Data Science Future of J 1.

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Presentation transcript:

Data Science Future of J 1

What is Data Science http://datascience.nyu.edu/what-is-data-science/ https://www.youtube.com/watch?v=40riCqvRoMs

How to Learn Data Science https://www.youtube.com/watch?v=Ura_ioOcpQI&t=76s https://www.youtube.com/watch?v=z1kPKBdYks4 https://www.youtube.com/watch?v=N4mEzFDjqtA https://www.dataquest.io/home

ML Introduction https://www.youtube.com/watch?v=cKxRvEZd3Mw https://www.youtube.com/watch?v=tNa99PG8hR8&t=1s https://www.youtube.com/watch?v=N9fDIAflCMY&t=126s https://www.youtube.com/watch?v=84gqSbLcBFE https://www.youtube.com/watch?v=AoeEHqVSNOw https://www.youtube.com/watch?v=cSKfRcEDGUs https://www.youtube.com/watch?v=Gj0iyo265bc https://www.youtube.com/watch?v=IpGxLWOIZy4 https://www.youtube.com/watch?v=VUrqddjkxok

DL Introduction https://www.youtube.com/watch?v=He4t7Zekob0 https://www.youtube.com/watch?v=Q9Z20HCPnww https://www.youtube.com/watch?v=FmpDIaiMIeA

ML in Everyday Life https://www.youtube.com/watch?v=dcZvhP-IqY4 https://www.youtube.com/watch?v=w1xNTLH1zlA

DL in Everyday Life https://www.youtube.com/watch?v=aKSILzbAqJs

ML/DL in Future

Artificial Intelligence, Machine Learning, and Deep Learning

What IS MACHINE LEARNING? Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. https://en.wikipedia.org/wiki/Machine_learning

What IS MACHINE LEARNING?

ML|Data Mining|Data Science|AI|Big DATA Statistics Artificial Intelligence Data Science Big Data “The study and design of intelligent agents” and the creation of machines that learn Massive volumes of structured and unstructured data. Predictive Analytics Machine Learning Data Mining

ML/DL: Open Source Platform H2O.ai https://www.h2o.ai/download/ https://github.com/h2oai/h2o-3/tree/master/h2o-py/demos Turi Graphlob https://github.com/turi-code/tutorials https://turi.com/

How to become a data scientist https://www.quora.com/How-can-I-become-a-data-scientist-1 http://insighthealthdata.com/ https://www.youtube.com/watch?v=tKa0zDDDaQk https://www.youtube.com/watch?v=ccCblUZFM0w

Assignments: Conceptual review https://medium.com/machine-learning-for-humans/why-machine-learning-matters-6164faf1df12 prepare a brief on the review Part 1: for all Part 2.1: Jonas Part 2.2: Ellen Part 2.3: Johan Part 3: Anna Part 4: Sami Part 5: Richard