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Tag: science

The time is now for the synthetic data revolution

We’re going into the final sprint of the year. Time will fly by as we get stuck into the festive season, and before we know it, we’ll have a brand new year stretching out ahead of us. Not that I like to wish time away, but I can’t wait for 2022. That’s because it looks set to be a huge year for synthetic data. Forbes picked it in a list of the 5 biggest data science trends for 2022, while Gartner put synthetic data at number one in its top strategic predictions for 2022 and beyond. If we’re talking about the passing of time, going from founding Mindtech four years ago to the…

ACR urges radiologists to take charge of artificial intelligence development, protect patient safety

“Radiologists must prepare to serve as the imaging AI experts, gatekeepers of which AI technologies are purchased by their practices, and monitors of AI performance in patient care,” Keith Dreyer, DO, PhD, the Data Science Institute’s chief science officer, said in a statement. “Not doing so is to risk patient safety and algorithm effectiveness.”

ACR said the first federated learning experiment will kick off in early 2022, hoping to produce a “highly accurate” COVID-19 classification model through industry collaboration. Participants will gain access to de-identified…

Fashion design education matters for the metaverse

In 1964, Arthur C Clarke, science writer and futurist, predicted
“the invention to end all inventions”. He called “the replicator”, a
duplicating machine to create copies of anything at any time:
“Confronted with such a device, society will probably sink into a kind
of gluttonous barbarism because everybody would want unlimited
quantities of everything since nothing would cost anything”, warned
Clarke.

Sixty years on, replicators are the norm. In the physical realm, we
have 3D printing machines recreating items from digital files, and
fast fashion making cheap copies on a large scale….

Top 10 YouTube Channels Offering Free Data Science Learning

by Aratrika Dutta
August 2, 2021
Check out the top 10 YouTube channels for free data science learning.Data has become an important part of everybody’s life. Without data we are nothing. Data mining for digging insights has marked the demand to be able to use data for business strategies. Therefore, the field of data science is growing with increasing demand. Data science is not limited to only consumer goods or tech or healthcare. There is a high demand to optimize business processes using data science from banking and transport to manufacturing. Because of the increasing demand,…

A ‘Glut’ of Innovation Spotted in Data Science and ML Platforms

(Blue Planet Studio/Shutterstock)

These are heady days in data science and machine learning (DSML) according to Gartner, which identified a “glut” of innovation occurring in the market for DSML platforms. From established companies chasing AutoML or model governance to startups focusing on MLops or explainable AI, a plethora of vendors are simultaneously moving in all directions with their products as they seek to differentiate themselves amid a very diverse audience.
“The DSML market is simultaneously more vibrant and messier than ever,” a gaggle of Gartner analysts led by…

Amazon brings RStudio to Amazon SageMaker for machine learning • DEVCLASS

Amazon has added the RStudio development environment for the R language to its SageMaker machine learning service, claiming it as the first integrated development environment (IDE) in the cloud for data scientists working on machine learning with R.

The open source R language has long been a tool of choice for statisticians, quantitative analysts, data scientists, and machine learning engineers, according to Amazon. RStudio is one of the most popular development environments among R developers for machine learning and data science projects.

Now, in partnership…

Becoming A Digital-First Organization At Verizon

With the increasing demand for data science approaches and cognitive technologies across all industries, organizations are learning how to successfully implement and manage newer, more intelligent tools and systems. What are the challenges that enterprises encounter when adopting AI and ML models for their organizations, and how can teams work to overcome these obstacles?

Anil Kumar, Executive Director – Head of AI Industrialization at Verizon
Anil Kumar, Executive Director – Head of AI Industrialization at Verizon

At an upcoming Data for AI event, Anil Kumar, Executive…

A look at industry demand for data scientists – TechTalks

Data science is a popular and lucrative profession, and despite pandemic-era slowdowns, it’s still one of the sexiest jobs around. As businesses seek to employ the power of data to increasingly digital commerce, companies across industries are on the lookout for data scientists and vice versa.

