Next Generation School, Machine Learning for Biomedicine
Advances in biological and medical technologies drive continuous generation of large amounts of biomedical Big Data. European Nucleotide Archive stores 260 million sequences comprising 339 trillion nucleotides. This will double in less than 3 years if the current rate of growth is sustained! Given the exponential progress in sequencing technology the increase will only get steeper, entailing an intensified demand for experts in NGS data analysis. Big Data requires applying new solution to leverage its potential. Machine Learning (ML) is the answer to the increased complexity of research problems in science, industry and in everyday life. It is our conviction that knowledge of the ML techniques is a crucial skill every data scientist should acquire throughout their training.
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Reviews and comments:
Good note. In reality, the potential of artificial intelligence will increase. As the increase in (demand for) staff, will not play a role. It is a step down from the computer. Undoubtedly, there will always be a need for specialists. But not so much as to replace the computer. However. The 21st century is the age of technology. Along with scientific fields, we should not forget about the development of Internet resources, because in fact, delving into the study of the micro level, we forget about the macro, the society. Thanks to the development of the Internet we can find a second half for marriage (http://mailorderbridereview.com) or just to communicate (https://costaricainfotravel.com) without leaving home. And this, to some extent, is also progress.
Looking forward to you sharing more information, I have been looking for it for days.
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