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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Towards AI

FEBRUARY 10, 2023

Unlocking the Power of Real-time Predictions: An Introduction to Incremental Machine Learning for Linked Data Event Streams Photo by Isaac Smith on Unsplash This article discusses online machine learning, one of the most exciting subdomains of machine learning theory. But first things first, what is incremental or online machine learning?

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KDnuggets

JANUARY 20, 2020

Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning.

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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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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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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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Dataconomy

JULY 4, 2023

You may now have a clearer understanding of how Meta’s multiple feed algorithms function and how it uses cutting-edge AI systems to match relevant material to interested viewers in-stream. This information about Meta AI and its algorithm is available on the official website. Meta AI could change the future.

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Heartbeat

FEBRUARY 6, 2023

How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. Two-Stage Algorithms: Two-stage object detection algorithms consist of two different stages. Single-stage object detection algorithms do the whole process through a single neural network model.

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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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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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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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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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ODSC - Open Data Science

APRIL 18, 2023

Now, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition. Finance and algorithmic trading aren’t just up to numbers, as the market fluctuates based on news and trends in social media.

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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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Towards AI

JULY 17, 2023

Apriori algorithm is the most sought-after tool when it comes to conducting Market Basket Analysis. A note from the authors Dear readers, before you go through our article, please be informed that we assume that you have a general idea about Market Basket Analysis and the Apriori algorithm. Thank you for your time and interest!

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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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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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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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Pickl AI

SEPTEMBER 7, 2023

When you start exploring more about Machine Learning, you will come across the Gradient Boosting Algorithm. Basically, it is a powerful and versatile machine-learning algorithm that falls under the category of ensemble learning. Machine Learning models can leave you spellbound by their efficiency and proficiency.

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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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Mlearning.ai

FEBRUARY 10, 2024

Unlocking Predictive Power: How Bayes’ Theorem Fuels Naive Bayes Algorithm to Solve Real-World Problems [link] Introduction In the constantly shifting realm of machine learning, we can see that many intricate algorithms are rooted in the fundamental principles of statistics and probability. Take the Naive Bayes algorithm, for example.

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Heartbeat

MAY 2, 2023

Deep learning is based in algorithms, which are mathematical operations that let computers learn from data and get better over time. In this article, we will examine some different popular deep learning algorithms and how they operate.

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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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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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Dataconomy

OCTOBER 11, 2024

At AMD’s Advancing AI event, CEO Lisa Su took the stage to announce a series of innovations aimed at AI customers. AMD Advancing AI 2024 at a glance Let’s break down the key announcements from the Advancing AI event. These improvements come from advancements in algorithms, graph optimizations, and improved compute libraries.

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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

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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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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ODSC - Open Data Science

JANUARY 27, 2023

Ten Game-Changing Generative AI Projects, The Quest for the Ultimate Learning Algorithm, and Training Your PyTorch Model Top Ten Game-Changing Generative AI Projects in 2023 Here are our picks for a few generative AI projects that are worth checking out for yourself, most of which you can experiment with for free.

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Hacker News

JULY 18, 2024

Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms. WE'RE GROWING - COME GROW WITH US!

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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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Dataconomy

NOVEMBER 13, 2024

The algorithm now incorporates a broader range of labeled data, trained from three times more locations than before. This dataset provides flood forecasts and alerts from as far back as 1981, allowing scientists and researchers to analyze past flood events and trends. Flood data generation has seen dramatic enhancements.

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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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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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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

JANUARY 4, 2024

Samsung is getting ready to unveil its new technologies at the Unpacked 2024 event, including the Galaxy AI Zoom! Samsung just gave us a sneak peek before the big Galaxy Unpacked event happening later this month. Stay tuned for a game-changing Unpacked event that promises to redefine the boundaries of smartphone technology!

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Data Science Blog

JUNE 27, 2023

In this representation, there is a separate store for events within the speed layer and another store for data loaded during batch processing. It is important to note that in the Lambda architecture, the serving layer can be omitted, allowing batch processing and event streaming to remain separate entities.

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