Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. As Data scientists, we may understand the algorithm & statistical methods used behind the scene. […].

ML 290

ML Data Scientist Machine Learning Data Science 290

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Unite.AI

DECEMBER 11, 2024

million since its launch in 2021, fueling a radical new approach to delivering scalable, outcome-driven AI solutions without requiring armies of in-house data scientists and engineers. RapidCanvas fills this gap by enabling business users to build, deploy, and maintain AI solutions without specialized data science backgrounds.

Data Scientist 130

Data Scientist Data Science Automation Explainability 130

IBM Journey to AI blog

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Data Scientist 145

Data Scientist ML Explainability Artificial Intelligence 145

Marktechpost

APRIL 29, 2024

Acquiring skills in data science enables professionals to unlock new opportunities for innovation and gain a competitive edge in today’s digital age. This article lists the top data science courses one should take to master the necessary skills and meet the growing demand for data expertise in various industries.

Data Science 127

Data Science Data Scientist Python Machine Learning 127

ODSC - Open Data Science

MARCH 7, 2025

In the fast-moving world of AI and data science, high-quality financial datasets are essential for building effective models. Whether its algorithmic trading , risk assessment, fraud detection , credit scoring, or market analysis, the accuracy and depth of financial data can make or break an AI-driven solution.

Data Science 52

Data Science ESG Algorithm Data Scientist 52

Flipboard

AUGUST 1, 2023

There are thousands of articles explaining the differences between data scientist and machine learning engineer. Data science gets broken down even …

Data Scientist 123

Data Scientist Machine Learning Data Science Explainability 123

Analytics Vidhya

AUGUST 13, 2024

It explains how these plots can reveal patterns in data, making them useful for data scientists and machine learning practitioners. Introduction This article explores violin plots, a powerful visualization tool that combines box plots with density plots.

Data Scientist 287

Data Scientist Machine Learning Explainability Data Analysis 287

Marktechpost

MARCH 31, 2024

As we enter 2024, the field of data science continues to evolve rapidly, making it essential to stay updated with the latest knowledge and trends. Practical Statistics for Data Scientists This is a beginner-friendly book that covers the statistical concepts that are essential for the field of data science.

Data Science 120

Data Science Data Mining Machine Learning Neural Network 120

Towards AI

FEBRUARY 18, 2024

Trying out the agents to do data scientist activityImage generated by DALL-E 3 LLM-based Agents or LLM Agents are agent structures that could execute complex tasks with LLM applications that have an architecture that combines LLMs with components like planning and memory. So, let’s get into it.

Data Science 119

Data Science LLM Data Scientist Explainability 119

Towards AI

FEBRUARY 10, 2024

These will increase your chances of landing that first Data Scientist role!Image Nowadays, many people want to be a data scientist. In this article, I want to explain to you several ways you can make your data science application stand out to employers and interviewers. Image created by author.

Data Science 111

Data Science Data Scientist Machine Learning Algorithm 111

AWS Machine Learning Blog

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

Data Science 133

Data Science Data Drift DevOps Auto-complete 133

DataRobot Blog

MARCH 16, 2023

Traditionally, developing appropriate data science code and interpreting the results to solve a use-case is manually done by data scientists. The integration allows you to generate intelligent data science code that reflects your use case. Data scientists still need to review and evaluate these results.

Data Science 98

Data Science OpenAI Data Scientist Large Language Models 98

ODSC - Open Data Science

APRIL 19, 2023

Being a data scientist, as it turns out, is a lot more complicated than you and I had realized back when we were first taking courses in machine learning and programming. And they’ve lamented the difficulty of hiring a data scientist who can produce business value and work well with colleagues.

Data Scientist 84

Data Scientist Data Science Machine Learning Explainability 84

ODSC - Open Data Science

NOVEMBER 30, 2023

Explainable AI might be the solution everyone needs to develop a healthier, more trusting relationship with technology while expediting essential medical care in a highly demanding world. What Is Explainable AI? Explainable AI (XAI) refers to AI that explains how, where, and why it produces decisions.

Explainable AI 94

Explainable AI Explainability Data Scientist Data Mining 94

Artificial Corner

JANUARY 23, 2025

This is what I did when I started learning Python for data science. I checked the curriculum of paid data science courses and then searched all the stuff related to Python. I selected the best 4 free courses I took to learn Python for data science. All of this makes learning TensowFlow easier.

Data Science 95

Data Science Python Convolutional Neural Networks Natural Language Processing 95

Marktechpost

JULY 21, 2023

The software can explain, translate, summarize, or rewrite Any piece of writing. The software can explain, translate, summarize, or rewrite Any piece of writing. Having a tool that can help comprehend complicated data is vital in the convoluted realm of scientific study. Sider Chrome Extension Excellent for dealing with text.

Data Scientist 98

Data Scientist Neural Network Machine Learning Explainability 98

ODSC - Open Data Science

MARCH 10, 2025

AI and data science are advancing at a lightning-fast pace with new skills and applications popping up left and right. Perfect for developers and data scientists looking to push the boundaries of AI-powered assistants. Explainability is essential for building trustworthy AI, especially in high-stakes applications.

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 52

Towards AI

JULY 17, 2023

Table of Contents: Top highlight Data science is a rapidly growing field that involves the extraction of valuable insights from large and complex data sets. As more and more companies adopt data-driven decision-making strategies, the demand for skilled data scientists is increasing.

