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6 Helpful Machine Learning Tutorials and Courses to Grasp the Essentials


Machine learning is the future of automation. Millions of tasks performed by humans on a daily basis will be eventually replaced by neural networks trained. Even now, machine learning algorithms shape your life. The job market is shifting to accommodate this new technology, and those who are capable of programming their own networks (or integrating with existing ones) are in high demand. There has never been a better time to dive into machine learning.

The 10 Best Master's Programs in Machine Learning (ML) for 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. Research Ranking in Machine Learning: 7 Research Ranking in AI: 6 Duration: 1–2.5 years Location: Seattle, Washington Core courses: Computer architecture and logic design, computer science, high-level mathematics, electrical engineering basis, artificial intelligence, data science, machine learning, applied machine learning, statistical analysis.

Google: Race and gender gaps persist in computer science education

USATODAY - Tech Top Stories

SAN FRANCISCO -- New research from Google shows that black students are less likely to have computer science classes in school and are less likely to use computers at home even though they are 1.5 times more interested in studying computer science than their white peers. The findings are part a report released Tuesday by Google in partnership with Gallup that puts the spotlight on the racial and gender gap in K-12 computer science education. Google says its aim with the research, which surveyed thousands of students, parents, teachers, principals and superintendents, is to increase the numbers of women, blacks and Latinos in computer science. Computer science classes are popping up in K-12 schools around the country. The growing effort is coming from many quarters -- the National Science Foundation, the College Board, Freada Kapor's SMASH Academy, Black Girls Code, Girls Who Code, and major tech companies such as Google -- all searching for the best way to put computers and computer know-how in the hands of kids from all racial, ethnic and socioeconomic backgrounds.

A Decade of ACM Efforts Contribute to Computer Science for All

Communications of the ACM

U.S. President Barack Obama discussing his Computer Science for All plan to give students across the country the chance to learn computer science in school. In late January, U.S. President Barack Obama asked Congress to approve 4.1 billion in spending in the coming fiscal year to support the Computer Science for All initiative, aimed at providing computer science education in U.S. public schools. Obama pointed out computer science is no longer "an optional skill" in the modern economy," yet "only about a quarter of our K–12 (kindergarten through 12th grade) schools offer computer science. Twenty-two states don't even allow it to count toward a diploma." While many organizations have contributed to the national effort to see real computer science exist and count toward graduation requirements in U.S. public schools, former ACM CEO John R. White said, "ACM has been there from the beginning."