These data-powered professionals have a lot to offer. From manufacturing to hospitality, data scientists can bring invaluable insights that transform the ways we conduct business, leading to greater solutions and cost-reduction opportunities. While career growth may shift by industry and…

The Difference Between Data Science & Artificial Intelligence

by Apoorva Komarraju
July 30, 2021
Data science and artificial intelligence are not the same.Data science and artificial intelligence are two technologies that are transforming the world. While artificial intelligence powers data science operations, data science is not completely dependent on AI.Data Science is leading the fourth industrial revolution. This era saw massive amounts of data being generated by people on a daily basis and data science provides a way for businesses to capitalize on this available data. Our society now has become so data-driven that every major decision is…

10 Frequently Asked Coding Questions in Data Science Interviews

by Sayantani Sanyal
October 29, 2021
Data science is an emerging field in the tech world. While interviewing for the position of a data scientist, the industry hiring experts frequently ask questions related to SQL, Python, computer science fundamentals, and also from other related domains. Hiring managers ask coding questions because data science is a highly technical field that requires collecting, cleaning, and processing data to ensure that useful insights can be drawn out of it. Coding skills can help data scientists collaborate with different stakeholders and projects and work…

“Herd Stupidity”: The Manufactured Covid Crisis, the Gene-based mRNA “Vaccine” and “The Pinnacles of…

All Global Research articles can be read in 51 languages by activating the “Translate Website” drop down menu on the top banner of our home page (Desktop version). 
Visit and follow us on Instagram at @crg_globalresearch.

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The pandemic is contrived for sinister motives. Everything connected with Covid is Junk Science foisted on a fearful and gullible world. The virus, the lock downs, the masks, the abuse of PCR for diagnosis, the temperature checks at commercial entrances, the ubiquitous little bottles of alcohol, the relentless propaganda and most especially the…

Data Science Career Stories You Loved In 2021

We covered some interesting career stories that stood out in 2021 and sparked inspiration. We regularly cover stories of data scientists and professionals who made a career in data science, despite odds or who showcased a non-conventional path to be where they are right now.
Here are the Top Data Science Career Stories that inspired others through their journey in 2021. Register for this Session>>
From UPSC to Data Science: Shruti Pandey
Shruti Pandey is a former UPSC aspirant and currently a data scientist. Her journey came as a ray of hope for those who could not make the cut in UPSC….

World-renowned data science experts to discuss the future of digital fairness

UNIVERSITY PARK, Pa. — The ever-growing power of data requires an ever-deepening responsibility on the part of data scientists to use that power fairly and equitably. Recognizing this, Penn State’s Institute for Computational and Data Sciences (ICDS) will host a symposium this fall aimed at fostering digital fairness.
The two-day ICDS Fall Symposium will be held Oct. 6 and 7 to bring together researchers from around the U.S. to discuss data, equity, reproducibility and other topics related to fairness in data science. The speakers and panelists will lead discussions on the ownership of…

Data Science and Machine Learning’s Potential for Fraud Detection

The consumer marketplace has been a hot spot for fraud lately. This is due in part to the rise in more digitally focused transactions amid the pandemic and the evolving way we communicate with our banks. We’re seeing a rise in fraud risk surrounding applications that are newer to the market, like digital wallets, buy now pay later (BNPL), peer-to-peer (P2P) payments as well as those that have been in the market for a while such as bank transfers and card not present (CNP) payment methods. Consumers are attracted to these methods because they’re convenient, meaning…

Want to develop ethical AI? Then we need more African voices

Artificial intelligence (AI) was once the stuff of science fiction. But it’s becoming widespread. It is used in mobile phone technology and motor vehicles. It powers tools for agriculture and healthcare.But concerns have emerged about the accountability of AI and related technologies like machine learning. In December 2020 a computer scientist, Timnit Gebru, was fired from Google’s Ethical AI team. She had previously raised the alarm about the social effects of bias in AI technologies. For instance, in a 2018 paper Gebru and another researcher, Joy Buolamwini, had shown how facial…

Biden ‘Forgets’ To Close The Southern Border Against ‘Omicron’ Variant

Authored by Monica Showalter via AmericanThinker.com,Much has been made of the news that Joe Biden has shut the door to eight countries over the new ‘omicron’ COVID variant. AT deputy editor Andrea Widburg has an excellent piece today on that here.Some of the implications, of course, are vaguely comical. Biden’s White House medical advisor, Dr. Anthony Fauci, the so-called “expert” and voice of “science” he touted was last seen recommending against the closure of air travel.Joe, of course, did it anyway, signaling that Fauci’s expertise to him is all about what’s politically…

