Smart Data Collective

SEPTEMBER 25, 2019

Big data has been billed as being the future of business for quite some time. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The impact of big data is felt across all sectors of the economy. However, the future is now. The market for Hadoop jobs increased 58% in that timeframe.

Big Data 101

Big Data Big Data Data Scientist Data Science 101

Smart Data Collective

JULY 2, 2019

Kaiserwetter, a German data analytics firm that specializes in managing wind farms, has developed a pioneering system that combines several digital technologies that are making headway. Big data is going to be essential to help them meet those demands. Most forecasts indicate that it is going to increase.

Analytics 96

Analytics Analytics Big Data Big Data 96

IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

Machine Learning 129

Machine Learning Machine Learning ML ML 129

Tableau

MARCH 3, 2023

While not knee-deep in data and Tableau, or trying to learn how real estate and investment management work, she tries to push user-centered design, business analysis, and project management processes on (sometimes) unsuspecting colleagues. with data analysis.

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Tableau Data Analysis Data Analysis Analytics 97

Pickl AI

JULY 12, 2023

It has enabled in raising questions on boundaries between perception and reality and encourages contemplation of the role of data, information and technology in shaping human lives. The movie explores themes of data analysis, machine learning, and human-computer interaction.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Data Analysis 52

Tableau

MARCH 3, 2023

While not knee-deep in data and Tableau, or trying to learn how real estate and investment management work, she tries to push user-centered design, business analysis, and project management processes on (sometimes) unsuspecting colleagues. with data analysis.

Tableau 87

Tableau Data Analysis Data Analysis Analytics 87

Ocean Protocol

MARCH 11, 2024

METAR, Miami International Airport (KMIA) on March 9, 2024, at 15:00 UTC In the recently concluded data challenge hosted on Desights.ai , participants used exploratory data analysis (EDA) and advanced artificial intelligence (AI) techniques to enhance aviation weather forecasting accuracy. C in 2014 to 26.24°C

Exploratory Data Analysis 52

Exploratory Data Analysis Machine Learning Machine Learning EDA 52

Ocean Protocol

FEBRUARY 1, 2024

We will only use 1 airport for this data challenge, though METAR is a standard score updated at each airport. The data we use for this challenge is Miami's historical METAR logs from 2014–2023. Their primary objective is to develop advanced models that accurately predict future weather conditions at KMIA (Miami Airport).

Exploratory Data Analysis 52

Exploratory Data Analysis Data Science Cross Validation Machine Learning 52

Tableau

DECEMBER 1, 2021

The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. . The Data Tab was added in v8.2 June 2014) to give people who understand joins a better experience than a dialog.

Tableau 145

Tableau ML ML Database 145

Pickl AI

MAY 16, 2023

Wrapping it up !!!

Data Scientist 52

Data Scientist Data Science SQL Python 52

Mlearning.ai

FEBRUARY 28, 2023

As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. In this analysis, I: provided summary statistics and exploratory data analysis of the data.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

IBM Journey to AI blog

AUGUST 7, 2023

AI empowers real-time site performance monitoring and forecasting by automating data analysis, providing timely alerts and insights, and enabling predictive analytics. AI models can be designed to detect anomalies in real-time site performance data. 2014 Bentley C, Cressman S, van der Hoek K, Arts K, Dancey J, Peacock S.

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AI AI Algorithm Artificial Intelligence 70

ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. Data Engineering A job role in its own right, this involves managing the modern data stack and structuring data and workflow pipelines — crucial for preparing data for use in training and running AI models.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Tableau

DECEMBER 1, 2021

The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. . The Data Tab was added in v8.2 June 2014) to give people who understand joins a better experience than a dialog.

Tableau 98

Tableau ML ML Database 98

Mlearning.ai

FEBRUARY 15, 2023

Depending on the data they are provided, different classifiers may perform better or worse (eg. Uysal and Gunal, 2014). However, there is data where a correlation between (vectorised) texts and classes would be expected, but the assumption is not satisfied, and the classifiers perform poorly. Dönicke, T.,

Cross Validation 52

Cross Validation Decision Trees Algorithm Natural Language Processing 52

Heartbeat

OCTOBER 13, 2023

This article explores the rich landscape of time series analysis in machine learning, focusing on how Comet, a powerful machine learning experiment management platform, can enhance the process. What is Time Series Analysis? In essence, it deals with sequences of data ordered chronologically.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

AssemblyAI

SEPTEMBER 12, 2023

In 2014, Baidu published the paper, Deep Speech: Scaling up end-to-end speech recognition. A qualitative data analysis platform added AI transcription to build a suite of AI-powered tools and features that resulted in 60% less time analyzing research data for its customers.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

DagsHub

OCTOBER 23, 2024

BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.8 Our model achieves 28.4 after training for 3.5

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Pickl AI

OCTOBER 1, 2024

Founded in 2010, DeepMind was acquired by Google in 2014 and has since become one of the most respected AI research companies in the world. Intelligent automation Generative AI will enable businesses to automate a wide range of tasks and processes, from customer service and support to data analysis and decision-making.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

The MLOps Blog

OCTOBER 20, 2023

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. When data science was sexy , notebooks weren’t a thing yet.

SQL 52

SQL Database Data Scientist Python 52

Dataconomy

APRIL 25, 2025

Benefits of using dplyr Using dplyr offers several advantages: Saves time in data preparation tasks. Historical background of dplyr Dplyr was created in 2014 by Hadley Wickham as part of the tidyverse collection, aimed at making data science more accessible. Improves comprehension through a user-friendly syntax.

Data Analysis 91

Data Analysis Data Analysis Data Preparation Data Scientist 91

Pickl AI

JANUARY 26, 2025

Introduced by Ian Goodfellow in 2014, GANs are designed to generate realistic data, such as images, videos, and audio, that mimic real-world datasets. Closing Words Deep Learning models have revolutionised data analysis, offering unparalleled efficiency in solving complex problems.

Deep Learning 52

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