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Complete Guide of Quantum Computing Resources

Data Science 101

Here is a large listing of resources for learning about quantum computing. Quantum Computing Startups Quantum Brilliance QuEra Rigetti IonQ Qbraid Q-CTRL What resources are missing from the list? Leave a comment below. Quantum Computing Dev Newsletter Want to stay up-to-date on the latest news and jobs for Quantum Computing Developers?

Azure 111
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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. This collaborative atmosphere, combined with individual lab meetings and the broader ML² seminars, fostered a culture of continuous learning and knowledge sharing.

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How Schools Are Coaching — or Coaxing — Teachers to Use ChatGPT

Flipboard

For leaders like Daniel-Hardy, the introduction of generative AI to the teaching-learning process “feels different,” even though they’ve seen multiple waves of disruptive technology circle in and out through classrooms. The introduction of generative AI into society shines a bright spotlight on these educators.

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U.S. Universities Are Building a New Semiconductor Workforce

Hacker News

The CHIPS and Science Act , aimed at kick-starting chip manufacturing in the United States, only began taking requests for pieces of its US $50 billion in March, but chipmakers were already gearing up beforehand. Memory and storage chipmaker Micron announced as much as $100 billion for a new plant in upstate New York. Peter Adams The U.S.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Data science is one of the highest-paid jobs of the 21st century. Domain experts of all fields use it.

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Career Transition to Tech and Supporting Women in Tech: TDI 37

Data Science 101

My career in education started with teaching middle school history (not for the faint of heart), included a stint teaching college economics, and I eventually landed in an administrative role at some charter schools. So far as actual teaching goes, I hold 2 secondary teaching credentials: Social Studies and English.