Classify A Rare Event Using 5 Machine Learning Algorithms
KDnuggets
JANUARY 15, 2020
Which algorithm works best for unbalanced data? Are there any tradeoffs?
Local Search Algorithms in AI: A Comprehensive Guide
Analytics Vidhya
AUGUST 9, 2024
Introduction Suppose you are planning a very big event and realize that you have to determine the most efficient way of distributing the workload among the team members. This is where local search algorithms come in. You attempt a couple of approaches but find yourself getting stuck and are unable to move forward.
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A New Olympics Event: Algorithmic Video Surveillance
DECEMBER 27, 2023
This summer, at the Paris Olympic Games, security officials will perform a much bigger experiment in the heart of the City of Light, covering the events, the entire Olympic village, and the connecting roads and rails. This article is part of our special report Top Tech 2024. Countries often treat the Olympics like a security trade fair.
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Top 8 Machine Learning Algorithms
Data Science Dojo
JULY 15, 2024
By understanding machine learning algorithms, you can appreciate the power of this technology and how it’s changing the world around you! Let’s unravel the technicalities behind this technique: The Core Function: Regression algorithms learn from labeled data , similar to classification.
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Top 9 AI conferences and events in USA – 2023
Data Science Dojo
OCTOBER 10, 2023
AI conferences and events are organized to talk about the latest updates taking place, globally. Why must you attend AI conferences and events? Attending global AI-related virtual events and conferences isn’t just a box to check off; it’s a gateway to navigating through the dynamic currents of new technologies. billion by 2032.
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Sleep regularity and major adverse cardiovascular events
Hacker News
NOVEMBER 27, 2024
Background This study examines the associations between device-measured sleep regularity and the risk of major adverse cardiovascular events (MACE), and aims to determine whether sufficient sleep duration attenuates or eliminates the effects of irregular sleep on MACE risk. reference group)).
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Top Stories, Jan 13-19: Math for Programmers!; Decision Tree Algorithm, Explained
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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The End of the Giant AI Models Era: OpenAI CEO Warns Scaling Era Is Over
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.
Using Sequences of Life-Events to Predict Human Lives
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.
Master the top 7 statistical techniques for better data analysis
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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Real-time artificial intelligence and event processing
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.
Outliers and Overfitting when Machine Learning Models can’t Reason
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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Media Production with AI: 7 Fields of Creativity in the Industry
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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Predictive analytics vs. AI: Why the difference matters in 2023?
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.
Introduction to Seasonality in Time Series
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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LLM-Powered Metadata Extraction Algorithm
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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Bayesian Networks – Probabilistic Neural Network (PNN)
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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Tech firm's algorithms nail Super Bowl LVII viewership prediction
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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Time-series forecasting through recurrent topology
Hacker News
NOVEMBER 23, 2024
Common approaches for forecasting future events often rely on highly parameterized or black-box models. Here, we introduce a learning algorithm that avoids these drawbacks. Chomiak and Hu introduce a versatile time-series data prediction algorithm using recurring local topological patterning.
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From theory to practice: Harnessing probability for effective data science
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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Top 13 AI Conferences to Attend in 2025
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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Streaming Langchain: Real-time Data Processing with AI
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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Life2vec offers an AI-powered way to learn when you will die
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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Quantum Advantage for NP Approximation
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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Global executives and AI strategy for HR: How to tackle bias in algorithmic AI
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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Open data using AI for climate action
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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Google Research, 2022 & beyond: Algorithms for efficient deep learning
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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Meta explains everything about its evolving feed algorithms and its AI intentions
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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Deciding What Algorithm to Use for Earth Observation.
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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Planning your solar eclipse journey with network analytics
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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Unraveling the tapestry of global news through intelligent data analysis
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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How to become a data scientist – Key concepts to master data science
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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How real-time tracking and AI are revolutionizing shipping logistics
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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AI Will Smith Eating Spaghetti Hill Haunt You For the Rest of Your Life
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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AI real-time data processing: An overview
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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Top 5 data analytics conferences to attend in 2023 – Get ready to connect with the best in business
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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How Meta built large-scale cryptographic monitoring
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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How can cybersecurity analysts utilize AI technology?
Dataconomy
SEPTEMBER 15, 2023
In addition to learning about random events, history and facts, you can do so much more. In contrast, AI cybersecurity solutions use machine learning algorithms that can detect and respond to known and novel threats in real-time, preventing malicious code and applications from entering and infecting a network.
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AI Battles the Bane of Space Junk
JULY 1, 2023
In a paper presented earlier this year at the European Space Agency’s second NEO and Debris Detection Conference in Darmstadt, Germany, Fabrizio Piergentili and colleagues presented results of their evolutionary “genetic” algorithm to monitor the rotational motion of space debris.
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Eventual (YC W22) Is Hiring a Developer Relations Manager for Daft (SF)
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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How Meta trains large language models at scale
Hacker News
JUNE 12, 2024
Efficient preservation of the training state : In the event of a failure, we need to be able to pick up where we left off. Solving this problem requires a robust and high-speed network infrastructure as well as efficient data transfer protocols and algorithms. When they do, we need to be able to recover quickly.
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AI in Cybersecurity: Revolutionizing threat detection and defense
Data Science Dojo
AUGUST 2, 2023
Threat detection: Advanced pattern recognition and anomaly detection AI-driven threat detection systems leverage machine learning algorithms to overcome the limitations of traditional methods. AI algorithms can learn from historical data and adapt to new threats, making them highly effective in identifying previously unseen attack vectors.
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Albanian Bitcoin Investors Tap the Power of Predictive Analytics
Smart Data Collective
AUGUST 24, 2022
Palakurla writes that random forest algorithms appear to be highly effective at gauging future cryptocurrency prices. Predictive analytics models with these algorithms can be useful for forecasting future bitcoin prices. Predicting Asset Values Based on Geopolitical Events.
Streaming Machine Learning Without a Data Lake
ODSC - Open Data Science
MAY 31, 2023
Apache Kafka is an event streaming platform that collects, stores, and processes streams of data (events) in real-time and in an elastic, scalable, and fault-tolerant manner. Consumers read the events and process the data in real-time. The TensorFlow instance acts as a Kafka consumer to load new events into its memory.
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