insideBIGDATA

MARCH 31, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 301

Big Data Big Data Machine Learning Machine Learning 301

insideBIGDATA

SEPTEMBER 29, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 235

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insideBIGDATA

FEBRUARY 2, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 313

Big Data Big Data Machine Learning Machine Learning 313

insideBIGDATA

DECEMBER 20, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 195

Big Data Big Data Machine Learning Machine Learning 195

insideBIGDATA

FEBRUARY 28, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 285

Big Data Big Data Machine Learning Machine Learning 285

insideBIGDATA

JUNE 21, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 235

Big Data Big Data Machine Learning Machine Learning 235

insideBIGDATA

SEPTEMBER 5, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 195

Big Data Big Data Machine Learning Machine Learning 195

insideBIGDATA

AUGUST 1, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 195

Big Data Big Data Machine Learning Machine Learning 195

Analytics Vidhya

OCTOBER 12, 2020

Introduction In general terms, this article is going to be about data cleansing. The post Sanitizing the Data – Merging Disparate Data Sources on Common Categories appeared first on Analytics Vidhya. Specifically, the process I would like to explore is actually a.

Analytics 271

Analytics Analytics Deep Learning Deep Learning 271

KDnuggets

OCTOBER 8, 2019

In general, data quality issues are categories in four major sets. To build an effective learning model, it is must to understand the quality issues exist in data & how to detect and deal with it.

Data Quality 166

Data Quality Data Preparation 166

Dataconomy

MARCH 11, 2024

It exhibits near-human levels of comprehension and fluency on complex tasks, leading the frontier of general intelligence. Opus offers robust capabilities in analysis and forecasting, nuanced content creation, code generation, and conversing in multiple languages. and the Claude API, which is now generally available in 159 countries.

AI 202

AI AI Artificial Intelligence Artificial Intelligence 202

Flipboard

SEPTEMBER 13, 2023

It’s been 9 months since ChatGPT was released and 7 months since it became the fastest consumer application to reach 100 million monthly active users , ushering in a new era of generative AI. But other than ChatGPT, how are consumers interacting with generative AI (GenAI) products? Another category worth mentioning? Model hubs.

AI 181

AI AI 181

Hacker News

DECEMBER 13, 2023

We’re a category-creating, fast-scaling, well-funded startup with a global presence. Our solution has attracted investment from top-tier investors such as General Catalyst, NEA, Y Combinator, SV Angel, and Liquid2 Ventures (Joe Montana) as well as GTM executives from Datadog, Databricks, Box, Dropbox, Palantir, and SAP.

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ML @ CMU

APRIL 14, 2023

The simulator comes ready with 120 scenes of kitchens, bathrooms, living rooms, and bedrooms with over 116 object categories (and significantly more object instances) scattered throughout. This gives the network priors about how objects are generally arranged in a “clean” state.

Artificial Intelligence 363

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 363

Towards AI

MAY 10, 2024

The images are separated into four categories: no tumor, glioma tumor, meningioma tumor, and pituitary tumor. Figure 2 shows a sample image for each category. Sample Images for Each Category. General Overview of the Image Features Extraction. Stacking Model Representation Diagram. [4]

K-nearest Neighbors 85

K-nearest Neighbors Decision Trees Machine Learning Machine Learning 85

ML @ CMU

JANUARY 13, 2023

Typically, this question is side-stepped by defining a vocabulary of categories and then training a model to detect instances of this vocabulary. When the utterance is a list of object categories, BUTD-DETR operates as a standard object detector. For the category labels with no instances present in the visual input (e.g.

Machine Learning 130

Machine Learning Machine Learning 130

AWS Machine Learning Blog

NOVEMBER 26, 2023

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

AWS 75

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Data Science Dojo

MARCH 18, 2024

On the other hand, fine-tuning offers a way to specialize a general AI model for specific tasks or knowledge domains. This process transforms a jack-of-all-trades into a master of one, equipping it with the nuanced understanding required for tasks where generic responses just won’t cut it.

Database 369

Database AI AI Natural Language Processing 369

How to Learn Machine Learning

APRIL 23, 2023

The technology of AI has been categorized as narrow ai vs general, and super artificial intelligence. General artificial intelligence (AGI) While narrow AI is considered the technology in use today, general AI is said to be the next step in the direction of the future of AI technology.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Towards AI

NOVEMBER 8, 2023

City_Category: The user’s living city category. Cities are categorised into three different categories: ‘A’, ‘B’, and ‘C’. Product_Category_1 to _3: Category of the product. Probably the three categories are time-bounded. Age: indicates the age group of the person making the transaction. Target: Purchase: Purchase amount.

EDA 114

EDA Machine Learning Machine Learning AI 114

Mlearning.ai

JULY 19, 2023

Balanced Dataset: A dataset is considered balanced when two or more categories are equally or nearly equally represented within the dataset. For instance, imagine a dataset where we aim to predict whether a person belongs to category A or B based on their food habits. category A) to balance the dataset.

