Unite.AI

DECEMBER 23, 2024

These agents use Natural Language Processing (NLP) to communicate with customers conversationally, offering instant responses and reducing the need for human intervention. SageMaker, for example, is a robust platform that allows developers and data scientists to create tailored AI models for specific business needs.

Automation 162

Automation Data Scientist AI AI 162

Artificial Corner

AUGUST 29, 2023

This time, I embarked on a Data Science journey with British Airways (BA). As a data scientist at BA, our job will be to apply our data analysis and machine learning skills to derive insights that help BA drive revenue upwards. This is a perfect way to showcase your skills and build up your portfolio! Connect with me!

Natural Language Processing 97

Natural Language Processing Machine Learning Data Analysis Data Science 97

Marktechpost

OCTOBER 28, 2024

By inputting different prompts, users can observe the model’s ability to generate human-quality text, translate languages, write various kinds of creative content, and answer your questions in an informative way. This platform provides a valuable opportunity to understand the potential of AI in natural language processing.

Neural Network 109

Neural Network Natural Language Processing Deep Learning Machine Learning 109

Analytics Vidhya

JULY 29, 2019

Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used. The post Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python appeared first on Analytics Vidhya.

Python 307

Python Data Scientist Natural Language Processing NLP 307

Unite.AI

OCTOBER 6, 2023

Celina Lee is the CEO and co-founder of Zindi , the largest professional network for data scientists in Africa. Celina has a passion for unleashing the power of data for social good. What are some of the unique challenges of implementing data science and machine learning solutions in Africa? The list goes on!

Data Scientist 289

Data Scientist Data Science Machine Learning Natural Language Processing 289

Analytics Vidhya

APRIL 21, 2019

The data scientist in me started. Introduction I was intrigued going through this amazing article on building a multi-label image classification model last week. The post Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification appeared first on Analytics Vidhya.

NLP 303

NLP Data Scientist Natural Language Processing Python 303

Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. This family of LLMs offers enhanced performance across a wide range of tasks, from natural language processing to complex problem-solving.

Large Language Models 304

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

Towards AI

JULY 18, 2023

Photo by Emily Morter from Unsplash To truly understand the type of measurement framework to implement for how to solicit feedback is to also humbly acknowledge as a data scientist the shortcomings and imprecise capabilities of natural language processing and machine learning.

Data Scientist 98

Data Scientist Natural Language Processing Machine Learning AI 98

AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

Neural Network 246

Neural Network Convolutional Neural Networks Natural Language Processing Robotics 246

AI News

JULY 28, 2023

According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years. Harnham’s report provides comprehensive insights into the salaries and day rates of various data science roles across the UK.

ML 246

ML Data Science ML Engineer Big Data 246

Flipboard

NOVEMBER 20, 2024

She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. Ishan Singh is a Generative AI Data Scientist at Amazon Web Services, where he helps customers build innovative and responsible generative AI solutions and products.

Metadata 160

Metadata LLM Natural Language Processing Generative AI 160

AI Weekly

OCTOBER 26, 2023

Vinovest’s experts and data scientists identify the casks with the strongest growth potential. Vinovest’s experts and data scientists identify the casks with the strongest growth potential. Try Vinovest, a whiskey (and wine) investing platform. They authenticate, insure, and store your casks on your behalf.

Neural Network 262

Neural Network Convolutional Neural Networks Robotics Deep Learning 262

AWS Machine Learning Blog

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. Chris Pecora is a Generative AI Data Scientist at Amazon Web Services.

Generative AI 111

Generative AI Metadata Data Scientist AI 111

Towards AI

NOVEMBER 6, 2024

The Challenge Legal texts are uniquely challenging for natural language processing (NLP) due to their specialized vocabulary, intricate syntax, and the critical importance of context. Terms that appear similar in general language can have vastly different meanings in legal contexts.

BERT 111

BERT Automation NLP Data Analysis 111

IBM Journey to AI blog

MAY 21, 2024

But for a football scout, it’s the daily lexicon of the job, representing crucial language that helps assess a player’s value to a team. But when it came to the massive amount of data collected by scouters, the department knew it had a challenge that would take a reliable partner.

NLP 211

NLP Natural Language Processing Explainability Data Scientist 211

AWS Machine Learning Blog

JANUARY 22, 2025

Converting free text to a structured query of event and time filters is a complex natural language processing (NLP) task that can be accomplished using FMs. Daniel Pienica is a Data Scientist at Cato Networks with a strong passion for large language models (LLMs) and machine learning (ML).

Prompt Engineer 111

Prompt Engineer Prompt Engineering Natural Language Processing Machine Learning 111

AWS Machine Learning Blog

MARCH 21, 2025

The following is an example of how you can obtain metadata of the charts and graphs using simple natural language conversation with models. We provide the following request: sample_prompt = f""" You are a data scientist expert who has perfect vision and pay a lot of attention to details. We use the following graph.

Metadata 116

Metadata Convolutional Neural Networks Generative AI Data Scientist 116

Unite.AI

JUNE 11, 2024

The LightAutoML framework is deployed across various applications, and the results demonstrated superior performance, comparable to the level of data scientists, even while building high-quality machine learning models. Finally, the CV Preset works with image data with the help of some basic tools.

