Smart Data Collective

DECEMBER 3, 2021

Are you looking to get a job in big data? The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. However, it is not easy to get a career in big data. You need to make sure that you can answer them accurately, articulately and succinctly to get a job as a data scientist.

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Pickl AI

MAY 16, 2023

Whether you are a Data Scientist or a college student, the LinkedIn platform can give you a plethora of options to explore and grow. In this blog, we will be uncovering the how you can optimize Data Scientist LinkedIn profile for Indian market , as well as approach a global audience.

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Dataconomy

MARCH 19, 2025

They are essential for processing large amounts of data efficiently, particularly in deep learning applications. By 2018, these powerful tools were made available for third-party use, marking a significant milestone in the accessibility of high-performance computing resources.

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Dataconomy

MARCH 20, 2025

Its innovative data flow architecture enables users to execute complex statistical analyses and create sophisticated models efficiently. Overview of TensorFlow TensorFlow emerged as a key tool for data scientists and statisticians, facilitating the implementation of machine learning models.

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Data Science 101

FEBRUARY 28, 2020

Since late 2018, Microsoft has been pushing more role-based certifications. Specifically, for the former MCSE – Data Management & Analytics certification, Microsoft now recommends the following role-based certifications. Microsoft has been working hard to keep the data science role-based certification up-to-date.

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Dataversity

MARCH 17, 2021

Data scientists are some of the most in-demand professionals on the market. A LinkedIn Workforce Report in 2018 found 151,000 unfilled data scientist jobs across the United States, with “acute” shortages in San Francisco, Los Angeles, and New York City. And the demand for data scientists […].

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Flipboard

MARCH 4, 2025

Editor’s note: Ryan Sloan , a data scientist based in Seattle, wrote this guest post after assessing the GeekWire 200, our list of top Pacific Northwest startups. I have a wide network of product managers and data scientists, and the vast majority of them are working on an AI integration or product of some sort.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

One of the more popular and useful of the transformer architectures, Bidirectional Encoder Representations from Transformers (BERT), is a language representation model that was introduced in 2018. The first GPT model was introduced in 2018 by OpenAI. About the authors Zack Peterson is a data scientist in AWS Professional Services.

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Mlearning.ai

APRIL 13, 2023

Photo by Robo Wunderkind on Unsplash In general , a data scientist should have a basic understanding of the following concepts related to kernels in machine learning: 1. Overall , understanding kernels and how to select and tune them is an important aspect of being a data scientist. What are kernels? Types of kernels.

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DataRobot Blog

APRIL 1, 2018

These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. With AI infused throughout, the industry is moving towards a place where data analytics is far less biased, and where citizen data scientists will have greater power and agility to accomplish more in less time.

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AWS Machine Learning Blog

DECEMBER 2, 2024

O Texts (2018). [3] Caner Turkmen is a Senior Applied Scientist at Amazon Web Services, where he works on research problems at the intersection of machine learning and forecasting. Before joining AWS, he worked in the management consulting industry as a data scientist, serving the financial services and telecommunications sectors.

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ODSC - Open Data Science

AUGUST 31, 2023

The data set only helps it if it’s well-trained and supervised. A Mongolian pharmaceutical company engaged in a pilot study in 2018 to detect fake drugs, an initiative with the potential to save hundreds of thousands of lives. Experts train AI specifically on how to fight counterfeit products.

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ODSC - Open Data Science

MARCH 22, 2023

Be sure to check out his session, “ Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI ,” there! Anybody who has worked on a real-world ML project knows how messy data can be. Our goal is to enable all developers to find and fix data issues as effectively as today’s best data scientists.

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Flipboard

FEBRUARY 2, 2023

The player tracking data contains the player’s position, direction, acceleration, and more (in x,y coordinates). There are around 3,000 and 4,000 plays from four NFL seasons (2018–2021) for punt and kickoff plays, respectively. The data distribution for punt and kickoff are different.

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Depends on the Definition

JANUARY 2, 0002

I’m a trained mathematician that now works as a data scientist and machine learning engineer. In 2018 I achieved the status of a kaggle master and still spend quite some time there. the author Hi, my name is Tobias.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. Adarsh Kyadige oversees the Research wing of the Sophos AI team, where he has been working since 2018 at the intersection of Machine Learning and Security.

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AWS Machine Learning Blog

APRIL 7, 2025

billion, representing a significant increase of approximately 223% over the 7-year period. ### Net Income Growth | Year | Net Income (in billion USD) | | | | | 2014 | 0.236 | | 2015 | 0.596 | | 2016 | 2.37 | | 2017 | 3.03 | | 2018 | 10.07 | | 2019 | 11.59 | | 2020 | 18.68 | | 2021 | 33.4 | | 2022 | 18.7 billion to a projected $574.78

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Towards AI

APRIL 7, 2024

Gilead Sciences provided a rich, real-world dataset that contains information about demographics, diagnosis and treatment options, and insurance provided to patients who were diagnosed with breast cancer from 2015–2018. The dataset originated from Health Verity, one of the largest healthcare data ecosystems in the US.

