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.

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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.

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Data Science DevOps Machine Learning Data Scientist 188

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 118

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

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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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

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.

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Data Scientist Data Science Python Data Analysis 52

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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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

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

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.

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Data Science Data Scientist Neural Network Machine Learning 52

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 Explainability Machine Learning 84

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 274

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 […].

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Neural Network Data Scientist Data Science Explainability 352

Pickl AI

MARCH 10, 2023

Data Science is the process in which collecting, analysing and interpreting large volumes of data helps solve complex business problems. A Data Scientist is responsible for analysing and interpreting the data, ensuring it provides valuable insights that help in decision-making.

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Pickl AI

AUGUST 21, 2023

In a digital era fueled by data-driven decision-making, the role of a Data Scientist has become pivotal. With the 650% jump in the implementation of analytics, the role of Data Scientists is becoming profound. Companies are looking forward to hiring crème de la crème Data Scientists.

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Data Scientist Data Science Software Engineer Machine Learning 52

Pickl AI

OCTOBER 17, 2023

Learn how Data Scientists use ChatGPT, a potent OpenAI language model, to improve their operations. ChatGPT is essential in the domains of natural language processing, modeling, data analysis, data cleaning, and data visualization. It facilitates exploratory Data Analysis and provides quick insights.

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Data Scientist Machine Learning ChatGPT Data Analysis 52

Pickl AI

APRIL 28, 2023

With more than 650% growth since 2012, Data Science has emerged as one of the most sought-after technologies. With the new developments in this domain, Data Science presents a picture of futuristic technology. A Data Scientist’s average salary in India is up to₹ 8.0 Lakhs per annum.

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Data Scientist Data Science Big Data Data Analysis 52

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

Pickl AI

JANUARY 19, 2023

Data Science is one of the most in-demand career choices in the present times. From food to finance, every industry is exploring new ways to use data and improvise strategies to reach out to potential customers. Data Scientists play a significant role in this. The role of the Data Scientist is omnipresent.

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Data Scientist Data Science Machine Learning Data Analysis 52

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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Mlearning.ai

FEBRUARY 9, 2023

Working as a Data Scientist — Expectation versus Reality! 11 key differences in 2023 Photo by Jan Tinneberg on Unsplash Working in Data Science and Machine Learning (ML) professions can be a lot different from the expectation of it. With that context, between Model 1 and Model 2, it may be better to select Model 2.

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Data Scientist Data Science ML Machine Learning 52

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 287

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.

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Data Science Data Scientist Data Analysis Explainability 79

Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

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Data Science ML Machine Learning Artificial Intelligence 52

Pickl AI

NOVEMBER 3, 2023

Learning Data Science from YouTube is a flexible, cost-effective, and accessible way to gain knowledge and skills in this rapidly growing field. Data Science , one of the most talked about topics, has been garnering a lot of attention these days. Top Data Science YouTubers 1.

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Data Science Data Scientist Machine Learning Neural Network 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.

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Data Science Data Scientist Explainability AI 59

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Data Science skills that will help you excel professionally.

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Data Science Machine Learning Algorithm Explainability 52

ODSC - Open Data Science

NOVEMBER 10, 2023

One role that is being especially disrupted by these advancements is that of the data scientist. Data science is already an exciting field, but new tools are taking it to the next level in terms of productivity and capabilities. In this post, we will show you these advancements in action.

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Data Science Python Data Scientist Large Language Models 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 92

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 OpenAI Data Science 98

Pickl AI

MAY 31, 2023

With the expanding field of Data Science, the need for efficient and skilled professionals is increasing. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science.

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Data Science Python Data Scientist Machine Learning 52

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.

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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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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 85

Pickl AI

FEBRUARY 8, 2023

Data Scientists and Data Analysts have been using ChatGPT for Data Science to generate codes and answers rapidly. Error explanation: ChatGPT can be used to explain error messages generated by code, providing developers with a clear and concise explanation of the issue and suggestions for fixing the error.

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Data Science ChatGPT Chatbots Data Scientist 52

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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