Data Science Dojo

FEBRUARY 13, 2025

Thats exactly what AI & Big Data Expo 2025 delivers! As a globally recognized event series, this expo brings together industry pioneers, AI experts, and business leaders to explore the latest breakthroughs in ML, big data analytics, enterprise AI, and cloud computing.

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Hacker News

NOVEMBER 27, 2024

We also make available social data covering follow, comment, repost, and quote interactions. content recommendation algorithms), we also release the full output of several popular algorithms available on the platform, along with their timestamped “like” interactions and time of bookmarking. IR0000013 – Avviso n.

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Dataconomy

OCTOBER 4, 2023

The online casino market has witnessed profound changes in the last few years, thanks to the increased accessibility of innovative technologies like big data and artificial intelligence. Conclusion Big data analytics and artificial intelligence have a limitless potential to improve the chances of casino players.

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Big Data Big Data Big Data Analytics Big Data Analytics 121

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. Key Areas of Study Key areas of study within computer science include: Algorithms : Procedures or formulas for solving problems. Data Structures : Ways to organize, manage, and store data efficiently.

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Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. Key Areas of Study Key areas of study within computer science include: Algorithms : Procedures or formulas for solving problems. Data Structures : Ways to organize, manage, and store data efficiently.

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Computer Science Computer Science Data Science Machine Learning 195

Smart Data Collective

APRIL 22, 2021

Brown University became the first college to use big data analytics in construction in 2015, and others soon followed. Portland State University and Oregon State University both saved $10 million on construction projects by using big data like this. Big data offers the insight to do so.

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Smart Data Collective

AUGUST 26, 2021

That’s where data analytics steps into the picture. Big Data Analytics & Weather Forecasting: Understanding the Connection. Big data analytics refers to a combination of technologies used to derive actionable insights from massive amounts of data. Real-Time Weather Insights.

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Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

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Dataconomy

APRIL 18, 2023

From powering the latest AI and machine learning algorithms to speeding up data processing in scientific research, parallel processing has revolutionized the way we compute and process data. Scientific computing Scientific computing involves complex simulations and calculations that require high-performance computing resources.

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Pickl AI

OCTOBER 29, 2024

Approach To address this issue, Pfizer implemented Machine Learning algorithms that analysed historical maintenance data to forecast future maintenance needs. By utilising predictive analytics, they could identify patterns and anticipate failures before they occurred.

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Smart Data Collective

SEPTEMBER 30, 2021

Leveraging big data helps by aggregating information about customer behavior and making predictions about it, which helps target promotions. The finance sector, specifically banks, is using big data analytics to understand transactions and payments and help customers.

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Big Data Big Data Big Data Analytics Big Data Analytics 139

AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

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AWS Algorithm Data Science Machine Learning 128

Smart Data Collective

DECEMBER 2, 2019

Travel booking is only one of the areas being heavily automated by machine learning algorithms. If there is one technology that will be at the core of the next big revolution for mankind, it will be big data. The post Predictive Tourism: The Merger Of Big Data In Travel Industry appeared first on SmartData Collective.

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Big Data Big Data Big Data Analytics Big Data Analytics 145

Smart Data Collective

NOVEMBER 28, 2019

If you want to get an edge on your competitors and make waves in your industry, you should be combining the wealth of information provided through big data analytics and the power of social media. Understand the Algorithm. The algorithm often snubs some of your content and promotes other pieces.

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AWS Machine Learning Blog

MARCH 3, 2023

Both methods deliver a fully trained ML model including column impact for tabular data, with Quick build focusing on speed and experimentation, while Standard build providing the highest levels of accuracy. His knowledge ranges from application architecture to big data, analytics, and machine learning.

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ML ML Machine Learning Machine Learning 96

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models.

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Smart Data Collective

SEPTEMBER 13, 2023

Welcome to 2023, the age where screens are more than mere displays; they’re interactive communication portals, awash with data and always hungry for more. To analyze and derive actionable insights from this sea of information, businesses deploy powerful analytics tools.

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Smart Data Collective

APRIL 1, 2021

From likes and dislikes to product preferences, CRMs hold substantial data sets that companies can use to flourish customer relationships. According to a study by Forrester, 44% of global B2C marketers utilize big data analytics to devise better relationship-driven marketing strategies.

