Analytics Vidhya

FEBRUARY 6, 2020

The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is. The post Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Data Scientist Explainability 400

Analytics Vidhya

JUNE 23, 2022

He is working as a Senior Data Scientist with the IT consulting and solutions firm Careem. He has more than ten years of extensive experience in the field of analytics and data science. He will be explaining […].

Neural Network 357

Neural Network Data Scientist Data Science Explainability 357

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

Analytics Vidhya

MAY 5, 2019

” This question has sent many data scientists into a tizzy. It’s easy to explain how. Introduction “How did your neural network produce this result?” The post A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization appeared first on Analytics Vidhya.

Convolutional Neural Networks 305

Convolutional Neural Networks Neural Network Data Scientist Explainability 305

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

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

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

Unite.AI

JANUARY 30, 2025

Can you explain the core concept and what motivated you to tackle this specific challenge in AI and data analytics? In 2021, despite the fact that generative AI semantic models have existed since 2017, and graph neural nets have existed for even longer, it was a tough task to explain to VCs why we need automated context and reasoning.

Automation 144

Automation Metadata Explainability Data Scientist 144

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 meets Fortune 50grade standards, providing robust privacy, explainability, and data governance measures.

Data Scientist 130

Data Scientist Data Science Automation Explainability 130

Marktechpost

APRIL 24, 2024

Explainable AI (XAI) aims to balance model explainability with high learning performance, fostering human understanding, trust, and effective management of AI partners. ELI5 is a Python package that helps debug machine learning classifiers and explain their predictions. MAIF Data Scientists developed Shapash.

Explainable AI 114

Explainable AI Explainability Neural Network Data Scientist 114

AI News

DECEMBER 19, 2023

Where [Kafka] falls down is in large-scale analytics,” explained Scott. While Kafka reliably transports high-volume data streams between applications and microservices, conducting complex analytical workloads directly on streaming data has historically been challenging.

Big Data 336

Big Data Explainability Data Scientist Data Quality 336

Flipboard

MARCH 17, 2023

That is not, of course, a particularly useful takeaway from Dice’s data. Perhaps of more interest is the fact that scrum masters are commanding higher pay than data scientists, and that cloud and cybersecurity engineers continue to hold solid spots in the top ranks. What Software Engineering Skills Do Employers Want You to Have?

Software Engineer 181

Software Engineer Explainability Data Scientist Artificial Intelligence 181

Unite.AI

JANUARY 20, 2025

This opacity can lead to outcomes that are difficult to explain, defend, or challengeraising concerns around bias, fairness, and accountability. Improves Accountability : Clear documentation of the data, algorithms, and decision-making process helps organizations spot and fix mistakes or biases. When AI is understood, its trusted.

Explainability 111

Explainability Explainable AI AI AI 111

Towards AI

FEBRUARY 25, 2025

When straightforward terms like performance, explainability, and risk carry such different meanings across teams, its no wonder some AI projects struggle to gain traction. Data scientists need domain experts to understand the problems theyre solving. Electricity mainly required engineers and operators to collaborate.

Data Scientist 88

Data Scientist AI AI Explainability 88

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

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

IBM Journey to AI blog

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Data Scientist 234

Data Scientist Metadata Explainability Responsible AI 234

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

JULY 24, 2024

Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI. Before we dive into the world of explainability in GenAI, it’s worth noting that the tone of this article, like its predecessor, is intentionally casual and approachable.

Explainability 105

Explainability Generative AI Explainable AI Neural Network 105

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

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

Flipboard

JANUARY 9, 2024

This post explains how data governance can help data scientists handle AI fatigue and build robust models.

Data Scientist 170

Data Scientist Explainability AI AI 170

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

Flipboard

MARCH 13, 2023

If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and …

Machine Learning 123

Machine Learning Explainability Data Scientist ML 123

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

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

JULY 24, 2024

Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI. Before we dive into the world of explainability in GenAI, it’s worth noting that the tone of this article, like its predecessor, is intentionally casual and approachable.

Explainability 98

Explainability Generative AI Explainable AI Neural Network 98

Unite.AI

APRIL 9, 2024

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. Explainability also aligns with business ethics and regulatory compliance.

Composite AI 176

Composite AI Explainability Neural Network Black Box AI 176

IBM Journey to AI blog

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

Generative AI 307

Generative AI AI AI Explainability 307

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. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

Unite.AI

JULY 21, 2023

along with the EU AI Act , support various principles such as accuracy, safety, non-discrimination, security, transparency, accountability, explainability, interpretability, and data privacy. Human element: Data scientists are vulnerable to perpetuating their own biases into models. Moreover, both the EU and the U.S.

Data Drift 241

Data Drift Large Language Models Algorithm Data Scientist 241

Snorkel AI

MARCH 26, 2025

AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. LLMs (and, therefore, LLM judges) inherit biases from their training data. Justification request : Explain why this response was rated higher. Data scientists should ask SMEs to label a small amount of ground truth.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

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

Towards AI

AUGUST 27, 2023

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. However, have you heard of the log-normal distribution? In this article, we will delve into the theory and applications of this distribution.

Explainability 98

Explainability Data Scientist Data Science Machine Learning 98