Analytics Vidhya

DECEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction In 2018, a powerful Transformer-based machine learning model, namely, BERT was developed by Jacob Devlin and his colleagues from Google for NLP applications.

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Business Over Broadway

MARCH 8, 2021

Results of a survey of data professionals show that about 1 out of 5 are women. Ways of improving gender diversity in the field of data science are offered. How does gender diversity look in the data science world? Annual Salaries of Data Professionals from the US. Click image to enlarge. Salary Differences.

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Data Science 101

APRIL 26, 2019

While it is not one of the popular programming languages for data science, The Go Programming Language (aka Golang) has surfaced for me a few times in the past few years as an option for data science. I decided to do some searching and find some conclusions about whether golang is a good choice for data science.

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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. Prepare for Machine Learning Interview Questions for Your Data Science Job. That could be a wise career move.

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datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

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Data Science 101

JUNE 3, 2019

Looking for a few academic data science papers to study? Here are a few I have found interesting. The are not all from the past 12 months, but I am including them anyhow.

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O'Reilly on Data

SEPTEMBER 12, 2018

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. People from across the data world are coming together in New York for the Strata Data Conference. The future of data warehousing. Von Neumann to deep learning: Data revolutionizing the future.

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Data Science 101

MARCH 6, 2019

University can be a great way to learn data science. Luckily, a few of them are willing to share data science, machine learning and deep learning materials online for everyone. However, many universities are very expensive, difficult to get admitted, or not geographically feasible.

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IBM Big Data Hub

MARCH 21, 2018

Think 2018 is in full swing. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. We’re inspired hearing from leaders across industries using analytics to transform their business. Here are some highlights from Wednesday at Think.

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The Data Visualisation Catalogue

MAY 13, 2024

Donna + DataViz PyeongChang 2018 Olympic Winter Games. Bump Chart — Data Science 42 / Dominik Koch Social Media Usage by Age. FLOWINGDATA / Nathan Yau The post Chart Snapshot: Bump Charts appeared first on The Data Visualisation Catalogue Blog. — Rody Zakovich Relative population history 1867-2020.

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Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

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Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

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Sanjeev Mohan

MARCH 18, 2018

Ladies and Gentlemen, we have a new buzz word for 2018: Operationalization ! I attended this year’s edition of Strata Data show last week in San Jose. Most companies now want to be known as Data Science companies. The competition is intensifying across the entire stack of Big Data.

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O'Reilly on Data

MARCH 19, 2020

Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. PyTorch looks like a contender: it posted triple-digit growth in usage share rates in both 2018 and 2019. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019.

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Business Over Broadway

JUNE 29, 2020

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages.

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Jen Stirrup

DECEMBER 14, 2018

I’d hoped for some downtime at this time of year, but I’ve picked up a crucial data science project which needs to be delivered over Christmas so there isn’t much downtime. How was 2018 for you? Current Status for 2018: I have partners who help me to deliver effectively. So I do talk but I also deliver.

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KDnuggets

DECEMBER 4, 2019

A Reality Check on #DataScience Hype; Is Data Science dying?; Indeed Fastest-Rising Tech Skills, 2018-2019; Cartoon: #Thanksgiving, Big Data, and Turkey #DataScience…. Also: WTF is a Tensor?!?;

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O'Reilly on Data

JANUARY 29, 2019

In 2018, we decided to run a follow-up survey to determine whether companies’ machine learning (ML) and AI initiatives are sustainable—the results of which are in our recently published report, “ Evolving Data Infrastructure.”. Data scientists and data engineers are in demand.

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Business Over Broadway

JANUARY 13, 2019

The practice of data science requires the use of analytics tools, technologies and programming languages to help data professionals extract insights and value from data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python, SQL and R are the most popular programming languages.

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O'Reilly on Data

FEBRUARY 4, 2019

Temporal data and time-series. Automation in data science and big data. At the 2018 Strata Data London, data privacy and GDPR were big topics. In fact, our 2018 conference happened the same week GDPR came online. Deep Learning. Text and Language processing and analysis.

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Dataiku

AUGUST 20, 2020

This blog post was originally published in October 2018 on Data From the Trenches. TL;DR : As data science evolves as a discipline, we think that it’s time to have a more systematic approach to feature engineering.

