Analytics Vidhya

JANUARY 13, 2023

This article was published as a part of the Data Science Blogathon. Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced.

Machine Learning 333

Machine Learning Data Science Data Analysis Python 333

Marktechpost

APRIL 29, 2024

meticulously crafted multiple-choice questions covering three broad categories: charts, Maps, and Webs, encompassing diverse real-world scenarios. SEED-Bench-2-Plus presents a comprehensive benchmark comprising 2K multiple-choice questions across three main categories: Charts, Maps, and Webs. It consists of 2.3K

Large Language Models 125

Large Language Models ML AI AI 125

Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Here there are two categories […]. Introduction In this article, we will see how to build an application that can recognize digits that are written by hand. The application will recognize our handwriting.

Data Science 351

Data Science Python 351

Marktechpost

APRIL 6, 2024

This disjointed approach limits developers’ ability to design efficient and tailored models to the unique data structures they process. They have proposed a solution grounded in category theory, aiming to create a more integrated and coherent methodology for neural network design.

Neural Network 139

Neural Network Deep Learning ML AI 139

Analytics Vidhya

APRIL 6, 2022

Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process.

Data Analysis 319

Data Analysis Python Machine Learning Data Science 319

Analytics Vidhya

JULY 12, 2023

One often encounters datasets with categorical variables in data analysis and machine learning. By transforming category data into numerical labels, label encoding enables us to use them in various algorithms. […] The post How to Perform Label Encoding in Python? This is where label encoding comes into play.

Python 214

Python Categorization Machine Learning Data Analysis 214

Analytics Vidhya

MAY 19, 2023

Statistics involves gathering and organizing raw data into an easily understandable format. This field of mathematics helps analyze data and apply the findings to address various data-related issues. There are two broad categories of statistical methods: descriptive and inferential statistics.

Explainability 222

Explainability Data Analysis 222

Analytics Vidhya

DECEMBER 21, 2021

This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories.

Convolutional Neural Networks 367

Convolutional Neural Networks Neural Network Natural Language Processing NLP 367

Analytics Vidhya

SEPTEMBER 9, 2020

In this article, we bust 11 common myths people have about data science. We have divided the myths into career, tools and role related categories. 11 Data Science Myths You Should Avoid at All Costs appeared first on Analytics Vidhya. The post Busted!

Data Science 399

Data Science 399

Analytics Vidhya

FEBRUARY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data.

Natural Language Processing 283

Natural Language Processing Data Science NLP Python 283

Analytics Vidhya

APRIL 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. SUPERVISED LEARNING Before making you understand the broad category of. The post Understanding Supervised and Unsupervised Learning appeared first on Analytics Vidhya.

Data Science 358

Data Science Machine Learning 358

AI News

APRIL 9, 2024

Gemma, and Mistral, Stable LM 2 12B offers solid results when tested on zero-shot and few-shot tasks across general benchmarks outlined in the Open LLM leaderboard: With this new release, Stability AI extends the StableLM 2 family into the 12B category, providing an open and transparent model without compromising power and accuracy.

Big Data 261

Big Data AI AI LLM 261

Analytics Vidhya

JUNE 19, 2022

This article was published as a part of the Data Science Blogathon. Azure provides different categories of cloud services such as infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless. Introduction on Microsoft Azure Microsoft Azure is a public cloud computing platform.

Data Science 282

Data Science 282

Aiiot Talk

MARCH 20, 2024

Preprocessing your data is like laying down the foundation for a house. This crucial step involves cleaning and organizing your data and preparing it for your machine-learning models. What Is Data Preprocessing? Data preprocessing prepares your data before feeding it into your machine-learning models.”

Machine Learning 214

Machine Learning Categorization Artificial Intelligence Artificial Intelligence 214

IBM Journey to AI blog

JANUARY 22, 2024

The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. Any company operating in the EU or handling EU residents’ data must adhere to GDPR requirements. The company processes data on behalf of a company based in the EEA.

Automation 221

Automation Explainability 221

Unite.AI

AUGUST 30, 2023

Compete in a product category that is AI-native One strategy for AI startups to win against Big Tech is to focus on product categories that are AI-native. Product categories that can truly embrace generative AI-native innovation are data-driven, and cater to a wide range of specialized use cases. What does this mean?

AI 182

AI AI OpenAI Generative AI 182

Analytics Vidhya

OCTOBER 26, 2021

This article was published as a part of the Data Science Blogathon Introduction Quite often we have a requirement to visualize categorical data in a dataset. The post How To Build A Treemap In 3 Ways Using Python appeared first on Analytics Vidhya.

Python 259

Python Categorization Data Science 259

Unite.AI

APRIL 30, 2024

Currently, I’m focused on leading our data strategy and finding ways to create synergies between our products and the data they hold, to better understand trends. With this, I’m also working on our global artificial intelligence (AI) strategy to inform this data access and utilization across the ecosystem.

LLM 147

LLM Large Language Models ML Artificial Intelligence 147

Flipboard

SEPTEMBER 13, 2023

In which categories do incumbents dominate—and where are new companies breaking out? To begin to answer these questions, we looked at SimilarWeb traffic data (as of June 2023) to rank the top 50 GenAI web products by monthly visits. Excluding ChatGPT (which skews the data given OpenAI’s $11.3 Who might be the next “big winner”?

