Data Science Dojo

NOVEMBER 25, 2024

Learn to build a recommendation system using Python Real-Time Interaction Whether it’s engaging with customers, analyzing live events, or responding to user queries, streaming enables more natural, responsive interactions. or later Install Langchain: Ensure that Langchain is installed in your Python environment.

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Analytics Vidhya

APRIL 19, 2023

OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits.

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Data Science Dojo

FEBRUARY 13, 2025

Whether you’re a researcher, developer, startup founder, or simply an AI enthusiast, these events provide an opportunity to learn from the best, gain hands-on experience, and discover the future of AI. If youre serious about staying at the forefront of AI, development, and emerging tech, DeveloperWeek 2025 is a must-attend event.

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Hacker News

DECEMBER 22, 2023

From one perspective, lives are simply sequences of events: People are born, visit the pediatrician, start school, move to a new location, get married, and so on. Here, we exploit this similarity to adapt innovations from natural language processing to examine the evolution and predictability of human lives based on detailed event sequences.

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Data Science Dojo

FEBRUARY 7, 2023

Top statistical techniques – Data Science Dojo Counterfactual causal inference: Counterfactual causal inference is a statistical technique that is used to evaluate the causal significance of historical events. These algorithms are often used to solve optimization problems, such as gradient descent and conjugate gradient.

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Dataconomy

DECEMBER 24, 2024

By using intelligent algorithms, real-time data analysis, and even emotional cues, AI has emerged as the ultimate networking wingman. AI-driven personalization takes away the guesswork: Smart recommendations: Algorithms suggest connections based on mutual goals, skills, or industries. The answer might be artificial intelligence.

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Data Science Dojo

DECEMBER 13, 2024

World Summit AI, Amsterdam The World Summit AI, scheduled for October 15-16, 2025, in Amsterdam, is a leading global event that gathers AI innovators and industry experts. AI & Big Data Expo Global The AI & Big Data Expo Global, taking place on November 25-26, 2025, in London, is a major event for AI and big data professionals.

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IBM Journey to AI blog

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

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Analytics Vidhya

JULY 5, 2022

What constitutes an odd event? Introduction Datasets are to machine learning models what experiences are to human beings. Have you ever witnessed a strange occurrence? What exactly do you consider to be strange? Is it based on comparisons with uncommon circumstances or things that […].

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Machine Learning Machine Learning Data Science Analytics 396

Data Science Dojo

SEPTEMBER 25, 2024

By leveraging AI-powered algorithms, media producers can improve production processes and enhance creativity. Some key benefits of integrating the production process with AI are as follows: Personalization AI algorithms can analyze user data to offer personalized recommendations for movies, TV shows, and music.

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Analytics Vidhya

JUNE 10, 2024

Seasonal changes, festivals, and cultural events often bring about these variances. Introduction Trends that repeat themselves over days or months are called seasonality in time series. Understanding these patterns is essential since they greatly influence corporate results and decision-making.

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Data Science Dojo

SEPTEMBER 8, 2023

Descriptive analytics involves summarizing historical data to extract insights into past events. Diagnostic analytics goes further, aiming to uncover the root causes behind these events. It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process.

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AWS Machine Learning Blog

JANUARY 22, 2025

On our SASE management console, the central events page provides a comprehensive view of the events occurring on a specific account. With potentially millions of events over a selected time range, the goal is to refine these events using various filters until a manageable number of relevant events are identified for analysis.

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Towards AI

OCTOBER 10, 2024

The evolution of Large Language Models (LLMs) allowed for the next level of understanding and information extraction that classical NLP algorithms struggle with. But often, these methods fail on more complex tasks.

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Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. Applied Machine Learning Scientist Description : Applied ML Scientists focus on translating algorithms into scalable, real-world applications.

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Analytics Vidhya

APRIL 1, 2023

It involves using new evidence to modify the prior probabilities of an event. Introduction Bayesian Networks or statistics form an integral part of many statistical learning approaches. It uses conditional probabilities to improve the prior probabilities, which results in posterior probabilities.

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Flipboard

FEBRUARY 14, 2023

PredictHQ, a demand intelligence company that uses machine learning to prognosticate the audience size for live TV events, accurately predicted this …

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Data Science Dojo

MAY 12, 2023

It is a measure of the likelihood of an event occurring. It is expressed as a number between 0 and 1, with 0 indicating that the event is impossible and 1 indicating that the event is certain. It is also used to build models that can predict future events or outcomes based on past data. What is probability?

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Dataconomy

MARCH 17, 2025

By identifying patterns within the data, it helps organizations anticipate trends or events, making it a vital component of predictive analytics. Through various statistical methods and machine learning algorithms, predictive modeling transforms complex datasets into understandable forecasts.

