Towards AI

JULY 17, 2023

Still, the concept stays the same; we’re trying to classify relevant and irrelevant content. You need to classify between 6 different categories, i.e.,… Read the full blog for free on Medium.

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Data Science Dojo

AUGUST 11, 2023

Data science takes on a comprehensive approach to the concept of scientific inquiry, albeit adhering to certain fundamental regulations and tenets. By applying statistical concepts such as central tendency, variability, and correlation, data scientists can gain insights into the underlying structure of data.

Data Science 195

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ML @ CMU

DECEMBER 8, 2023

Analyzer , which processes the natural language input to identify key concepts that could impact the task’s feasibility. Planner , which receives both the original language input and the identified key concepts to formulate a comprehensive strategy for completing the task. All of these components are constructed using GPT-4.

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Mlearning.ai

JULY 19, 2023

In this context, we will explore the concepts of balanced and imbalanced data, as well as two common techniques used to balance imbalanced datasets: SMOTETomek and RandomOverSampler. Balanced Dataset: A dataset is considered balanced when two or more categories are equally or nearly equally represented within the dataset.

Supervised Learning 52

Supervised Learning ML ML Data Science 52

Explosion

JUNE 12, 2023

Prior studies have suggested that inter-rater agreement for clinical concept extraction is low. We have examined inter-rater agreement for annotating neurologic concepts in clinical notes from electronic health records. Inter-rater agreement between the three annotators was high for text span and category label.

Natural Language Processing 52

Natural Language Processing 52

Pickl AI

APRIL 11, 2023

The broader classification of variables falls under the following categories: Qualitative variable -It includes the data that doesn’t hold a quantifiable or numerical value. Nominal and ordinal variables are sub-categories of qualitative variables. It can be further subdivided into nominal and ordinal variables.

Data Science 52

Data Science Data Scientist Data Visualization Data Analysis 52

Dataversity

JANUARY 8, 2021

Ontologies study concepts that directly relate to “being,” i.e., concepts that relate to existence and reality as well as the basic categories of being and their relations. Let’s see if we can serve pizza via the Semantic Web and an analytics platform. Will they blend? In information science, […]. The post Will They Blend?

Analytics 52

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Heartbeat

MARCH 13, 2024

The beauty of this dataset is that it has just the right amount of difficulty to ensure that you learn numerous concepts in a deep learning problem. Project Overview In our tiny project, I will use one of my favorite datasets. We are going to be using data from Kaggle's famous Cats-and-Dogs problem. 255, shear_range=0.1, zoom_range=0.2,

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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. mask AP r.

Clustering 71

Clustering 71

AWS Machine Learning Blog

APRIL 5, 2024

adds 26 new moderation labels and expands the moderation label taxonomy from a two-tier to a three-tier label category. These new labels and the expanded taxonomy enable customers to detect fine-grained concepts on the content they want to moderate. You also receive a confidence score for each label category.

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Towards AI

FEBRUARY 25, 2023

Part 1 Photo by Andrew Neel on Unsplash Purpose of Writing SLAM is one of the machine vision concepts that is widely used in robotics. My Master’s thesis was related to this concept. It was challenging to understand the concept due to a lack of knowledge about SLAM-related phrases and idioms. It was a game-changer.

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Towards AI

OCTOBER 30, 2023

The goal is to keep you up to date with machine learning projects, research papers, and concepts. This marks the pioneering effort to extend the concept of instruction-tuning into the realm of multimodal AI, thereby laying the foundation for the development of a versatile, general-purpose visual assistant.

Machine Learning 124

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 124

Chatbots Life

APRIL 16, 2024

Generative models focus on capturing the underlying patterns of data to generate new examples that resemble the original dataset, while discriminative models concentrate on classifying or discriminating between different categories based on input features. Can you provide examples of generative models?

Natural Language Processing 59

Natural Language Processing Support Vector Machines Machine Learning Machine Learning 59

Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. These reference guides condense complex concepts, algorithms, and commands into easy-to-understand formats.

Data Scientist 52

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Google Research AI blog

JULY 13, 2023

We then remap labels to a random label from a set of ~30K arbitrary labels selected from one of three categories: integers, character combinations, and words. We use a set of ∼300K arbitrary symbols from three categories (integers, character combinations, and words). A–E): categories of list functions tasks. (F):

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Towards AI

FEBRUARY 15, 2023

It could be the next major platform upon which founders build category-defining products. This article explores the main consumer categories with opportunities like search and product discovery, education, dating, coaching, e-commerce, and more. Generative AI: The Next Consumer Platform We’ve entered the age of generative AI.

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AI AI Natural Language Processing Machine Learning 98

Flipboard

NOVEMBER 25, 2023

The issue, he adds, is the concept of content vs. style. "So My view is that courts are probably going to settle on training, on copyright, predictive data being fair use, given that it is fair use for an actual person to train in that manner," he says.

AI 72

AI AI Machine Learning Machine Learning 72

Mlearning.ai

OCTOBER 2, 2023

This category is further bifurcated into: Adapters : Introducing small fully connected networks post-Transformer sub-layers, adapters have proven to be remarkably parameter-efficient, achieving competitive performance with less than 4% of the total model parameters being tuned. Read the lora paper for more, here. Vaswani, Ashish, et al.

