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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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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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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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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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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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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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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Pickl AI

APRIL 28, 2023

A Data Scientist’s average salary in India is up to₹ 8.0 Well, one of the key factors drawing attention towards the Data Scientist job profile is the higher pay package. In fact, the highest salary of a Data Scientist in India can be up to ₹ 26.0 Data Scientist Salary in Hyderabad : ₹ 8.0

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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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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.

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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. As I was working on these projects, I knew I wanted to work as a Data Scientist once I graduate.

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Mlearning.ai

MARCH 22, 2023

Principal Component Analysis(PCA) is an essential algorithm in a data scientist's toolkit. This makes it particularly useful for analyzing large datasets with many variables, where it can be difficult to visualize and interpret the data. Submission Suggestions Explaining PCA was originally published in MLearning.ai

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Heartbeat

SEPTEMBER 7, 2023

In the ever-evolving landscape of machine learning and artificial intelligence, understanding and explaining the decisions made by models have become paramount. Enter Comet , that streamlines the model development process and strongly emphasizes model interpretability and explainability. Why Does It Matter?

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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 311

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Pickl AI

DECEMBER 27, 2023

This comprehensive guide is tailored for Data Scientists and offers insights into the intricacies of A/B testing using Python. Let’s dive into the must-know aspects of A/B testing, empowering you to harness its potential for data-driven success. Tools like Python and R assist in executing and interpreting the tests.

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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.

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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 101

Machine Learning Explainability Data Scientist ML 101

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?

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Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

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Marktechpost

JULY 6, 2023

This is where Interpretable (IAI) and Explainable (XAI) Artificial Intelligence techniques come into play, and the need to understand their differences become more apparent. On the other hand, explainable AI models are very complicated deep learning models that are too complex for humans to understand without the aid of additional methods.

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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 399

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Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

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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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Flipboard

JANUARY 9, 2024

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

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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. But for many who know, this couldn’t be further from the truth. That’s because coding and development are in a special position when it comes to AI. Amazon CodeWhisperer First up is Amazon CodeWisperer.

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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.

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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.

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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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Marktechpost

APRIL 29, 2024

IBM Data Science Professional Certificate This course helps master the practical skills and knowledge necessary for a proficient data scientist. It is a beginner-friendly course that teaches the tools, languages, and libraries data scientists use, such as Python and SQL.

Data Science 125

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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.

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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.

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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. These books cover a range of topics from foundational knowledge in data analysis and manipulation to advanced insights into machine learning and AI.

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Data Science Data Mining Neural Network Machine Learning 118

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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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.

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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. For example, generating code to prepare data as well as train and deploy a model. Data scientists still need to review and evaluate these results.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Each product translates into an AWS CloudFormation template, which is deployed when a data scientist creates a new SageMaker project with our MLOps blueprint as the foundation. These are essential for monitoring data and model quality, as well as feature attributions.

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IBM Journey to AI blog

MARCH 7, 2023

We wanted to be able to help them observe and monitor the thousands of data points available to make informed decisions. How AI powers the Innocens Project When the collaboration began, data scientists at IBM understood they were dealing with a sensitive topic and sensitive information.

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