Great Learning

NOVEMBER 7, 2023

While the terms Data Science, Artificial Intelligence (AI), and Machine learning fall in the same domain and are connected, they have specific applications and meanings. There may be overlaps in these domains now and then, but each of these three terms has unique uses.

Artificial Intelligence 119

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 119

Analytics Vidhya

JUNE 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon eXplainable AI(XAI) What does Interpretability/Explainability mean in AI? The post Beginner’s Guide to Machine Learning Explainability appeared first on Analytics Vidhya. The following points.

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Explainability Machine Learning Explainable AI Data Science 400

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model.

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Explainability Machine Learning Data Science Deep Learning 396

Analytics Vidhya

NOVEMBER 1, 2022

This article was published as a part of the Data Science Blogathon. Sometimes even after successfully loading and reading data, you run out of memory amid data processing operations! The post Explaining Sparse Datasets with Practical Examples appeared first on Analytics Vidhya.

Explainability 381

Explainability Data Science Big Data Python 381

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 124

Data Science Data Scientist Python Machine Learning 124

Analytics Vidhya

JUNE 7, 2022

This article was published as a part of the Data Science Blogathon. The post Explaining Writing Dockerfile with Examples appeared first on Analytics Vidhya. Introduction on Dockerfile This article contains about Dockerfile that we are commonly using in DevOps Engineering.

Explainability 370

Explainability DevOps Data Science 370

Analytics Vidhya

JULY 1, 2022

This article was published as a part of the Data Science Blogathon. The post Applications of Data Science Tools in Biopharmaceutical Industry appeared first on Analytics Vidhya. AIL is increasingly capable of predictive analytics and […]. AIL is increasingly capable of predictive analytics and […].

Data Science 271

Data Science Artificial Intelligence Artificial Intelligence Explainability 271

Analytics Vidhya

AUGUST 6, 2022

This article was published as a part of the Data Science Blogathon. With QlikView, you can analyze and visualize data and their relationships and use these analyzes to make decisions. It Supports various data sources, including […]. It Supports various data sources, including […].

Explainability 383

Explainability Data Science Business Intelligence 383

Analytics Vidhya

JULY 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I am going to explain the steps. The post How to choose an appropriate Machine Learning Algorithm for Data Science Projects? appeared first on Analytics Vidhya.

Data Science 392

Data Science Machine Learning Algorithm Explainability 392

Analytics Vidhya

AUGUST 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the modern day, where there is a colossal amount of data at our disposal, using ML models to make decisions has become crucial in sectors like healthcare, finance, marketing, etc. Many ML models are black boxes since it is difficult to […].

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Explainable AI Explainability Data Science ML 287

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data Science Data Scientist Machine Learning Data Mining 219

Analytics Vidhya

JANUARY 5, 2022

This article was published as a part of the Data Science Blogathon. The post Build a Trustworthy Model with Explainable AI appeared first on Analytics Vidhya. Introduction Ref: [link] AI-based systems are disrupting almost every industry and helping us to make crucial decisions that are impacting millions of lives.

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Explainable AI Explainability Data Science AI 338

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will attempt to explain all of the ideas that you should be familiar with about databases. The post Want to Survive in Data Science: Understand the Basics of Relational Databases appeared first on Analytics Vidhya.

Data Science 352

Data Science Deep Learning Explainability Machine Learning 352

Analytics Vidhya

DECEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction In this article, I will explain to you how will we use Django Framework for creating some really exciting data science projects in Windows Machine.

Data Science 356

Data Science Explainability Machine Learning Python 356

Analytics Vidhya

OCTOBER 31, 2022

This article was published as a part of the Data Science Blogathon. The post Explainable Artificial Intelligence (XAI) for AI & ML Engineers appeared first on Analytics Vidhya.

ML Engineer 330

ML Engineer Artificial Intelligence Artificial Intelligence Explainability 330

Analytics Vidhya

FEBRUARY 22, 2022

This article was published as a part of the Data Science Blogathon. The post Explaining Text Generation with LSTM appeared first on Analytics Vidhya. An end-to-end guide on Text generation using LSTM Source: develop-paper […].

Explainability 310

Explainability Data Science Data Mining Python 310

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction The big data industry is growing daily and needs tools to process vast volumes of data. The post Apache Kafka Architecture and Use Cases Explained appeared first on Analytics Vidhya.

Explainability 330

Explainability Big Data Data Science 330

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 117

Data Science Data Mining Neural Network Machine Learning 117

Analytics Vidhya

OCTOBER 17, 2021

This article was published as a part of the Data Science Blogathon Introduction The waterfall chart is a 2-Dimensional chart that is specially used to understand the effects of incremental positive and negative changes over time or over multiple steps or a variable.

Explainability 344

Explainability Data Science Python 344

Analytics Vidhya

SEPTEMBER 2, 2021

This article was published as a part of the Data Science Blogathon Introduction In today’s world, the communication network is expanding at a very fast rate. The amount of data generated on the internet is increasing, and as a result, datasets are becoming more complex. It is important […].