Databricks unifies data science and engineering with a federated data mesh

Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022. Learn more

During its online Data + AI Summit conference, Databricks today unveiled Databricks Machine Learning, a platform that lets data science teams build AI models based on the AutoML framework.
The offering follows yesterday’s launch of an open source Delta Sharing project that lets organizations employ a protocol to securely share data across disparate data warehouses and data lakes in real time.
The Delta Sharing project has been…

Why machine learning, not artificial intelligence, is the right way forward for data science

Commentary: We like to imagine an AI-driven future, but it’s machine learning that will actually help us to progress, argues expert Michael I. Jordan.

Image: iStock/Igor Kutyaev
We bandy about the term “artificial intelligence,” evoking ideas of creative machines anticipating our every whim, though the reality is more banal: “For the foreseeable future, computers will not be able to match humans in their ability to reason abstractly about…

Top 10 Ways in Which AI is Transforming the FoodTech Industry

The food technology industry is one of the most significant businesses among the various manufacturing industries in the world. The implementation of artificial intelligence, machine learning, and deep learning has automated several complex issues that the industry faced primarily. Artificial intelligence along with data science has improved the quality of restaurants, cafes, online food delivery systems, and food outlets, by increasing production and utilizing different fitting algorithms to boost sales. Here, we will go through some of the top artificial intelligence innovations and how…

To Learn AI, Should You Know Data Science?

Data Science, Machine Learning, and Artificial Intelligence are the significant drivers of the fourth industrial revolution. Since data powers all these fields, they are often used interchangeably. However, despite the similarities, Data Science, ML and AI are different from each other.
Data Science is a multidisciplinary field with a focus on the use of data to derive insights. A good data scientist must possess a wide range of skills, including programming, mathematics, and domain knowledge of the desired field of application. To analyse data, make inferences or forecast predictions,…

How to succeed around data science projects

Denise Gosnell, chief data officer at DataStax, discussed how preparation, process and open source can help to ensure success from data science projects It’s important to set out how your projects will support overall business goals.
For businesses, investment in machine learning, artificial intelligence (AI) and data science is growing. There is huge potential around data science to create new insights and services for internal and external customers. However, this investment can be wasted if data science projects don’t…

Data Analytics vs Data Science: What’s the Difference?

In today’s big data world, insights produce actionable results. But with big data comes the need for a greater understanding of the tools required to glean as much information as possible.
People who perform functions such as data analytics and data science help companies organize massive amounts of data and develop results-driven actions for the next steps. To help you optimize your data, let’s break down both categories, examining their differences and discovering how each provides value to business.
What Is Data Analytics?
Data analytics focuses on viewing the historical data….

Python is devouring data science

Back in 2015 I wrote that “Python’s data science training wheels increasingly lead to the R language,” suggesting that the more serious companies get about data science, the more they’ll want the heft of R. Boy, that perspective hasn’t aged well.In fact, as a recent Terence Shin analysis of more than 15,000 data scientist job postings suggests, Python adoption keeps growing even as the more specialist R language is in decline. This isn’t to suggest that data scientists will drop R anytime soon. More likely, we’ll continue to see both Python and R…

11 Data Science Programming Languages to Know in 2021

In Drew Conway’s famous Venn diagram of data science skills, programming chops might be the most elusive target. New libraries and packages are constantly emerging — and sometimes even entire new programming languages enter the stage.

True, Python continues to dominate. But despite its widespread footing and ease of use, it hardly holds a monopoly in data science. And the alternatives extend well beyond R, despite what partisans in the tired Python vs. R debate might have you think.

Which Programming Language Is Best for Data Science?Python is extremely popular in data science thanks…

Excel, Python, and the future of data science

The world of data science is awash in open source: PyTorch, TensorFlow, Python, R, and much more. But the most widely used tool in data science isn’t open source, and it’s usually not even considered a data science tool at all.It’s Excel, and it’s running on your laptop.Excel is “the most successful programming system in the history of homo sapiens,” says Anaconda CEO Peter Wang in an interview “because regular ‘muggles’ can take this tool…put their data in it…ask their questions…[and] model things.” In short, it’s easy to be…