Analytics Vidhya

JANUARY 13, 2024

Ready to challenge your knowledge! This quiz series features 10 thought-provoking questions on MongoDB. Whether you’re an expert or a curious learner, our quizzes cater to all levels. Embark on this journey of continuous learning and test your knowledge across pivotal topics shaping the future of analytics and technology. Let’s Begin!

AI 240

AI AI Analytics Analytics 240

databricks

NOVEMBER 8, 2023

In this four-part blog series “Lessons learned building Cybersecurity Lakehouses,” we are discussing a number of challenges organizations face with data engineering when bui.

Data Engineering 203

Data Engineering Data Engineer Data Engineering Data Engineering 203

databricks

NOVEMBER 10, 2023

In this four-part blog series, "Lessons learned from building Cybersecurity Lakehouses," we are discussing a number of challenges organizations face with data engineering.

Data Engineering 198

Data Engineering Data Engineer Data Engineering Data Engineering 198

Analytics Vidhya

JANUARY 10, 2024

Prepare to challenge your knowledge! This quiz series features 10 thought-provoking questions on Support Vector Regression. Whether you’re an expert or a curious learner, our quizzes cater to all levels. Let’s Begin!

Analytics 227

Analytics Analytics 227

Dataconomy

NOVEMBER 25, 2022

Time series forecasting is one of the key topics of machine learning. In contrast to many other prediction tasks, time series issues are more challenging since the time component contributes more information. What is time series. The fact that so many prediction issues have a temporal component makes it crucial.

Machine Learning 244

Machine Learning Machine Learning 244

Hacker News

MAY 16, 2024

We introduce MOMENT, a family of open-source foundation models for general-purpose time series analysis. Pre-training large models on time series data is challenging due to (1) the absence of a large and cohesive public time series repository, and (2) diverse time series characteristics which make multi-dataset training onerous.

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Hacker News

MARCH 25, 2024

TL;DR: Moirai is a cutting-edge time series foundation model, offering universal forecasting capabilities. It stands out as a versatile time series forecasting model capable of addressing diverse forecasting tasks across multiple domains, frequencies, and variables in a zero-shot manner.

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Flipboard

AUGUST 13, 2023

Artificial intelligence startup Modular Inc. is said to be involved in discussions with investors including General Catalyst over a big funding round …

Artificial Intelligence 83

Artificial Intelligence Artificial Intelligence AI AI 83

Analytics Vidhya

APRIL 29, 2023

Introduction Welcome to our success story interview series, where we bring you inspiring stories from successful data scientists who have made a name for themselves in the field of data science.

Data Scientist 244

Data Scientist Data Science Analytics Analytics 244

Analytics Vidhya

FEBRUARY 11, 2021

ArticleVideos “I think the main challenge for a lot of beginner kagglers is to overcome their fear of failure and criticism”- Kostiantyn Isaienkov The. The post Kaggle Grandmaster Series – Exclusive Interview with Kaggle Notebooks Grandmaster Kostiantyn Isaienkov (#Rank 8) appeared first on Analytics Vidhya.

Analytics 330

Analytics Analytics 330

Analytics Vidhya

NOVEMBER 2, 2020

This article is the third in a series of four, where we mention some of the most discussed points to keep in mind before. The post Getting started with Analytics: Data Challenges appeared first on Analytics Vidhya.

Analytics 313

Analytics Analytics Data Governance 313

Analytics Vidhya

OCTOBER 19, 2021

Either it is calibrating time-series models, processing Bayesian deep […]. The post Diving Into the Future of Deep Learning: Exploring the Novel Challenges Title appeared first on Analytics Vidhya.

Deep Learning 311

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 311

Hacker News

JANUARY 1, 2024

The DARPA Triage Challenge (DTC) will use a series of challenge events to spur development of novel physiological features for medical triage.

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Hacker News

JANUARY 3, 2024

I recently started doing CTF challenges. A few days ago, I was working on a challenge from 247CTF.com. I found a challenge that, in my opinion, shows why using ECB(Electronic Codebook) mode for encrypting with block ciphers like AES or Twofish isn’t a good idea.

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SAS Software

JANUARY 30, 2023

Time series data is widely used in various fields, such as finance, economics, and engineering. One of the key challenges when working with time series data is detecting level shifts. A level shift occurs when the time series’ mean and/or variance changes abruptly.

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Hacker News

FEBRUARY 8, 2024

Our largest model reaches a Lichess blitz Elo of 2895 against humans, and successfully solves a series of challenging chess puzzles, without any domain-specific tweaks or explicit search algorithms. To validate our results, we perform an extensive series of ablations of design choices and hyperparameters. turbo-instruct.

Supervised Learning 127

Supervised Learning Machine Learning Machine Learning Algorithm 127

Hacker News

MAY 20, 2024

So some kind of "challenge" may be just what the penguin ordered: a series of increasingly difficult, focused tasks targeted at kernel development. As it turns out, the Eudyptula Challenge—which has been attracting potential kernel hackers since February—provides exactly that.

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Dataconomy

JULY 5, 2023

A recent incident involving a user of the AI content creation platform, Midjourney, encapsulates the challenges and responsibilities that come with this new era of digital creation. “I never presented the images [in the photo series] as real,” Brown told PetaPixel.

AI 185

AI AI Artificial Intelligence Artificial Intelligence 185

Analytics Vidhya

JANUARY 7, 2021

ArticleVideos “Data Science is full of opportunities and challenges and I want to explore those opportunities.” The post Kaggle Grandmaster Series – Exclusive Interview with 2x Kaggle Grandmaster Prashant Banerjee appeared first on Analytics Vidhya. Mindset is one of the factors that is.