Auto-classification 263

Auto-classification Machine Learning Data Scientist Metadata 263

Unite.AI

OCTOBER 31, 2024

Authenticx addresses this gap by utilizing AI and natural language processing to analyze recorded interactions—such as calls, emails, and chats—providing healthcare organizations with actionable insights to make better business decisions. Our built-in workflows allow users to respond timely.

Natural Language Processing 130

Natural Language Processing Machine Learning AI Modeling Data Scientist 130

AWS Machine Learning Blog

NOVEMBER 29, 2024

22.03% The consistent improvements across different tasks highlight the robustness and effectiveness of Prompt Optimization in enhancing prompt performance for various natural language processing (NLP) tasks. Chris Pecora is a Generative AI Data Scientist at Amazon Web Services.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering Data Scientist 129

IBM Journey to AI blog

AUGUST 12, 2024

It helps companies streamline and automate the end-to-end ML lifecycle, which includes data collection, model creation (built on data sources from the software development lifecycle), model deployment, model orchestration, health monitoring and data governance processes.

Big Data 266

Big Data DevOps Automation Machine Learning 266

IBM Journey to AI blog

SEPTEMBER 20, 2023

While that can mean hiring new talent like data scientists and software programmers, it should also mean providing existing workers with the training they need to manage AI-related projects. At all levels of governments, from national entities to local governments, public employees must be ready for this new AI era.

Generative AI 307

Generative AI AI AI Explainability 307

Unite.AI

MARCH 27, 2024

Moreover, breakthroughs in natural language processing (NLP) and computer vision have transformed human-computer interaction and empowered AI to discern faces, objects, and scenes with unprecedented accuracy. Recently, AI has permeated every facet of human life, optimizing healthcare, finance, entertainment, and more processes.

Natural Language Processing 278

Natural Language Processing AI AI Algorithm 278

AWS Machine Learning Blog

JANUARY 29, 2025

Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps. Ishan Singh is a Generative AI Data Scientist at Amazon Web Services, where he helps customers build innovative and responsible generative AI solutions and products.

Auto-complete 130

Auto-complete Generative AI Data Scientist ML 130

IBM Journey to AI blog

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Data Scientist 240

Data Scientist Automation Machine Learning Chatbots 240

AWS Machine Learning Blog

DECEMBER 12, 2024

The higher-level abstracted layer is designed for data scientists with limited AWS expertise, offering a simplified interface that hides complex infrastructure details. Data scientists can also seamlessly transition from local training to remote training and training on multiple nodes using the ModelTrainer.

ML 88

ML Python Data Scientist Natural Language Processing 88

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. the target or outcome variable is known).

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Marktechpost

MARCH 24, 2024

Artificial intelligence’s application is revolutionizing technology in fields like NLP (Natural Language Processing) and ML (Machine Learning). Traditional tools, like Jupyter Notebooks, can be difficult and intimidating to people new to data research.

Data Scientist 130

Data Scientist Natural Language Processing Artificial Intelligence Artificial Intelligence 130

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

Data Scientist 52

Data Scientist Data Science Machine Learning Data Analysis 52

Great Learning

SEPTEMBER 6, 2023

Natural Language Processing helps machines understand and analyze natural languages. NLP is an automated process that helps extract the required information from data by applying machine learning algorithms.

NLP 98

NLP Natural Language Processing Data Scientist Machine Learning 98

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy.

Generative AI 176

Generative AI Data Scientist Machine Learning BERT 176

Towards AI

NOVEMBER 15, 2023

LLMs, Chatbots medium.com Models A model in LangChain refers to any language model, like OpenAI’s text-davinci-003/gpt-3.5-turbo/4/4-turbo, which can be used for various natural language processing tasks. All You Need to Know About (Large Language) Models This is part 2ab of the LangChain 101 course.

Data Scientist 131

Data Scientist Data Science Large Language Models Data Analysis 131

IBM Journey to AI blog

AUGUST 11, 2023

Because the machine learning lifecycle has many complex components that reach across multiple teams, it requires close-knit collaboration to ensure that hand-offs occur efficiently, from data preparation and model training to model deployment and monitoring. Generative AI relies on foundation models to create a scalable process.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Artificial Corner

JANUARY 23, 2025

It starts with the most popular data collection technique that data scientists use to build datasets — web scraping. Then you will learn data analysis libraries such as Pandas, Numpy, Matplotlib, and Scikit-learn. Data scientists use NLP techniques to interpret text data for analysis.

Data Science 95

Data Science Python Convolutional Neural Networks Natural Language Processing 95

IBM Journey to AI blog

DECEMBER 20, 2023

Steps for building a successful AI strategy The following steps are commonly used to help craft an effective artificial intelligence strategy: Explore the technology Gain an understanding of various AI technologies, including generative AI , machine learning (ML), natural language processing, computer vision, etc.

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence Machine Learning 224

AWS Machine Learning Blog

AUGUST 5, 2024

The solution simplifies the setup process, allowing you to quickly deploy and start querying your data using the selected FM. About the Authors Sandeep Singh is a Senior Generative AI Data Scientist at Amazon Web Services, helping businesses innovate with generative AI. Please share your feedback to us!

Natural Language Processing 126

Natural Language Processing Automation Machine Learning Generative AI 126

IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training. IBM watsonx.ai Explore watsonx.ai

Artificial Intelligence 209

Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 209