Generative AI 181

Generative AI ChatGPT AI AI 181

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction Consider the following scenario: you are a product manager who wants to categorize customer feedback into two categories: favorable and unfavorable. The post Implementation of Gaussian Naive Bayes in Python Sklearn appeared first on Analytics Vidhya.

Python 282

Python Categorization Data Science Machine Learning 282

Towards AI

APRIL 8, 2024

Why are joint PMFs of multiple random variables important in data science? In Bayesian statistics, joint PMFs are crucial for computing posterior probabilities and updating the probability of hypotheses based on the observed data. What is a Joint Probability table? div(len(df)).unstack(fill_value=0)df_joint_pmf div(len(df)).unstack(fill_value=0)df_joint_pmf

Data Science 83

Data Science Machine Learning ChatGPT Data Analysis 83

IBM Journey to AI blog

FEBRUARY 2, 2024

Not an easy task when you need to celebrate the achievements and stories of more than 1,000 nominees across nearly 100 categories. A generative AI content engine fueled by trusted data This year’s solution uses watsonx to leverage a powerful large language model (LLM) hosted in the watsonx.ai

Large Language Models 154

Large Language Models Generative AI Responsible AI LLM 154

Analytics Vidhya

AUGUST 13, 2022

This article was published as a part of the Data Science Blogathon. The first task you do with each ticket is to classify it into one of the categories you […]. Introduction Suppose you are working in an IT firm as a support desk specialist and receive hundreds of support tickets you have to handle daily.

Data Science 220

Data Science NLP Python Machine Learning 220

IBM Journey to AI blog

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Irish regulators hit Meta with a EUR 1.2 billion fine in 2023.

Automation 207

Automation Explainability OpenAI ChatGPT 207

Marktechpost

MAY 6, 2024

This feature cache was then leveraged to adapt the model for downstream tasks with limited data. The retrieval method gave the model valuable context, enabling it to handle the unique challenges of fine-grained visual categories in these datasets. Check out the Paper.

Convolutional Neural Networks 120

Convolutional Neural Networks Neural Network Computer Vision Robotics 120

Towards AI

JANUARY 28, 2024

Furthermore, modularity also allows the combination of models with multiple pre-processing steps to create a pipeline that processes data to features that are then fed to the model. Labeling The dataset contains continuous prices that are converted into categories with respect to the provided thresholds.

Auto-classification 97

Auto-classification AI AI Machine Learning 97

Analytics Vidhya

JULY 1, 2022

This article was published as a part of the Data Science Blogathon. This is an extensive article on sentiment analysis where our task will be to classify a set of tweets into two categories: racist/sexist non-racist/sexist What is Sentiment Analysis? Sentiment analysis (also […].

Data Science 211

Data Science NLP 211

Analytics Vidhya

MARCH 20, 2022

This article was published as a part of the Data Science Blogathon. Audio classification is an Application of machine learning where different sound is categorized in certain categories. Hello, and welcome to a wonderful article on audio classification.

Machine Learning 228

Machine Learning Categorization Data Science Python 228

AI News

APRIL 24, 2024

“What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

Big Data 251

Big Data Large Language Models AI Modeling Generative AI 251

Unite.AI

MARCH 28, 2024

By harnessing vast amounts of data generated throughout the production lifecycle, AI algorithms can uncover insights, predict outcomes, and optimize operations with unprecedented precision. The use of data isn’t enough to power this evolution, and manufacturers are also realizing the importance of bridging the physical and digital worlds.

Robotics 333

Robotics Natural Language Processing Artificial Intelligence Artificial Intelligence 333

NVIDIA

MAY 1, 2024

Niewinski won first place in the generative AI applications category for his innovative robot based on the GLaDOS guide from game series Portal , the first-person puzzle platform from video game developer Valve. He used AI models such as YOLOv5, SAM and OpenPose to extract and refine data from images and videos.

Robotics 96

Robotics Generative AI AI AI 96

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Usually, it is done to classify named entities mentioned in unstructured text into predefined categories. in a sentence. Named Entity Recognition(NER) has many […].

Data Science 222

Data Science NLP Python 222

Analytics Vidhya

FEBRUARY 22, 2022

This article was published as a part of the Data Science Blogathon. Classification is a kind of technique where we classify the outcome into distinct categories whose range is usually finite. Introduction Every supervised machine learning technique basically solves either classification or regression problems.

Neural Network 210

Neural Network Machine Learning Data Science Deep Learning 210

Analytics Vidhya

OCTOBER 2, 2019

Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.

Data Science 290

Data Science Big Data Computer Vision NLP 290

Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. To build a well-documented ML pipeline, data traceability is crucial.

Machine Learning 136

Machine Learning Explainability Categorization ETL 136

Unite.AI

JANUARY 22, 2024

Tellme Networks is a forerunner for what we see in AI platforms today, combining the machine learning models of speech, large data sets to help train and tune those engines, and consumer design to help users delight in using these powerful technologies. We brainstormed how we could enable new experiences in this new category.

AI 317

AI AI Generative AI Machine Learning 317