the full article, click here.
@kylebrussell: “Facebook director of AI research @ylecun’s recommendations for self-studying deep learning”
I’ll respond more specifically for deep learning. You can get a broad idea of deep what deep learning is about through tutorial lectures that are available from the Web. Most notably:
Yann LeCun’s answer to What are your recommendations for self-studying machine learning?