Data Science 173

Data Science Analytics Analytics 173

Data Science Dojo

JUNE 5, 2023

“In remote companies, thought leader guest speaker series fuel the collective intelligence, empowering teams to tackle complex challenges with confidence.” The series is an initiative by the Data Science Dojo team which believes in investing in their employees’ personal and professional growth.

Data Science 195

Data Science 195

Dataversity

MAY 8, 2023

Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series.

Data Governance 95

Data Governance AI AI Data Quality 95

FlowingData

OCTOBER 27, 2023

Insects are dying at a high rate every year , but it is difficult to estimate an accurate number, because it is a challenge to gather data for millions of species around the world.

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AWS Machine Learning Blog

MARCH 19, 2024

However, this progress introduces unique challenges for enterprises navigating data-driven solutions. Nevertheless, standalone FMs face limitations in handling complex industrial data with context size constraints (typically less than 200,000 tokens ), which poses challenges.

AI 110

AI AI AWS Python 110

AWS Machine Learning Blog

DECEMBER 18, 2023

As industries evolve in today’s fast-paced business landscape, the inability to have real-time forecasts poses significant challenges for industries heavily reliant on accurate and timely insights. In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution.

Clustering 100

Clustering AWS Database ML 100

Hacker News

MAY 3, 2024

Utilizing this dataset, we train a series of models, referred to as StructLM, based on the Mistral and the CodeLlama model family, ranging from 7B to 34B parameters. Our StructLM series surpasses task-specific models on 16 out of 18 evaluated datasets and establishes new SoTA performance on 8 SKG tasks. million examples.

Database 69

Database 69

Dataversity

APRIL 12, 2024

The latest installment in our Q&A series with women leaders in data features Dr. Christina Sandema-Sombe, chief data steward of Nike, Inc. Dr. Christina Sandema-Sombe first learned the joys – and challenges – of working with data as the global impact measurement lead at a humanitarian aid organization.

Data Governance 59

Data Governance Data Quality Business Intelligence Business Intelligence 59

Hacker News

OCTOBER 11, 2023

These forecasters leverage Transformers to model the global dependencies over temporal tokens of time series, with each token formed by multiple variates of the same timestamp. However, Transformer is challenged in forecasting series with larger lookback windows due to performance degradation and computation explosion.

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Towards AI

MAY 3, 2024

Unlock the Secrets of Stock Market Forecasting with Python’s PMDARIMA LibraryStock Prediction(Source: By Author) Predicting stock market prices is a challenging yet crucial task for investors and financial analysts. Last Updated on May 7, 2024 by Editorial Team Author(s): Himanshu Sharma Originally published on Towards AI.

Python 84

Python Machine Learning Machine Learning AI 84

DrivenData Labs

MAY 22, 2024

Hungry Horse Reservoir Inflow is one of the 26 sites that participants are issuing forecasts for in the challenge. In the Hindcast Stage —the first stage of the challenge—participants developed forecast models that were evaluated against 10 years of held out historical data. What motivated you to compete in this challenge?

Cross Validation 130

Cross Validation Machine Learning Machine Learning ML 130

SAS Software

JUNE 27, 2023

In the first of this two-part blog series, we discussed why corporate sustainability is gaining momentum and explored the benefits and challenges it brings to business. Let’s dive into some practical tips on how to facilitate sustainability transformation within your organization: 1.

AI 98

AI AI Artificial Intelligence Artificial Intelligence 98

Towards AI

FEBRUARY 21, 2024

Time series data is everywhere and is one of the most available data. Many industries, including retail, financing, or energy, use time series. In time series, observations are recorded at regular or irregular time intervals. Time series data is also often called structured or tabular data.

AI 79

AI AI ML ML 79

Machine Learning Research at Apple

DECEMBER 2, 2022

This paper was accepted at the workshop "Learning from Time Series for Health" at NeurIPS 2022. Models of exercise physiology have been used to characterize cardiorespiratory fitness in well-controlled laboratory settings, but face additional challenges when applied to wearables in noisy, real-world settings.

Machine Learning 100

Machine Learning Machine Learning 100

ODSC - Open Data Science

MARCH 1, 2024

Open Data Science Blog Recap Paris-based Mistral AI is emerging as a formidable challenger to industry giants like OpenAI and Anthropic. Open Data Science Blog Recap Paris-based Mistral AI is emerging as a formidable challenger to industry giants like OpenAI and Anthropic. In a shift toward AI, Apple shutters its electric car program.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

Mlearning.ai

OCTOBER 29, 2023

· Introduction ∘ Importance of Preprocessing in NLP ∘ High-level Overview of the Topics Covered in the Series · What is Text Preprocessing? Challenges in Raw Textual Data · Overview of…

ML 52

ML ML 52

ML @ CMU

DECEMBER 8, 2023

For example, crows solve a complex physical puzzle using a series of tools, and apes use a tree branch to crack open nuts or fish termites with a stick. Benchmark In this work, we aim to explore three challenging categories of creative tool use for robots: tool selection, sequential tool use, and tool manufacturing.

Python 310

Python Machine Learning Machine Learning 310

Data Science Dojo

NOVEMBER 28, 2023

Among the notable LLMs, OpenAI’s GPT (Generative Pre-trained Transformer) series and Google’s BERT (Bidirectional Encoder Representations from Transformers) have gained immense prominence. LLMs are sophisticated neural network-based models designed to understand and generate human-like text at an unprecedented scale.

Natural Language Processing 482

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 482

Hacker News

MARCH 5, 2024

This leads to a series of challenges which should guide researchers aiming to build tabular-specific NNs: 1. Results show that tree-based models remain state-of-the-art on medium-sized data ($sim$10K samples) even without accounting for their superior speed. be robust to uninformative features, 2.

Deep Learning 97

Deep Learning Deep Learning 97