Supervised Learning 52

Supervised Learning ML ML Data Science 52

Google Research AI blog

MAY 12, 2023

This is orders of magnitude smaller than the vocabulary people use to describe the visual world and leaves out many categories. This motivates us to explore the use of frozen VLMs for open-vocabulary object detection with the goal to expand detection beyond the limited set of annotated categories.

Supervised Learning 96

Supervised Learning 96

Data Science Dojo

MARCH 31, 2023

Use of Generative AI The conversation then shifts to the use of generative AI, which has been used in the field of data science and ML for a while. Francesca explains that there are three main categories where generative AI is used every day in her work.

AI 370

AI AI Data Scientist Data Science 370

Dataconomy

MAY 21, 2024

Generally, researchers agree that language models with fewer than 100 million parameters fall under the “small” category, although this classification can differ. This generality may lead to gaps in handling industry-specific terminology and nuances, potentially decreasing the effectiveness of their responses.

Natural Language Processing 113

Natural Language Processing Internet of Things Data Analysis Data Analysis 113

Google Research AI blog

AUGUST 28, 2023

To overcome this, the open-vocabulary detection task (OVD) has emerged, utilizing image-text pairs for training and incorporating new category names at test time by associating them with the image content. By treating categories as text embeddings, open-vocabulary detectors can predict a wide range of unseen objects.

Clustering 71

Clustering 71

Mlearning.ai

APRIL 17, 2023

As a general rule, a larger dataset can support a more complex model, but it’s essential to monitor the model’s performance on validation or test data to ensure it generalizes well to new data. Based on this analysis, we identified certain categories that performed poorly in distinguishing churned customers.

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

Flipboard

SEPTEMBER 27, 2023

The company is led by Ashish Kapoor , who spent 17 years at Microsoft, most recently as general manager of autonomous systems and robotics research. Scaled Foundations, which operates independently from Microsoft, is trying to accomplish that goal with its flagship platform called General Robotic Intelligence Development (GRID).

AI 117

AI AI Analytics Analytics 117

Data Science Dojo

AUGUST 11, 2023

These models can be used to predict future outcomes or to classify data into different categories. These algorithms learn patterns from labeled training data and generalize those patterns to make predictions on unseen data. Decision trees are used to classify data into different categories.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

FlowingData

MAY 21, 2021

Sema Sgaier for NYT Opinion talks about why that is, breaking it down to four general types of people who are hesitant or don’t plan on getting vaccinated : After conducting a national survey of U.S. It will allow health officials to target their strategies in ways that ignore demographic categories, like age and race.

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Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis Data Visualization 52

AWS Machine Learning Blog

SEPTEMBER 5, 2023

We use the powerful generating capability of LLMs to generate the final decision including safe/unsafe labels and category type. In addition, by designing a prompt, we can make an LLM generate the defined output format, such as JSON format. Model generalization – This is critical to adopting ML-based approaches.

ML 89

ML ML AI AI 89

Smart Data Collective

MAY 27, 2021

For example, usually copyrighted data (or content in general) cannot be collected and used for commercial purposes. Instead of thinking of personal data as a different category altogether, we might think of it as an additional dimension. Some of both categories will be personal data. a set of commonly visited locations).

Big Data 131

Big Data Big Data Database Analytics 131

AWS Machine Learning Blog

OCTOBER 20, 2023

The Meesho marketplace provides micro, small, and medium businesses and individual entrepreneurs access to millions of customers, a selection from over 30 categories and more than 900 sub-categories, pan-India logistics, payment services, and customer support capabilities to efficiently run their businesses on the Meesho ecosystem.

AWS 88

AWS ML ML Data Scientist 88

Mlearning.ai

APRIL 17, 2023

Although the time spent in shopping centers varies according to personal preferences and reasons, it can vary between 1–2 hours, which corresponds to an average day, in general. category: String variable of the category of the purchased product. However, longer periods can be spent, especially on weekends and holidays.

Data Analysis 52

Data Analysis Data Analysis Exploratory Data Analysis Data Visualization 52

Flipboard

JANUARY 2, 2024

Looking ahead to 2024, the rapid pace will persist, accompanied by the rise of specialized vertical and domain-specific models entering the market, alongside the more generalized, pre-trained models. to take notice, but likely nothing of regulatory substance given how new the category is.”

AI 102

AI AI 102

ML @ CMU

SEPTEMBER 15, 2023

For example on the left, we visualize images from the ImageNet Chair category, and on the right, we visualize the ObjectNet chair category. In this work, we focus on unsupervised adaptation, as it is a more general setting. However, this doesn’t hold true in reality. In fact, there is a distribution shift happening all the time!

Machine Learning 211

Machine Learning Machine Learning Supervised Learning Algorithm 211

Towards AI

MARCH 28, 2024

A rebel general vowed to capture the fortress. The general knew that an attack by his entire army would capture the fortress. However, the general then learned that the dictator had planted mines on each of the roads. However, the general devised a simple plan. Many roads led to the fortress through the countryside.

ML 72

ML ML AI AI 72