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Cloudera

MAY 22, 2018

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. Cloudera Data Science Workbench 1.4.x for the Oracle Big Data Appliance). let the user document, test, and share the model.

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CIO Business Intelligence

JANUARY 17, 2024

The latest moves in the process came in 2018 when the brand launched its full end-to-end service capability for packaged research through its digital platform, allowing clients to design, execute, and analyze their own research projects using Ipsos’ experience and resources. js and React.js.

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IBM Big Data Hub

FEBRUARY 20, 2018

Getting the most from a data science agenda requires more than data scientists. At Think, you’ll learn to view data science as a team sport, involving multiple roles and appropriate tools that help organizations tap into the benefits data science can bring wherever the business opportunity is.

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Business Over Broadway

SEPTEMBER 5, 2018

Their first challenge, the 2018 Call for Code Global Challenge , is a competition that asks developers to create solutions to reduce the deleterious impact of natural disasters on human lives, health, and wellbeing by improving the current state of natural disaster preparedness. Data is the Fuel; Data Science is the Engine.

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Data Science 101

FEBRUARY 28, 2020

Since late 2018, Microsoft has been pushing more role-based certifications. Microsoft has been working hard to keep the data science role-based certification up-to-date. The post Microsoft Certifications to retire in 2020 appeared first on Data Science 101. What to do now?

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Business Over Broadway

JANUARY 11, 2021

Kaggle conducted a worldwide survey in October 2020 of 20,036 data professionals ( 2020 Kaggle Machine Learning and Data Science Survey ). Their survey included a variety of questions about data science, machine learning, education and more. I will be exploring their survey data over the next couple of months.

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Rocket-Powered Data Science

AUGUST 1, 2018

These articles include: Top Data Trends for 2018 (including AI and Machine Learning, in two parts). In 2018, Data Will Put the Human Back into Human Experience (“The Year of Experience”, in two parts). Data in the Modern Space Age (“Jetsons 2.0”). Do Data Scientists Agree on Data Science?

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Domino Data Lab

MAY 15, 2019

This Domino Data Science Field Note covers Pete Skomoroch ’s recent Strata London talk. I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete Skomoroch, San Francisco, November 2018. It focuses on his ML product management insights and lessons learned.

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Data Virtualization

FEBRUARY 1, 2024

Reading Time: 3 minutes In June 2018 Martin Lewis, the U.K. appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. He explained how banks will now need to. The post Open Banking: Why Was Martin Lewis Wrong?

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CIO Business Intelligence

MAY 18, 2018

There are many factors and options to consider when evaluating BI tools because some are better suited to particular uses, while others require more extensive coding skills or a background in data science. To read this article in full, please click here

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Rocket-Powered Data Science

DECEMBER 16, 2018

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. Workshop on Meta-Learning (MetaLearn 2018).

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Domino Data Lab

JANUARY 20, 2019

These are the kind of questions Been Kim , Senior Research Scientist at Google Brain, poised in the MLConf 2018 talk , “Interpretability Beyond Feature Attribution: Testing with Concept Activation Vectors (TCAV)”. MLConf 2018. ICML 2018: TCAV-related Links. Introduction. Introducing Concept Activation Vectors (CAVs).

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CIO Business Intelligence

JUNE 27, 2022

In 2018, it put a certified Energy Management System (ISO 50001) in place for all of its directly operated data centers. The company’s energy management team sets annual energy efficiency targets for each facility and has reduced absolute energy consumption by 12.84% since 2018.

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Insight

AUGUST 29, 2019

Insight Boston began its journey in 2015, with the first and only fellowship program dedicated to a career in Health Data Science. In 2017, we expanded the location to include our Data Science program, and in early 2018, we welcomed our first Data Engineering Fellows.

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Data Virtualization

MARCH 30, 2023

Reading Time: 3 minutes In 2018, the European Parliament decided to enable unified digital access to EU administration resources with Regulation (EU) 2018/1724, calling for the creation of a Single Digital Gateway (SDG). The goal is to introduce digital offerings for public services.

Data Integration 52

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CIO Business Intelligence

APRIL 17, 2024

MuleSoft, acquired by Salesforce in 2018 for $5.7 Informatica, according to Park, offers a broader set of tools than Mulesoft, especially in the areas of data quality, data security, and a variety of master data management offerings. billion in 2022.

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