AI News

SEPTEMBER 30, 2024

A mathematician by training and a skilled practitioner in many aspects of data analysis, we began our interview by having him describe Wolfram’s work in an elevator pitch format. There were different algorithms that have been developed over years, some of them hundreds of years ago, some of them only tens of years ago.

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Data Science Big Data Artificial Intelligence Artificial Intelligence 229

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Data Science Machine Learning Big Data Data Mining 175

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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IBM Journey to AI blog

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

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Pickl AI

SEPTEMBER 13, 2024

Summary: This blog examines the role of AI and Big Data Analytics in managing pandemics. It covers early detection, data-driven decision-making, healthcare responses, public health communication, and case studies from COVID-19, Ebola, and Zika outbreaks, highlighting emerging technologies and ethical considerations.

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Analytics Vidhya

MAY 17, 2023

By leveraging a machine learning algorithm and an importance-ranking metric, RFE evaluates each feature’s impact […] The post Recursive Feature Elimination: Working, Advantages & Examples appeared first on Analytics Vidhya.

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Pickl AI

SEPTEMBER 12, 2024

Summary: This blog explores how Airbnb utilises Big Data and Machine Learning to provide world-class service. It covers data collection and analysis, enhancing user experience, improving safety, real-world applications, challenges, and future trends.

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Pickl AI

OCTOBER 25, 2023

How Big Data and AI Work Together: Synergies & Benefits: The growing landscape of technology has transformed the way we live our lives. of companies say they’re investing in Big Data and AI. Although we talk about AI and Big Data at the same length, there is an underlying difference between the two.

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Marktechpost

JULY 7, 2024

These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. You’ll learn to use training data to discover predictive relationships, train algorithms, and avoid overtraining with techniques like cross-validation.

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Artificial Intelligence Artificial Intelligence Machine Learning Data Science 121

Unite.AI

AUGUST 21, 2024

Some key use cases include: Smart Crop Management: In agriculture, smart crop management is a growing field that integrates AI, IoT, and big data to enhance tasks like plant growth monitoring, disease detection, yield monitoring, and harvesting.

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Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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Pickl AI

DECEMBER 9, 2024

Summary: This article provides a comprehensive guide on Big Data interview questions, covering beginner to advanced topics. Introduction Big Data continues transforming industries, making it a vital asset in 2025. The global Big Data Analytics market, valued at $307.51 What is Big Data?

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Pickl AI

SEPTEMBER 18, 2024

Summary: Netflix’s sophisticated Big Data infrastructure powers its content recommendation engine, personalization, and data-driven decision-making. As a pioneer in the streaming industry, Netflix utilises advanced data analytics to enhance user experience, optimise operations, and drive strategic decisions.

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Pickl AI

AUGUST 24, 2023

What is Big Data? Gartner defines- “ Big Data are high volume, high velocity or high-variety information assets that require new forms of processing to enable enhanced decision-making, insight discovery and process optimisation.” Personalization and Customization: Big Data enables personalization at scale.

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Flipboard

JUNE 3, 2023

In health studies, all of that data is multiplied by hundreds of patients. It’s no wonder, then, that as AI data processing techniques grow increasingly sophisticated, doctors are treating health as an AI and Big Data problem. Singer, a study co-author at Northwestern University.

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Marktechpost

JULY 3, 2024

Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications. Netflix: Evolving Big Data Job Remediation Netflix has shifted from traditional rule-based classifiers to machine learning-powered auto-remediation systems for handling failed big data jobs.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Marktechpost

APRIL 7, 2024

Each vector represents a data point in a multi-dimensional space, encapsulating the complexity of information ranging from simple numerical datasets to high-dimensional data like images, videos, and natural language text. Why Vector Databases?

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IBM Journey to AI blog

JUNE 14, 2023

Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently. Ensure that sensitive data remains within their own network, improving security and compliance.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. This will lead to algorithm development for any machine or deep learning processes.

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Towards AI

APRIL 19, 2024

The Use of LLMs: An Attractive Solution for Data Analysis Not only can LLMs deliver data analysis in a user-friendly and conversational format “via the most universal interface: Natural Language,” as Satya Nadella, the CEO of Microsoft, puts it, but also they can adapt and tailor their responses to immediate context and user needs.

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Pickl AI

DECEMBER 14, 2023

From predicting patient outcomes to optimizing inventory management, these techniques empower decision-makers to navigate data landscapes confidently, fostering informed and strategic decision-making. It is a mathematical framework that aims to capture the underlying patterns, trends, and structures present in the data.

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Marktechpost

JULY 30, 2024

However, the application of LLMs to real-world big data presents significant challenges, primarily due to the enormous costs involved. BRIDGE processes table data using TNNs and utilizes “foreign keys” in relational tables to establish relationships between table samples, which are then analyzed using GNNs.

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Aiiot Talk

MARCH 27, 2024

This transformation has enabled companies to analyze vast data sets efficiently and automate complex processes. In business, you need to learn how AI is changing the game for cloud computing and data analysis, as it plays a critical role in staying ahead in an increasingly data-driven world.

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O'Reilly Media

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

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IBM Journey to AI blog

AUGUST 28, 2023

Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results. Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs.

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Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. It wasn’t until the development of deep learning algorithms in the 2000s and 2010s that LLMs truly began to take shape.

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Analytics Vidhya

APRIL 25, 2023

Introduction Since India gained independence, we have always emphasized the importance of elections to make decisions. Seventeen Lok Sabha Elections and over four hundred state legislative assembly elections have been held in India. Earlier, political campaigns used to be conducted through rallies, public speeches, and door-to-door canvassing.

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Pickl AI

OCTOBER 9, 2023

However, with the emergence of Machine Learning algorithms, the retail industry has seen a revolutionary shift in demand forecasting capabilities. This technology allows computers to learn from historical data, identify patterns, and make data-driven decisions without explicit programming.

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ODSC - Open Data Science

AUGUST 9, 2023

Understanding the Session In this engaging and interactive session, we will delve into PySpark MLlib, an invaluable resource in the field of machine learning, and explore how various classification algorithms can be implemented using AWS Glue/EMR as our platform. But this session goes beyond just concepts and algorithms.

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Viso.ai

DECEMBER 20, 2023

Supervised learning is a type of machine learning algorithm that learns from a set of training data that has been labeled training data. Typical computer vision tasks of supervised learning algorithms include object detection, visual recognition, and classification. for image data compression). to an image.

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Towards AI

FEBRUARY 15, 2024

They work along with data scientists, information technology specialists, and other engineers in their AI career to design, develop, and deploy applications and systems that can handle complicated tasks. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers.

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Unite.AI

OCTOBER 7, 2024

How does roboSculptor incorporate feedback from users and therapists to refine its algorithms? The movement history maylater be replayed and analyzed by algorithms. Gathering more data on the effectiveness of treatments will ultimately improve the quality of care based on big data analysis.

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Towards AI

APRIL 4, 2024

Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme. Shall we unravel the true meaning of machine learning algorithms and their practicability?

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TransOrg Analytics

AUGUST 9, 2024

AI, on the other hand, utilizes machine learning algorithms and predictive analytics to analyze vast amounts of data, uncovering hidden patterns and trends that inform more accurate and impactful promotions. Role of Big Data in Trade Promotion Optimization Big data plays a pivotal role in the optimization of trade promotions.

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Viso.ai

OCTOBER 10, 2024

Pattern recognition is the ability of machines to identify patterns in data, and then use those patterns to make decisions or predictions using computer algorithms. Pattern Recognition in Data Analysis What is Pattern Recognition? The data inputs can be words or texts, images, or audio files.

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