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IBM Journey to AI blog

AUGUST 15, 2023

The functionality has been expanded to capture savings and investments across various categories, including accounts, resource groups, regions and action types (among others). To provide a clearer illustration, let’s delve into an example that demonstrates the application of this concept.

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Azure Database 66

DataRobot

AUGUST 30, 2021

As part of a blog post series on the topic of building trust in AI , we recently talked about how DataRobot organizes trust in an AI system into three main categories: performance, operations, and ethics. In each of these categories is a set of dimensions of trust. Humility as a Dimension of Trust in Operations. Conclusion.

AI 90

AI AI 90

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

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Towards AI

MARCH 28, 2024

As an AI/ML engineer, I was inspired by the striking resemblance between this concept and how ML algorithms tackle zero-shot learning (ZSL) methods. Refer Prompting Guide) These prompting techniques are rooted in the broader concepts of Zero-Shot, One-Shot, and Few-Shot Learning in machine learning.

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AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics. Building on the concept of dynamically fetching up-to-date data to produce personalized content, the use of LLMs has garnered significant attention in recent research for recommender systems.

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AI AI Natural Language Processing ML 114

Hacker News

DECEMBER 21, 2023

But his concept has evolved. Unless they go into these product categories, it won’t have much climate-mitigation benefits.” But the seaweed industry is collapsing as climate change warms the upper layers of the ocean, preventing nutrient-rich waters from rising from the depths.

Computer Science 169

Computer Science Computer Science 169

Becoming Human

AUGUST 15, 2023

Instead, it is a fundamental tool for classification tasks, helping us predict whether something belongs to one of two categories, like yes/no, true/false, or spam/not spam. In this blog, we will break down the concept of logistic regression and explain it as simply as possible. What is Logistic Regression?

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Science 52

Towards AI

JULY 17, 2023

Pyspark MLlib | Classification using Pyspark ML In the previous sections, we discussed about RDD, Dataframes, and Pyspark concepts. For a detailed tutorial about Pyspark, Pyspark RDD, and DataFrame concepts, Handling missing values, refer to the link below: Pyspark For Beginners PySpark is a Python API for Apache Spark.

ML 98

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Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Let’s explore this concept, the value it brings to your organization, and how it’s accomplished. What is Geo Addressing?

Big Data Analytics 59

Big Data Analytics Big Data Analytics Analytics Analytics 59

NYU Center for Data Science

AUGUST 21, 2023

When tested, GPT-4 (the LLM Chat GPT runs on) correctly identified one-third of the puzzles in one pattern category and only 3% of the puzzles in another.

AI 72

AI AI Data Science Computer Science 72

Google Research AI blog

OCTOBER 25, 2022

Posted by Rodrigo Benenson, Research Scientist, Google Research Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. By focusing on point labels, we expanded the number of images annotated and categories covered. We collected a total of 38.6M new point annotations (12.4M

ML 52

ML ML Machine Learning Machine Learning 52

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

AI 98

AI AI Machine Learning Machine Learning 98

Dataconomy

JULY 25, 2023

Fitness trackers, a popular category of wearable computers, were first introduced in the early 2000s, with the Fitbit being one of the pioneering brands ( Image Credit ) What is a wearable computer? In today’s rapidly advancing technological landscape, the concept of wearable computers has become increasingly prominent.

Internet of Things 91

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phData

AUGUST 9, 2023

The visual ease of the box grid makes it easy for anyone new to the concept to catch on. 9 Box Grid Analysis It is divided into three categories: High, Medium, and Low, which splits and plots the dimension across 9 key data points. For example, there are two products in the High-Sales and High-Profit Ratio category.

Tableau 52

Tableau Data Analyst 52

Smart Data Collective

AUGUST 9, 2022

Developers should look closely at the data and its use and determine the correct category for the data. Taking more time with data categories will result in a slow and critical look at companies’ data risk. Proper data categorization is one of the critical aspects of data security in agile development. Security by default and design.

Big Data 113

Big Data Big Data Azure Analytics 113

Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Let’s explore this concept, the value it brings to your organization, and how it’s accomplished. What is Geo Addressing?

Big Data Analytics 52

Big Data Analytics Big Data Analytics Analytics Analytics 52

Flipboard

MAY 31, 2023

It assigns AI applications to three risk categories: Those that create unacceptable risk would be banned, high-risk applications would be tightly regulated, and applications deemed to pose few if any risks would be left unregulated. The European Union is ahead of the rest of the world with its proposed Artificial Intelligence Act.

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ODSC - Open Data Science

NOVEMBER 30, 2023

Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023 Sessions to Watch Feature Store Architecture and How to Build One Learn about the Feature Store Architecture and dive deep into advanced concepts and best practices for building a feature store.

Predictive Analytics 98

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Tableau

DECEMBER 5, 2022

It is often used to reduce continuous data into more manageable discrete categories, preserve data privacy through aggregation, generate histograms, or create breaks for ordinal color scales. December 9, 2022. Binning is a technique applied to categorize data values or to see distributions of data. Recommending bin breaks.

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