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Decision Trees Predictive Analytics Data Preparation Machine Learning 91

Hacker News

OCTOBER 5, 2024

The other night I spoke at a quantum computing event and was asked for the hundredth time? whether I agreed that the quantum algorithm called QAOA was poised revolutionize industries by finding better solutions to NP-hard optimization problems. the thousandth?

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Algorithm 130

Dataconomy

DECEMBER 21, 2023

The AI system utilizes advanced transformer models, similar to those powering ChatGPT , to analyze and understand the sequences of events that make up an individual’s life. These events include crucial details such as income , profession , residence , and health history.

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Towards AI

MARCH 6, 2025

However, people intuitively think of luck as an independent random event, in the way that we think about tossing a coin and having a 5050 chance of landing on heads no matter what the outcome of the previous toss was. I find that life does not necessarily reflect this.

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IBM Journey to AI blog

APRIL 11, 2023

The new rules, which passed in December 2021 with enforcement , will require organizations that use algorithmic HR tools to conduct a yearly bias audit. This means that processes utilizing algorithmic AI and automation should be carefully scrutinized and tested for impact according to the specific regulations in each state, city, or locality.

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Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

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DrivenData Labs

NOVEMBER 16, 2023

They reflect problems where public, private, and social sector organizations are actively investing in developing better algorithmic solutions. Disaster resilience ¶ Recap: The second area addresses the increase in extreme weather events and natural disasters like tropical storms, floods, and fires.

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Dataconomy

FEBRUARY 27, 2025

This event-driven architecture allows for massive parallel processing, akin to the operations of biological brains. Each field provides unique insights that enhance the overall design and functionality of these systems: Computer science: Responsible for the development of algorithms tailored for neuromorphic architectures.

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Towards AI

JUNE 19, 2024

Deciding What Algorithm to Use for Earth Observation. Picking the best algorithm is usually tricky or even frustrating. Especially if you do not know what you are looking for, you might utilize an algorithm and get an undesirable outcome, which in turn will take you back to square one. How to determine the right algorithm 1.

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SAS Software

APRIL 5, 2024

Authors: Steven Harenberg and Amy Becker The total solar eclipse taking place across a thin band of the United States on April 8, 2024, is going to be a stellar event. We will use algorithms [.] In this post, we will help plan a journey to see the total solar eclipse.

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Data Science Dojo

AUGUST 27, 2024

They might find that it’s because of a popular deal or event on Tuesdays. Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Ethical AI and Explainability Bias Mitigation: Addressing biases in AI algorithms to ensure fairness and equity.

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Data Scientist Data Science Machine Learning Machine Learning 273

NYU Center for Data Science

JANUARY 22, 2025

That surprising finding emerged from research by CDS MS in Data Science student Amelia (Hui) Dai , CDS PhD student Ryan Teehan , and CDS Assistant Professor of Computer Science and Data Science Mengye Ren , who developed a new benchmark called Daily Oracle to track how well AI models maintain their prediction ability of current events overtime.

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Dataconomy

JUNE 20, 2024

Now, the game is changing with real-time tracking sensors and smart algorithms (backed by AI and machine learning) that optimize logistics on the fly. Modern logistics beats by the pulse of real-time tracking sensors, predictive algorithms, and end-to-end visibility platforms.

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Dataconomy

JANUARY 3, 2024

From local happenings to global events, understanding the torrent of information becomes manageable when we apply intelligent data strategies to our media consumption. Machine learning algorithms take note of our reading habits, quietly tailoring news feeds to suit our preferences, much like a personal news concierge.

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Flipboard

MARCH 28, 2023

Generated by the new Modelscope text-to-video, an algorithmically-generated Will Smith shovels down a bizarro pasta meal. In recent months, advancements in AI-generated media are everywhere: generated “photos” of historical events that never happened, voices that mimic humans closely enough to break …

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Dataconomy

DECEMBER 25, 2024

Unlike traditional analytics, which focuses on summarizing past events, predictive analytics anticipates trends and identifies potential risks in patient care. Data Analysis Algorithms are applied to detect patterns and trends. This creates a detailed dataset that forms the foundation for analysis.

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Dataconomy

SEPTEMBER 25, 2024

AI integration in real-time data processing Artificial intelligence enhances real-time data processing through better comprehension with the help of advanced machine learning algorithms and analytics to act on that information. For instance, in financial markets, AI algorithms running on real-time data feed predict market fluctuations.

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Data Science Dojo

MARCH 2, 2023

These events bring together experts, practitioners, and thought leaders from various industries and backgrounds to share their experiences and best practices. It is a leading event in data analytics and technology, focusing on data and AI to drive business value and innovation.

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Hacker News

NOVEMBER 12, 2024

Monitoring has given us a distinct advantage in our efforts to proactively detect and remove weak cryptographic algorithms and has assisted with our general change safety and reliability efforts. More generally, improved understanding helps us to make emergency algorithm migrations when a vulnerability of a primitive is discovered.

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