Data Science 89

Data Science Data Scientist Explainability AI 89

Marktechpost

APRIL 7, 2024

Introducing MLOps This book introduces the fundamentals of MLOps to help data scientists operationalize machine learning models. The book also teaches how to design MLOps life cycle to ensure that the models are unbiased, fair, and explainable. This book is ideal for data scientists deploying ML solutions on Azure.

Machine Learning 144

Machine Learning Data Science Explainability Data Scientist 144

NVIDIA

JULY 22, 2024

“The new trend in LLM competitions is that they don’t give you training data,” said Deotte, a senior data scientist at NVIDIA. Deotte explained that the NVIDIA team generated a variety of questions by writing some themselves, using a large language model to create others, and transforming existing e-commerce datasets.

Data Science 110

Data Science Large Language Models Data Mining Data Scientist 110

NYU Center for Data Science

DECEMBER 21, 2023

Pioneering the Beat: CDS’ Data Science Innovators Decode Music Perception at Neuroscience Conference The essence of music’s allure may finally be deciphered, not by musicians, but by data scientists. Imagine a world where music streaming services know exactly what you want to hear before you do.

Data Science 96

Data Science Data Scientist Data Analysis Explainability 96

Unite.AI

APRIL 9, 2024

Key benefits include: reducing the necessity of large data science teams. The Need for Explainability The demand for Explainable AI arises from the opacity of AI systems, which creates a significant trust gap between users and these algorithms. Explainability is essential for accountability, fairness, and user confidence.

Composite AI 182

Composite AI Explainability Black Box AI Explainable AI 182

Towards AI

APRIL 10, 2024

There are so many different data- and machine-learning-related jobs. But what actually are the differences between a Data Engineer, Data Scientist, ML Engineer, Research Engineer, Research Scientist, or an Applied Scientist?!

ML Engineer 111

ML Engineer ML Explainability Machine Learning 111

Towards AI

DECEMBER 12, 2024

I will definitely explain to you why these are hidden, the value of using these charts, and the insights. Along the way, Ill explain why these tricks are hidden, what value they bring, and how they unlock insights that simpler visuals just cant deliver.

Data Scientist 105

Data Scientist Explainability Machine Learning AI 105

ODSC - Open Data Science

MARCH 21, 2023

The following examples will explain how AI and coders can co-exist by enhancing the coder’s abilities. There, you’ll experience the best in artificial intelligence, the latest advancements in data science, and meet with thousands of experts from across the globe. But for many who know, this couldn’t be further from the truth.

Data Scientist 98

Data Scientist AI Tools Data Science Machine Learning 98

Towards AI

AUGUST 27, 2023

Photo by James Yarema on Unsplash The normal distribution is a household name, particularly in the fields of data science and machine learning. It has applications in a wide range of industries, from Biology to Finance, therefore, it’s a very useful concept for Data Scientists to understand.

Explainability 98

Explainability Data Scientist Data Science Machine Learning 98

Towards AI

DECEMBER 12, 2024

I will definitely explain to you why these are hidden, the value of using these charts, and the insights. Along the way, Ill explain why these tricks are hidden, what value they bring, and how they unlock insights that simpler visuals just cant deliver.

Data Scientist 104

Data Scientist Explainability Machine Learning AI 104

Towards AI

FEBRUARY 2, 2024

Now Let’s get into the context of the article and we will try to know what concepts a data scientist should be aware. Statistics: It is the study of collecting, analyzing, and interpreting data to find patterns and make sense of information. This value is affected by each value in the data set, including extreme values.

Data Scientist 115

Data Scientist Data Analysis Explainability AI 115

IBM Journey to AI blog

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. Watsonx, IBM’s next-generation AI platform, is designed to do just that. Watsonx.ai Watsonx.ai

Data Scientist 276

Data Scientist Machine Learning Automation Metadata 276

AWS Machine Learning Blog

JANUARY 31, 2025

By providing the FM with examples and other prompting techniques, we were able to significantly reduce the variance in the structure and content of the FM output, leading to explainable, predictable, and repeatable results. George Lee is AVP, Data Science & Generative AI Lead for International at Travelers Insurance.

Prompt Engineer 87

Prompt Engineer Prompt Engineering Data Scientist Large Language Models 87

Heartbeat

FEBRUARY 13, 2023

It is designed to make it easy to track and monitor experiments and conduct exploratory data analysis (EDA) using popular Python visualization frameworks. The integration of these frameworks allows Comet users to quickly and easily gain insights from their data, making it an essential tool for data scientists and machine-learning engineers.

Data Science 94

Data Science Python Deep Learning Machine Learning 94

Towards AI

DECEMBER 12, 2024

I will definitely explain to you why these are hidden, the value of using these charts, and the insights. Along the way, Ill explain why these tricks are hidden, what value they bring, and how they unlock insights that simpler visuals just cant deliver.

Data Scientist 98

Data Scientist Explainability Machine Learning AI 98

Towards AI

DECEMBER 12, 2024

I will definitely explain to you why these are hidden, the value of using these charts, and the insights. Along the way, Ill explain why these tricks are hidden, what value they bring, and how they unlock insights that simpler visuals just cant deliver.

Data Scientist 98

Data Scientist Explainability Machine Learning AI 98

Towards AI

DECEMBER 12, 2024

I will definitely explain to you why these are hidden, the value of using these charts, and the insights. Along the way, Ill explain why these tricks are hidden, what value they bring, and how they unlock insights that simpler visuals just cant deliver.

Data Scientist 98

Data Scientist Explainability Machine Learning AI 98