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 306

Explainability Data Science Computer Vision 306

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

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 218

Machine Learning Explainability Data Science 218

Marktechpost

APRIL 2, 2024

Following are the top Python programming books one should read in 2024. The book also has various projects that one can build to further solidify one’s understanding of the language. The book covers topics such as variables, functions, loops, and object-oriented programming.

Python 124

Python Machine Learning Data Science Algorithm 124

Analytics Vidhya

APRIL 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Here’s a quick guide explaining everything at a place! In this blog, I’ll provide a brief rundown of. The post Getting started with Deep Learning? appeared first on Analytics Vidhya.

Deep Learning 241

Deep Learning Explainability Data Science 241

Marktechpost

APRIL 4, 2024

R is a popular programming language and is widely used in data science and statistics. The popularity of data science has been increasing significantly over the past few years, which makes learning R an essential skill. The book starts with the basics and covers concepts like performing statistical tests and modeling.

Data Science 99

Data Science Data Analysis Data Mining Explainability 99

Marktechpost

APRIL 12, 2024

It is widely used in domains like business, medicine, and even social sciences. With the rise in the field of data science, the importance of statistics has increased significantly as it provides the base to carry out complex calculations. The book also covers how to implement the different analyses and methods in R.

Data Scientist 109

Data Scientist Python Data Science Data Analysis 109

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

Convolutional Neural Networks 400

Convolutional Neural Networks Neural Network Data Science Explainability 400

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

Analytics Vidhya

APRIL 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction A linear regression model attempts to explain the relationship. The post Gradient Descent in Linear Regression appeared first on Analytics Vidhya.

Explainability 383

Explainability Data Science Algorithm 383

Analytics Vidhya

JULY 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction. This article will seek to explain and explore an introduction. The post An Introduction to Computer Vision With OpenCV appeared first on Analytics Vidhya.

Computer Vision 348

Computer Vision Explainability Data Science Python 348

Snorkel AI

NOVEMBER 13, 2024

In short, data development treats data like software—as a resource to iteratively change and improve to fit the project’s needs. In this explainer, we will describe what AI data development is and why we think data science teams at every enterprise should embrace a wider definition of it. Deduplication.

Data Science 52

Data Science Data Scientist AI AI 52

Snorkel AI

NOVEMBER 13, 2024

In short, data development treats data like software—as a resource to iteratively change and improve to fit the project’s needs. In this explainer, we will describe what AI data development is and why we think data science teams at every enterprise should embrace a wider definition of it. Deduplication.

Data Science 52

Data Science Data Scientist AI AI 52

Snorkel AI

NOVEMBER 13, 2024

In short, data development treats data like software—as a resource to iteratively change and improve to fit the project’s needs. In this explainer, we will describe what AI data development is and why we think data science teams at every enterprise should embrace a wider definition of it. Deduplication.

Data Science 52

Data Science Data Scientist AI AI 52

Analytics Vidhya

JUNE 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This article explains the problem of exploding and vanishing gradients while. The post The Challenge of Vanishing/Exploding Gradients in Deep Neural Networks appeared first on Analytics Vidhya.

Neural Network 329

Neural Network Explainability Data Science Algorithm 329

Analytics Vidhya

JULY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In one of my previous articles, I have explained the. The post Let’s Unfold the Mystery of Different Probability Distributions! appeared first on Analytics Vidhya.

Explainability 291

Explainability Data Science Python 291

Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I’m gonna explain about DBSCAN algorithm. The post Understand The DBSCAN Clustering Algorithm! appeared first on Analytics Vidhya.

Algorithm 298

Algorithm Explainability Data Science ML 298

Analytics Vidhya

MARCH 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Before explaining nested cross-validation, let’s start with the basics. The post A step by step guide to Nested Cross-Validation appeared first on Analytics Vidhya.

Explainability 313

Explainability Data Science Machine Learning 313

Analytics Vidhya

JUNE 20, 2021

ArticleVideo Book This article was published as part of the Data science Blogathon. In this post, we will explain the bias-variance tradeoff in machine. The post How to get the most out of Bias-Variance Tradeoff? appeared first on Analytics Vidhya.

Explainability 288

Explainability Data Science Python Machine Learning 288

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview In this blog, I will be briefly explaining the concepts. The post MLOps – Operationalizing Machine Learning Models in Production appeared first on Analytics Vidhya.

Machine Learning 269

Machine Learning Explainability Data Science Python 269

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain deep learning and some supervised. The post Introduction to Supervised Deep Learning Algorithms! appeared first on Analytics Vidhya.

