Smart Data Collective

SEPTEMBER 25, 2023

Data science has been one of the biggest gamechangers affecting countless industries all around the world. More and more companies are hiring skilled data scientists to help them address some of their most pressing challenges. The BLS reports that the average data scientist earns $115,240 a year.

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Smart Data Collective

JUNE 4, 2021

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. These data models predict outcomes of new data. Where to start?

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Data Science Dojo

JUNE 5, 2023

That is the perfect description of the Thought Leaders Unplugged series hosted by Data Science Dojo. This is not your average lecture or mundane online seminar. The series is an initiative by the Data Science Dojo team which believes in investing in their employees’ personal and professional growth.

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NYU Center for Data Science

SEPTEMBER 6, 2024

CDS Student Groups Get involved and connect with your peers through our vibrant student community: Data Science Club Women in Data Science (WiDS) Plus, learn more about the CDS Graduate Student Community-Building Group and the Student Inclusion and Belonging Advisory Board at our Student Groups page.

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NYU Center for Data Science

AUGUST 24, 2023

Some people want both, and those people, if attending NYU, join the Math and Data research group at the Center for Data Science (CDS) , which, thanks to the ever-broader applicability of AI, is now working on some of the most important problems currently facing humanity.

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NYU Center for Data Science

SEPTEMBER 28, 2023

The Genesis of ML² ML², a subset of the larger CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics), has its roots in the collective vision of CDS Associate Professor of Linguistics and Data Science Sam Bowman and CDS Associate Professor of Computer Science and Data Science Kyunghyun Cho.

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ODSC - Open Data Science

OCTOBER 13, 2023

If you’re interested in learning what is on the horizon for data science, GitHub is an important platform to become familiar with. The agents within ChatDev collaborate by participating in specialized functional seminars, including tasks such as designing, coding, testing, and documenting. Interested in attending an ODSC event?

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Towards AI

SEPTEMBER 11, 2023

Photo by Ross Sneddon on Unsplash In my attempt to grow my expertise as a business, thought, and analytical leader, I tried to read up, attend seminars, and strike up conversations with similar leaders in the field. Upgrade to access all of Medium.

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Data Science 101

SEPTEMBER 20, 2023

Quantum Computing Books Quantum Computing Progress and Prospects – free to read online Introduction to Classical and Quantum Computing – free PDF download Quantum Computing Courses Quantum Computing Foundations – from Microsoft Learn, focuses on Azure Quantum and Q# IBM Quantum Learning Quantum 101 Quantum Computation at CalTech – (..)

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NYU Center for Data Science

JULY 13, 2023

In fall 2022, Berfin presented a poster at the Spin Glass Workshop , a seminar which brings together researchers interested in spin glasses and related topics. In summer 2022, she gave a talk at a MetaAI group seminar on out-of-distribution generalization.

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Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

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ODSC - Open Data Science

OCTOBER 26, 2023

The agents within ChatDev collaborate by participating in specialized functional seminars, including tasks such as designing, coding, testing, and documenting. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

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Women in Big Data

JULY 4, 2024

Emiko Sano is a Data Scientist at V2Solutions. She worked as a lab researcher during which she found her interest in data science. She has a PhD in Microbiology and improved her data science skills through a bootcamp and fellowships. Emiko has been a scientist throughout her career.

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Data Science 101

NOVEMBER 8, 2023

They held networking events, online seminars with companies who’d hired from their program, and more. What type of data science work did you do? I was definitely more in the analytics space than I ever was the data science space specifically. I did mine through UCSD Extension.

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learn data science

APRIL 22, 2021

I have presented a seminar to introduce the new features and enhancements the other day. was originally published in learn data science on Medium, where people are continuing the conversation by highlighting and responding to this story. Project Search, Time Series Clustering, Multiple Excel / CSV Files Import, & more!

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Pickl AI

MARCH 19, 2023

For example, if employees do not understand the significance of data storage, they may not keep a backup of sensitive data. Hence, it becomes significant for organizations to ensure that Big Data workshops and seminars. This training includes awareness about Big Data, its significance and how to handle the information.

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Pickl AI

SEPTEMBER 4, 2023

Networking: Attend conferences, seminars, and workshops related to statistics and data analysis. Job Search: Start your job search by looking for entry-level positions in fields such as data analysis, market research, or government agencies. This can be a valuable asset when applying for jobs or graduate programs.

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Smart Data Collective

MARCH 12, 2020

The National Fire Protection Assocation has actually hosted a seminar on the role of big data in their profession. One of the most obvious uses of data analytics and fire safety is predicting future fires. Predictive analytics is one of the main uses of big data. Are you still skeptical? Predicting Future Fires.

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Heartbeat

MARCH 21, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free! If your output variable is one-hot encoded you’d use categorical cross entropy, if your output variable is integers and they’re class indices, you’d use the sparse function.

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Heartbeat

NOVEMBER 23, 2023

He read books, attended seminars, and talked to experts in the field. He searched far and wide for the best and brightest minds in AI and eventually assembled a team of engineers, data scientists, and business strategists. He read books, attended seminars, and talked to experts in the field.

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Heartbeat

MAY 11, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! Both paths interconnect via cross-stage partial connections, which enables gradient flow. Innovation and academia go hand-in-hand. YOLO-NAS Project Template ↪️ ?️YOLO-NAS

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Heartbeat

JULY 11, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! By harnessing the power of NLP, companies can enhance their marketing strategies and improve customer experiences. Innovation and academia go hand-in-hand.

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NYU Center for Data Science

MARCH 1, 2023

Throughout the year, CDS community members have opportunities to attend talks by researchers in the field of data science. Organized by professors, faculty fellows, and PhD students, the speaker seminar series offers insight into topics from natural language processing to politics.

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Data Science 101

JANUARY 19, 2021

Alright, so here is, here’s what I’m working on setting up I I was a Blogger in data science for years. Write my workshops by seminars anytime I speak. So you, what is your goal? What do you want to be able to say at the end of 2021? Helping other people in the field of technology become content creators.

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The MLOps Blog

MARCH 21, 2023

By storing all model-training-related artifacts, your data scientists will be able to run experiments and update models iteratively. Versioning Your data science team will benefit from using good MLOps practices to keep track of versioning, particularly when conducting experiments during the development stage.

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