How to Get Into Data Science Without a Degree

Advice from a Data Scientist in the same position

This article is for those who fall into one of the following categories:

  1. You don’t have a post-secondary degree but you’re interested in data science.
  2. You don’t have a STEM-related degree, but you’re interested in data science.
  3. You’re working in a field completely unrelated to data science, but you’re interested in data science.
  4. You’re simply interested in data science and want to learn more about it.

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Previous article on  “How I’d Learn Data Science if I Could Start Over.” 

#data-science

AI has cracked a key mathematical puzzle for understanding our world

Partial differential equations can describe everything from planetary motion to plate tectonics, but they’re notoriously hard to solve.

… But partial differential equations, or PDEs, are also kind of magical. They’re a category of math equations that are really good at describing change over space and time, and thus very handy for describing the physical phenomena in our universe. … The catch is PDEs are notoriously hard to solve.

… Now researchers at Caltech have introduced a new deep-learning technique for solving PDEs that is dramatically more accurate than deep-learning methods developed previously. Read More

#machine-learning, #deep-learning

4 Blockers and 4 Unlockers for successful machine learning projects

How to build reliable and useful machine learning systems

Machine Learning projects are known to fail frequently, according to Gartner 85% of all AI projects fail and even 96% deal with problems. When it comes to new technologies a high degree is normal, but these numbers are alarming. That might be that requirements for machine learning are not met, no value is added or the model did not make it to production for engineering reasons. Often it is possible to identify potential problems beforehand. This article is about early identification of such pitfalls based on my experience in applied machine learning for the last five years. Read More

#strategy

For under $40, you can learn all about Python, machine learning and artificial intelligence

This week in thinking machines news, a Harvard professor and his students have now raised $14 million to create artificial intelligence so smart that even hackers can’t crack it. Meanwhile, reports from the White House suggest the federal government is close to issuing their directives on how agencies should regulate AI going forward.

And if story no. 1 makes you at all dubious about the impact of story no. 2…well, welcome to the amazing world of Python, machine learning and the tech wonders and ethical quandaries of creating human-based artificial life. Read More

#adversarial, #ethics, #python