Deep Learning 250

Deep Learning Algorithm Data Science Explainability 250

NYU Center for Data Science

MARCH 21, 2024

Garden path” sentences, such as “I read the book was bad,” lure readers into initially interpreting “the book” as the direct object of “read,” only to force a jarring reanalysis when the word “was” comes into view. But can the predictive power of language models truly capture the nuances of human language processing?

Explainability 62

Explainability Data Science LLM NLP 62

Analytics Vidhya

APRIL 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Before I get into explaining the random forest algorithms and. The post Getting into Random Forest Algorithms appeared first on Analytics Vidhya.

Algorithm 272

Algorithm Explainability Data Science Machine Learning 272

Pickl AI

FEBRUARY 3, 2023

If you’re an aspiring Data Scientist, you must know that SQL is one of the most crucial skills needed to become an expert. As a result, you may have a keen interest in finding the best books for SQL. the following blog post will provide you with some of the best SQL books for beginners and advanced learners.

Data Scientist 52

Data Scientist Data Science Explainability AI 52

NYU Center for Data Science

DECEMBER 14, 2023

Music technology and data science have begun to converge in unexpected ways, and at the forefront of this interdisciplinary fusion is Brian McFee , Assistant Professor of Music Technology and Data Science at CDS and NYU Steinhardt. McFee’s book goes beyond being a mere academic resource.

Data Science 94

Data Science Explainability Big Data Data Scientist 94

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: This article aims to explain the concepts of Natural Language. The post Natural Language Processing – Sentiment Analysis using LSTM appeared first on Analytics Vidhya.

Natural Language Processing 218

Natural Language Processing Data Science Explainability NLP 218

Dlabs.ai

MARCH 9, 2022

The recommendations cover everything from data science to data analysis, programming, and general business. Meaning you’ll have a better understanding of all the mechanisms to make you a more effective data scientist if you read even just a few of these books. Top books for data scientists 1.

Data Scientist 52

Data Scientist Machine Learning Python Data Science 52

Applied Data Science

OCTOBER 25, 2021

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? Based on current predictions (enabled by data science), this trend will continue, as more and more industries shift towards data-driven and automated solutions.

Data Science 52

Data Science Data Scientist Deep Learning Machine Learning 52

Mlearning.ai

AUGUST 30, 2023

My Story Book Workflow Code The following code is tried and tested on google colab. Here is one story book which I generated using this tool. Searching for hands-on wisdom in Data Science, AI, and Python? Here is a diagram to help you understand it better. Let's begin by setting up the environment on colab.

LLM 52

LLM OpenAI Python AI 52

IBM Journey to AI blog

MAY 9, 2023

Consistent principles guiding the design, development, deployment and monitoring of models are critical in driving responsible, transparent and explainable AI. Building responsible AI requires upfront planning, and automated tools and processes designed to drive fair, accurate, transparent and explainable results.

Metadata 245

Metadata Explainability Automation Responsible AI 245

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.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

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?

Explainability 52

Explainability Machine Learning Data Scientist Deep Learning 52

IBM Journey to AI blog

FEBRUARY 8, 2023

Manual processes can lead to “black box models” that lack transparent and explainable analytic results. Explainable results are crucial when facing questions on the performance of AI algorithms and models. Your customers deserve and are holding your organization accountable to explain reasons for analytics-based decisions.

Responsible AI 130

Responsible AI Explainability Explainable AI Automation 130

ODSC - Open Data Science

DECEMBER 5, 2023

ODSC West is now a part of our history books, and we couldn’t be happier with how everything turned out. We had our first-ever Halloween party, more book signings, exciting keynotes, and plenty of sessions to fit everyone’s needs. On Tuesday, we had our annual hackathon that kept the teams busy all day.

Data Science 98

Data Science Large Language Models Artificial Intelligence Artificial Intelligence 98

Towards AI

MAY 30, 2024

years along a dozen graduates and experts in the field… our new and first book: Building LLMs for Production! So we’ve gathered everything we worked on and with in this 470-page book all about LLMs and how to work with them. Jerry Liu , Co-founder and CEO of LlamaIndex “This book will help you or your company get the most out of LLMs.

Prompt Engineer 82

Prompt Engineer Prompt Engineering LLM AI 82

Mlearning.ai

FEBRUARY 27, 2023

Introduction Six months ago, when I started learning data science with my first Python project ( LINK ) — a simple text classification problem for the Yelp review data, the focus was learning how to implement basic sk-learn modules to get the results out in a Jupyter notebook environment. py ├── configs │ ├── __init__.py

Data Science 52

Data Science Python Deep Learning Text Analytics 52

Bugra Akyildiz

MARCH 12, 2023

To quantify the impact of such data incidents, the Fares data science team has built a simulation framework that replicates corrupted data from real production incidents and assesses the impact on the fares data model performance.

Explainability 52

Explainability Data Drift Software Engineer Data Science 52