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.

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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.

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Data Science Data Scientist Python Machine Learning 126

AI News

NOVEMBER 13, 2024

Business Analyst: Digital Director for AI and Data Science Business Analyst: Digital Director for AI and Data Science is a course designed for business analysts and professionals explaining how to define requirements for data science and artificial intelligence projects.

Prompt Engineering 267

Prompt Engineering Prompt Engineer Artificial Intelligence Artificial Intelligence 267

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. […].

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ML Data Scientist Machine Learning Explainability 239

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.

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Data Science Data Mining Neural Network Machine Learning 119

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 …

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Data Scientist Machine Learning Data Science Explainability 123

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

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.

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Data Science Data Drift DevOps Auto-complete 126

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.

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Data Scientist Machine Learning Explainability Data Analysis 218

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.

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Data Science Data Scientist Machine Learning Algorithm 89

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.

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Data Science OpenAI Data Scientist Large Language Models 98

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.

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Explainable AI Explainability Data Scientist Data Mining 94

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.

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Data Scientist Data Science Machine Learning Explainability 84

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.

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Data Scientist Neural Network Machine Learning Explainability 98

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.

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Machine Learning Data Science Explainability Data Scientist 144

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.

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Composite AI Explainability Black Box AI Explainable AI 179

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.

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Data Scientist Data Science Automation Explainability 130

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.

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Data Scientist AI Tools Data Science OpenAI 98

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

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Data Scientist Machine Learning Automation AI 276

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.

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Data Science Python Deep Learning Data Scientist 94

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 79

Data Science Data Scientist Data Analysis Explainability 79

Pickl AI

DECEMBER 27, 2023

Unlock the potential of A/B testing in data science for evidence-based decisions. A/B Testing for Data Science A/B testing is a cornerstone for making informed decisions and optimizing outcomes. This comprehensive guide is tailored for Data Scientists and offers insights into the intricacies of A/B testing using Python.

Data Scientist 52

Data Scientist Data Science Python Data Analysis 52

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?!

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ML Engineer ML Explainability Machine Learning 90

Pickl AI

JULY 2, 2024

Summary: Demystify time complexity, the secret weapon for Data Scientists. Explore practical examples, tools, and future trends to conquer big data challenges. Introduction to Time Complexity for Data Scientists Time complexity refers to how the execution time of an algorithm scales in relation to the size of the input data.

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Data Scientist Data Science Algorithm Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

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Machine Learning DevOps Data Scientist Data Quality 126

Unite.AI

JULY 3, 2024

Can you explain the vision behind TileDB and how it aims to revolutionize the modern database landscape? The problem is that complex data that is not naturally represented as tables is considered as “unstructured,” and is typically either stored as flat files in bespoke data formats, or managed by disparate, purpose-built databases.

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Data Scientist Large Language Models Big Data Machine Learning 179

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. Data Visualization: Ability to create compelling visualisations to communicate insights effectively.

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Data Scientist Data Science Machine Learning Data Analysis 52

Pickl AI

DECEMBER 10, 2024

Summary: Discover the best Data Science books for beginners that simplify Python, statistics, and Machine Learning concepts. Paired with structured learning plans and online communities, they help build foundational skills and confidence for a successful journey into Data Science.

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Data Science Python Data Analysis Machine Learning 52

Pickl AI

MAY 29, 2024

Summary: Data Science is becoming a popular career choice. Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation.

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Data Scientist Data Mining Data Science Machine Learning 52

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.

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Data Scientist Explainability Machine Learning AI 74

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.

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Data Scientist Data Analysis Explainability AI 84

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

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Machine Learning Automation AI AI 225

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 72

Data Scientist Explainability Machine Learning AI 72

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 82

Data Science Large Language Models Data Mining Data Scientist 82

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 72

Data Scientist Explainability Machine Learning AI 72

Pickl AI

JUNE 9, 2024

Summary: Mastering mathematics is crucial for excelling in Data Science. Introduction Mathematics plays a pivotal role in Data Science. The foundation of the Data Science field rests upon the bedrock of mathematical principles. Essential topics include statistics, linear algebra, calculus, and probability.

Data Science 52

Data Science Data Scientist Machine Learning Neural Network 52

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 71

Data Scientist Explainability Machine Learning AI 71