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Towards AI

DECEMBER 28, 2023

GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data science, I’ve witnessed significant transformations.

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Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. Subscribe to Alation's Blog.

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Dataconomy

SEPTEMBER 4, 2023

Data privacy and compliance : With data stored in the cloud, navigating complex data privacy regulations like GDPR and CCPA becomes essential. For instance, British Airways faced a fine of £183 million ($230 million) for a GDPR breach in 2018. Poor data integration can lead to inaccurate insights.

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AWS Machine Learning Blog

APRIL 3, 2023

The following figure shows RGB channels of consecutive satellite visits representing the vegetative and reproductive stages of the corn phenology cycle, with (right) and without (left) crop masks (CW 20, 26 and 33, 2018 Central Illinois). Clean up If you no longer want to use this solution, you can delete the resources it created.

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ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

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DataRobot Blog

MAY 25, 2022

From 2018 to 2020, the U.S. Using either the code-centric DataRobot Core or no-code Graphical User Interface (GUI), both data scientists and non-data scientists such as risk analysts, government experts, or first responders can build, compare, explain, and deploy their own models. is substantial and growing.

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IBM Journey to AI blog

AUGUST 1, 2023

Instead of spending time and effort on training a model from scratch, data scientists can use pretrained foundation models as starting points to create or customize generative AI models for a specific use case. An open-source model, Google created BERT in 2018.

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Towards AI

JULY 20, 2023

An additional 2018 study found that each SLR takes nearly 1,200 total hours per project. That’s great news for researchers who often work on SLRs because the traditional process is mind-numbingly slow: An analysis from 2017 found that SLRs take, on average, 67 weeks to produce. dollars apiece.

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DataRobot Blog

FEBRUARY 4, 2021

The same report estimates that in 2018 alone, AI contributed $2 trillion to the global GDP. While it has been fun for data scientists to test what machine learning can do, companies that invest huge resources into their AI solutions want to see results. “AI could contribute up to $15.7

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Iguazio

SEPTEMBER 20, 2023

To help with these efforts, we’ve compiled a list of the top NLP datasets for NLP projects that data scientists and data professionals can use for training their models. million articles from 20,000 news sources across a seven day period in 2017 and 2018. This list is a starting point for training your NLP models.

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Towards AI

APRIL 17, 2025

This period was characterized by digital transformation initiatives across industries, early adoption of AI technologies, and an increasing recognition of the value that data-driven decision making brings to organizations of all sizes. Figure 1: Global Data Market Size Growth (20182025). The market is projected to reach $178.5

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Alation

DECEMBER 15, 2022

June 2018: Dresner Advisory Services names Alation the #1 data catalog in its Data Catalog End-User Market Study for the 2nd time. August 2018: Constellation Research adds Alation to its Constellation Shortlist for Data Cataloging in Q3 2018 for third consecutive time. July 2019: Alation hits 100 customers.

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Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. To answer these questions we need to look at how data roles within the job market have evolved, and how academic programs have changed to meet new workforce demands. The data scientist.

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Snorkel AI

DECEMBER 27, 2023

Additionally, while the data and code needed to train some of the latest generation of models is still closed-source, open source variants of BERT abound. Enterprise data science teams can adapt these BERT transformer models quickly and cleanly. Data labeling BERT shines in semi-supervised data labeling.

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AWS Machine Learning Blog

AUGUST 16, 2023

The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018. Jeremy Anderson is a Director & Data Scientist at Travelers on the AI & Automation Accelerator team. The following are a few example RGB images and their labels.

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AWS Machine Learning Blog

APRIL 6, 2023

We calculated the WAPE value of a model by splitting the data into test and validation sets. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We next calculated the MAPE for the actual sales values.

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Defined.ai blog

JANUARY 30, 2023

In January, we publicly unveiled our SaaS platform , which helps data scientists collect, enrich, and structure data to train AI and ML models. We also have big plans to grow and qualify our crowd on Neevo and ensure data security through GDPR compliance and ISO certifications. It’s been a big year for us so far.

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Ocean Protocol

DECEMBER 30, 2022

By 2018, about 200 ICO projects were funded. I have nothing but optimism for this space because if you look back to 2014 or 2018 and where we are now–it’s an exponential curve, and we’re still early.” I want individuals to have the ability to take control of their own data and to monetize it in whatever way.

Data Scientist 52

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Snorkel AI

DECEMBER 27, 2023

Additionally, while the data and code needed to train some of the latest generation of models is still closed-source, open source variants of BERT abound. Enterprise data science teams can adapt these BERT transformer models quickly and cleanly. Data labeling BERT shines in semi-supervised data labeling.

Data Scientist 52

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