Explainability 358

Explainability Data Science Python 358

Analytics Vidhya

JANUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Source: Designed by Freepik Introduction We are living in a world where data is collected at every transaction, be it taking a cab ride, online shopping details of what was bought and how much was bought, there are reminders for getting our vehicles […].

Explainability 269

Explainability Python Data Science NLP 269

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This blog mainly tells the story of the Machine Learning. The post Machine Learning Life-cycle Explained! appeared first on Analytics Vidhya.

Machine Learning 266

Machine Learning Explainability Data Science 266

Analytics Vidhya

AUGUST 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.

Explainability 371

Explainability Data Science Algorithm Python 371

Analytics Vidhya

MAY 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post StyleGAN Explained in Less Than Five Minutes appeared first on Analytics Vidhya. About: StyleGAN Generative Adversarial Networks (GAN) are a somewhat new.

Explainability 301

Explainability Data Science Computer Vision 301

Analytics Vidhya

OCTOBER 24, 2020

This article was published as a part of the Data Science Blogathon. Introduction This Article Covers the use of an Explainable AI framework(Lime, Shap). The post Unveiling the Black Box model using Explainable AI(Lime, Shap) Industry use case. appeared first on Analytics Vidhya.

Explainable AI 337

Explainable AI Explainability Data Science AI 337

Analytics Vidhya

MAY 14, 2023

Thus, understanding the disparity between two fundamental algorithms, Regression vs Classification, becomes essential. […] The post Regression vs Classification in Machine Learning Explained! appeared first on Analytics Vidhya.

Machine Learning 312

Machine Learning Explainability Data Scientist Algorithm 312

Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Agglomerative Clustering using Single Linkage (Source) As we all know, The post Single-Link Hierarchical Clustering Clearly Explained! appeared first on Analytics Vidhya.

Explainability 271

Explainability Data Science Algorithm ML 271

Analytics Vidhya

MARCH 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Linear Regression Image 1: Sales vs Budget data with a linear model representation Linear regression is a statistical method that presumes a linear relationship between the input and the output variables.

Explainability 271

Explainability Data Science Machine Learning 271

Analytics Vidhya

JUNE 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction You might be wandering in the vast domain of AI, and may have come across the word Exploratory Data Analysis, or EDA for short. The post A Guide to Exploratory Data Analysis Explained to a 13-year-old! Well, what is it?

Data Analysis 287

Data Analysis Explainability Data Science AI 287

Analytics Vidhya

OCTOBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction to Dynamic Time Wraping The Time series classification is a very common task where you will have data from various domains like Signal processing, IoT, human activity, and more and the ultimate aim is to train a specific model so that it can […].

Explainability 287

Explainability Python Data Science 287

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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Data Science Machine Learning Big Data Data Mining 156

Analytics Vidhya

DECEMBER 21, 2020

This article was published as a part of the Data Science Blogathon. The post Model Risk Management And the Role of Explainable Models(With Python Code) appeared first on Analytics Vidhya. Photo by h heyerlein on Unsplash Introduction Similar to rule-based mathematical.

Explainability 349

Explainability Python Data Science Machine Learning 349

Towards AI

MARCH 17, 2024

Alongside this, there is a second boom in XAI or Explainable AI. Explainable AI is focused on helping us poor, computationally inefficient humans understand how AI “thinks.” We will then explore some techniques for building glass-box or explainable models. This article builds on the work of the XAI community.

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Explainable AI Explainability Neural Network AI 105

Towards AI

FEBRUARY 10, 2024

In this article, I want to explain to you several ways you can make your data science application stand out to employers and interviewers. If you look at my profile, most of the posts are about fundamental statistical and data science concepts. Your blog hasn’t got to be “groundbreaking.”

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Data Science Data Scientist Algorithm Machine Learning 110

Towards AI

FEBRUARY 18, 2024

I want to experiment with whether CrewAI could perform data science tasks or not. I would also explain the components with the example along the way. So, let’s get into it. The first thing we need to do is to install the CrewAI. You can do that by executing the following code in your CLI.

Data Science 119

Data Science LLM Data Scientist Explainability 119

NYU Center for Data Science

APRIL 11, 2024

In a field as vast and varied as data science, you never know where the next groundbreaking idea might come from. The Data Science Lunch Seminar Series at CDS provides a space for those serendipitous sparks of insight to fly. Bhatt researches trustworthy machine learning and human-machine collaboration.

Data Science 76

Data Science Large Language Models Machine Learning Explainability 76

Flipboard

MAY 28, 2023

Police are now using data science to help officers work more effectively in tracking down missing vehicles. Kyle Iboshi with our affiliate KGW explains. Portland, Oregon, like many areas of the U.S., has seen an increase in the number of stolen cars in recent years.

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