Towards AI

AUGUST 11, 2023

Tabular data has been around for decades and is one of the most common data types used in data analysis and machine learning. Traditionally, tabular data has been used for simply organizing and reporting information. It encompasses everything from CSV files and spreadsheets to relational databases.

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Towards AI

FEBRUARY 16, 2023

Data Analysis Project Guide — Use Pandas power to get valuable information from your data Photo by path digital on UnsplashThe Pandas library offers a wide range of capabilities for data science, including cleaning, visualization, and exploration. The data ranges from 2005 to 2015.

Data Analysis 52

Data Analysis Data Analysis Data Science Data Visualization 52

Smart Data Collective

FEBRUARY 1, 2023

Any sports player or fan should be aware that data analysis has become a significant part of sports. As individuals and teams seek to gain an advantage over the opposition, analyzing data and using the results to shape your performance is one of the best ways to get ahead. Billion by 2026.

Analytics 115

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AWS Machine Learning Blog

DECEMBER 4, 2024

This historical data will allow the function to analyze sales trends, product performance, and other relevant metrics over this seven-year period. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

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AWS Machine Learning Blog

APRIL 7, 2025

This not only speeds up content production but also allows human writers to focus on more creative and strategic tasks. - **Data Analysis and Summarization**: These models can quickly analyze large volumes of data, extract relevant information, and summarize findings in a readable format. billion to a projected $574.78

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Dataconomy

JULY 29, 2024

Rapid evolution of ChatGPT mainstreams AI A founding team of tech visionaries, including Sam Altman, Elon Musk, Greg Brockman, and others, led to the creation of OpenAI in 2015, which introduced ChatGPT, a GPT-3.5-powered powered chatbot, in November 2022.

Natural Language Processing 113

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Smart Data Collective

JANUARY 11, 2021

A 2015 study by the market research company IDC, which surveyed almost 600 manufacturing enterprises from 17 countries, discovered more than 90% of global companies are using cloud computing in some part of their operations. Let us take a closer look at how the cloud can advance manufacturing operations.

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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. But how can the “Internet of Things” contribute to energy efficiency?

Analytics 97

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AWS Machine Learning Blog

NOVEMBER 21, 2023

a proposal to establish an annual International Day of Light The final report of IYL 2015 was delivered to UNESCO in Paris (IDL) as an extension of the highly successful International Year of during a special meeting in October 2016. At this event, SPIE member Light and Light-based Technologies (IYL 2015).

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ODSC - Open Data Science

FEBRUARY 20, 2023

Rumelhart Prize in 2015, and the ACM/AAAI Allen Newell Award in 2009. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E.

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IBM Journey to AI blog

NOVEMBER 13, 2023

In 2015, Google donated Kubernetes as a seed technology to the Cloud Native Computing Foundation (CNCF) (link resides outside ibm.com), the open-source, vendor-neutral hub of cloud-native computing.

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

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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Pickl AI

JULY 3, 2023

It frequently requires the use of specialised software and tools to aid in the gathering and analysis of data from many different places such as spreadsheets, tables of information, and enterprise systems. billion in 2015 and reached around $26.50 billion in 2021. What Does a BI Developer Do?

Business Intelligence 52

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Hacker News

MARCH 19, 2025

The Allen Institute for AI introduced Semantic Scholar way back in 2015; it was among the earliest platforms to rank and predict research relevance with machine learning rather than raw citation counts. ” It should be able to access the data and run the analysis to tell you if it reproduces.

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Tableau

DECEMBER 1, 2021

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Tableau had its IPO at the NYSE with the ticker DATA in 2013. ML is effective today primarily for routine data work—humans will need to oversee ML modeling for the foreseeable future. .

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IBM Journey to AI blog

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

Tableau

DECEMBER 1, 2021

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Tableau had its IPO at the NYSE with the ticker DATA in 2013. ML is effective today primarily for routine data work—humans will need to oversee ML modeling for the foreseeable future. .

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Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

Exploratory Data Analysis 52

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phData

JANUARY 15, 2024

HITRUST: Meeting stringent standards for safeguarding healthcare data. ISO/IEC 27001, ISO 27017:2015, and ISO 27018:2019: Adhering to international standards for information security. These tools are supercharged assistants, offering advanced visualizations, intelligent alerts, and in-depth log data analysis.

Data Governance 52

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Pickl AI

OCTOBER 1, 2024

Founded in 2015, the company has developed some of the most advanced language models in existence, including GPT-3 and DALL-E. 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

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DrivenData Labs

FEBRUARY 3, 2025

Recently, I became interested in machine learning, so I was enrolled in the Yandex School of Data Analysis and Computer Science Center. His journey in AI began in 2015 with a master's in computer vision for biomedical image analysis. Machine learning is my passion and I often participate in competitions.

Machine Learning 130

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Flipboard

JANUARY 20, 2025

Anand, who began as an analyst in 2013, was promoted to assistant vice president in 2015. As an assistant vice president, he developed data science and machine learning models to price bonds more accurately. There are eight of what he calls spokes in data science. Continuing education is important, Anand says.

Data Science 142

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Dataconomy

MARCH 20, 2025

Released as open-source in 2015 under the Apache 2.0 For instance, STATS LLC employs it for sports data analysis, while agricultural innovations use TensorFlow to optimize cucumber sorting based on texture. Evolution from DistBelief TensorFlow originated from Google’s closed-source framework DistBelief. in early 2017.

Machine Learning 91

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