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Smart Data Collective

JANUARY 15, 2021

Schools, colleges, and universities get benefits from the use of big data algorithms to process huge amounts of data, including information on students’ grades, attendance, and other records. Big data systems can help educational entities to interpret this information and enable informed decision making.

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Smart Data Collective

DECEMBER 1, 2022

Natural language processing uses various algorithms to read, decode, and comprehend human speech. The two most common types of algorithms are deep learning and machine translation. Natural Language Processing (NLP) algorithm techniques require grammar rules to recognize and obtain data from every sentence.

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Smart Data Collective

OCTOBER 20, 2020

Big data has led to some major breakthroughs for businesses all over the world. Last year, global organizations spent $180 billion on big data analytics. However, the benefits of big data can only be realized if data sets are properly organized.

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Data Science Connect

JULY 25, 2023

These solutions encompass predictive maintenance, fraud detection, energy management, and more, leveraging AI and big data analytics to provide actionable insights and optimize operations. Responsible AI Deployment In the midst of AI hype, data scientists must also emphasize responsible AI deployment.

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Smart Data Collective

JANUARY 14, 2021

The best stock analysis software relies heavily on new machine learning algorithms. A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. Predictive analytics algorithms can look at various trends surrounding the business.

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Smart Data Collective

OCTOBER 16, 2023

The company employs both artificial intelligence and machine learning algorithms to encourage customers to continue connecting with the service. Product creation Extensive data collection and analysis about client wants can also be used to forecast future trends. Spotify is a good example.

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AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

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Algorithm Data Scientist Machine Learning Machine Learning 89

Pickl AI

JUNE 4, 2024

Machine Learning This involves training algorithms on large datasets to learn from data without explicit programming. Big Data Analytics This involves analyzing massive datasets that are too large and complex for traditional data analysis methods.

Data Science 52

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Heartbeat

OCTOBER 23, 2023

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

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Smart Data Collective

SEPTEMBER 2, 2021

Even the mood of the individual extracted from a social network analysis,” Einat Kahana, director of analytics at Viaccess-Orca, a provider of OTT and personalized TV solutions, has previously stated. So what is the point of all this data? How has it become the biggest disruptor in video marketing and television industries?

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Although the direct environmental impact might not be obvious, sub-optimized code amplifies the carbon footprint of modern applications through factors like heightened energy consumption, prolonged hardware usage, and outdated algorithms. His knowledge ranges from application architecture to big data, analytics, and machine learning.

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Data Science Connect

JULY 25, 2023

Leveraging Data Insights for Risk Identification Data scientists play a critical role in the risk identification process by mining and analyzing vast datasets to uncover potential risks and patterns. This data-driven approach empowers businesses to proactively address risks before they escalate.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. His research interest is in systems, high-performance computing, and big data analytics.

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Dataconomy

NOVEMBER 15, 2018

It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The post Why Outsourcing Social Media Data Access is a Good Thing appeared first on Dataconomy. Mike Madarasz explains.

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AWS Machine Learning Blog

DECEMBER 4, 2023

His focus was building machine learning algorithms to simulate nervous network anomalies. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir.

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Smart Data Collective

NOVEMBER 20, 2022

The website used state parameters to continuously readjust algorithms and suggest vaccine availability to only those who met their state’s requirements. This wouldn’t have been possible without major advances in big data technology. 3D Printing Helped Produce Nasal Swabbing Kits.

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Dataconomy

JULY 4, 2023

Machine Learning (ML): Enabling intelligent decision-making Machine Learning is a technology that empowers computers to learn from data and improve their performance over time without explicit programming. ML algorithms enable systems to identify patterns, make predictions, and take autonomous actions.

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Towards AI

FEBRUARY 21, 2023

Image by the Author: AI business use cases Defining Artificial Intelligence Artificial Intelligence (AI) is a term used to describe the development of robust computer systems that can think and react like a human, possessing the ability to learn, analyze, adapt and make decisions based on the available data.

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Pickl AI

AUGUST 9, 2024

Additionally, students should grasp the significance of Big Data in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of Big Data analytics on business strategies and decision-making processes is also vital.

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