Best Universities for a Masters Degree in Machine Learning
Best Universities for a Masters Degree in Machine Learning
Top Universities to Pursue an MS with a Focus Area in Machine Learning

Careers, Education, Machine Learning

These are the best universities to pursue a master’s degree in machine learning, with research rankings in AI and machine learning research.

Last updated on September 23, 2020

Considering various factors such as the research areas, research focus, courses offered, duration of the program, location of the university, honors, awards, and job prospects, we came up with the best universities to help you in your choosing process. This article is most suited for individuals who’d like to pursue a master’s degree with a focus on machine learning and need some guidance on their decision making.

Feel free to jump to the end if you are looking for only the names of the Universities.

Note: The universities mentioned below are in no particular order.


AI Progress in Japan | Towards AI

The die is cast…

AI and deep learning are not just “buzz words.” These technologies have been coming to cause an impact in the real world, especially in industry, i.e., automation, prediction, perception, and so on.

From a global point of view, the country leaders progressing in AI are the US and China, yet what about the next Asian tiger? Japan is struggling with implementing AI, machine learning, and deep learning technology advancements to the business world. Which it’s been caused by Japanese traditional business schemes for promotion, hiring, and management systems. …


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Top Universities to Pursue a Ph.D. with a Focus Area in Machine Learning

Careers, Machine Learning, Education

These are the best universities to pursue a Ph.D. in machine learning

Last updated on August 14, 2020

Considering various factors such as the research areas, research focus, courses offered, duration of the program, location of the university, honors, awards, and job prospects, we came up with the best universities to help you in your choosing process. This article is most suited for individuals who’d like to pursue a Ph.D. with a focus on machine learning and need some guidance on their decision making.

Feel free to jump to the end if you are looking for only the names of the Universities.

Note: The universities mentioned below are in no particular order.

1. Carnegie Mellon University

Program Name: Ph.D. in Machine Learning
Research Ranking in Machine Learning: 1
Research Ranking in AI: 1
Duration: 4–5+ years
Location: Pittsburgh, Pennsylvania
Core courses: Advanced machine learning, statistics, research, statistical machine learning, data analysis, artificial intelligence.
Tracks available: Ph.D. in Machine Learning, Ph.D. in Statistics and Machine Learning, Ph.D. in Machine Learning and Public Policy, Ph.D. in Neural Computation and Machine Learning, Ph.D. in Computer Science, etc.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, robotics, deep learning, data mining, web and information retrieval, etc.


Producing novel treatments for psychological disorders with the help of machine learning

November 1, 2018, by Stacy Stanford — last updated May 23, 2020

System1 Biosciences uses machine learning, neuroscience, robotic automation, and cerebral organoid science [3] to discover deep characterizations of the disorders to develop novel therapeutic targets and drug treatments.

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Designed by Machine Learning Memoirs Inc. | Image Labeled for Reuse with Proper Credits

What if we told you that there is a company that grows “mini-brains,” doses them with research drugs, and then reads their data outputs with the help of machine learning and robotic automation?

System1 Biosciences, a Silicon Valley-based neuro-therapeutics company that combines cerebral organoid science, systems neuroscience, robotic automation, and machine learning, is working to discover characterizations of disease never before achievable, in which these “deep phenotypes” are exploited to identify novel therapeutic targets and drug treatments [4]. The startup announced this past September that it raised a $25 million Series A round [7] co-led by CRV and Pfizer Ventures, as well as several other investors participated in the deal. …


A short pool of AI-trained job seekers has slowed down hiring and impeded growth at some companies

October 19, 2018 by Stacy Stanford

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Carnegie Mellon University Computer Science and Engineering Career Fair 2018 | Source: Carnegie Mellon University

A great quantity of employers looking to hire the next generation of tech employees descended on the University of California, Berkeley and Carnegie Mellon University, School of Computer Science in September to meet students at computer science career fairs.

Boris Yue, 20, was one of thousands of student attendees, threading his way among fellow job seekers to meet recruiters. His choice of specialty makes it unlikely he will have difficulty finding work. “There is no shortage of machine learning opportunities,” he said.

Undoubtedly, he is right.

Machine learning is now being used in an ever-expanding array of products: cars that drive themselves; robots that identify and eradicate weeds; computers able to distinguish dangerous skin cancers from benign moles, along smart locks, thermostats, speakers and digital assistants that are bringing the technology into homes. At Georgia Tech, students interact with digital teaching assistants made possible by AI for an online course in machine learning. …


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Credits: Pinterest — Tag: AI

Artificial Intelligence, Careers

While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an AI or Machine Learning (Specialist/Scientist/Engineer.)

August 29, 2018, by Stacy Stanford — Last updated: May 20, 2020

Artificial intelligence salaries benefit from the perfect recipe for a sweet paycheck: a hot field and high demand for scarce talent. It’s the ever-reliable law of supply and demand, and right now, anything artificial intelligence-related is in very high demand.

According to Indeed.com, the average IT salary — the keyword is “artificial intelligence engineer” — in the San Francisco area ranges from approximately $134,135 per year for “software engineer” to $169,930 per year for “machine learning engineer.”

However, it can go much higher if you have the credentials firms need. One tenured professor was offered triple his $180,000 salary to join Google, which he declined for a different teaching position. …

About

Stacy S.

Senior Editor at Towards AI | ✊🏿 #BlackinAI | For Authors @towards_ai → https://towardsai.net/contribute | Inquiries: sstanford@towardsai.net

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