Analytics Vidhya

MAY 26, 2022

Introduction The ability to explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. The post Adding Explainability to Clustering appeared first on Analytics Vidhya.

Explainability 388

Explainability Explainable AI Algorithm Data Science 388

Analytics Vidhya

NOVEMBER 29, 2021

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. For example – If a healthcare […].

Explainability 396

Explainability Machine Learning Data Science Deep Learning 396

Flipboard

MARCH 17, 2025

Home Table of Contents Getting Started with Python and FastAPI: A Complete Beginner’s Guide Introduction to FastAPI Python What Is FastAPI? Your First Python FastAPI Endpoint Writing a Simple “Hello, World!” Jump Right To The Downloads Section Introduction to FastAPI Python What Is FastAPI?

Python 152

Python Computer Vision Auto-complete Deep Learning 152

Analytics Vidhya

JANUARY 19, 2022

Introduction In my previous article, I discussed three python projects with codes and explained them in detail. This time, we will look at some more python projects with codes again. […]. The post Interesting Python Projects With Code for Beginners – Part 2 appeared first on Analytics Vidhya.

Python 343

Python Data Science Explainability 343

Analytics Vidhya

MAY 30, 2024

Introduction In this article, you’ll discover an in-depth exploration of the sum() function in Python, a crucial built-in utility for aggregating numbers across various iterable types. Additionally, you’ll learn […] The post How to use sum() Function in Python? appeared first on Analytics Vidhya.

Python 305

Python Explainability 305

Analytics Vidhya

JUNE 28, 2022

In my previous article, I explained Redis which […]. The post Introduction to Memcached using Python appeared first on Analytics Vidhya. It is an in-memory key-value data store, which makes it a type of NoSQL database. Memcached is used by tech giants like Facebook, Twitter, Instagram, and Netflix.

Python 336

Python Data Science Explainability 336

Analytics Vidhya

NOVEMBER 1, 2022

The post Explaining Sparse Datasets with Practical Examples appeared first on Analytics Vidhya. Sometimes even after successfully loading and reading data, you run out of memory amid data processing operations! Ever wondered what may be the reason behind this […].

Explainability 381

Explainability Data Science Big Data Python 381

Analytics Vidhya

OCTOBER 13, 2020

Introduction In this blog, I will explain how using simple machine learning. The post Modernize Support Logs Using Simple Python Commands appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Python 328

Python Machine Learning Data Science Explainability 328

Analytics Vidhya

JUNE 8, 2024

In this series of articles, I will explain Greedy Best-First Search and show examples using Python […] The post Understanding the Greedy Best-First Search (GBFS) Algorithm in Python appeared first on Analytics Vidhya. Think of it as that one friend who always puts the best foot forward.

Algorithm 300

Algorithm Python Explainability 300

Analytics Vidhya

OCTOBER 17, 2021

The post A Complete Explainer on Waterfall Chart appeared first on Analytics Vidhya. The waterfall charts are also known as Floating Bricks Charts, Flying Bricks Charts. […].

Explainability 349

Explainability Data Science Python 349

Analytics Vidhya

SEPTEMBER 2, 2021

The post Searching in Data Structure – Different Search Methods Explained appeared first on Analytics Vidhya. The amount of data generated on the internet is increasing, and as a result, datasets are becoming more complex. It is important […].

Explainability 361

Explainability Data Science Python 361

Analytics Vidhya

MAY 5, 2024

7B Explained appeared first on Analytics Vidhya. It is designed for a variety of code and natural language generation tasks. The 7B model is part of the Gemma family and is further trained on more than 500 billion tokens […] The post Is Coding Dead? Google’s CodeGemma 1.1

Explainability 327

Explainability Large Language Models AI Tools Deep Learning 327

Analytics Vidhya

MARCH 9, 2022

Overview Role of Data Structures in doing Analysis using Python Getting to know about Tuple, List, Dictionary, Set, Array, Series and Data Frame Major data structures explained in detail Introduction Every one of us in our data science journey is inclined towards learning Python: The Python Programming Language.

Python 291

Python Data Science Explainability 291

Analytics Vidhya

JULY 26, 2023

The head and tail functions are essential data analysis and programming tools, notably in the context of Python’s popular pandas package. What is head() Function? […] The post head () and tail () Functions Explained with Examples and Codes appeared first on Analytics Vidhya.

Explainability 267

Explainability Data Analysis Python 267

Analytics Vidhya

OCTOBER 24, 2020

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. This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya.

Explainable AI 342

Explainable AI Explainability Data Science AI 342

Unite.AI

NOVEMBER 25, 2024

This article dives into design patterns in Python, focusing on their relevance in AI and LLM -based systems. I'll explain each pattern with practical AI use cases and Python code examples. Let’s explore some key design patterns that are particularly useful in AI and machine learning contexts, along with Python examples.

Python 147

Python LLM AI Engineer AI 147

Analytics Vidhya

FEBRUARY 22, 2022

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

Explainability 316

Explainability Data Science Data Mining Python 316

Analytics Vidhya

AUGUST 22, 2021

The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya. 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.

Explainability 372

Explainability Data Science Algorithm Python 372

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 304

Prompt Engineering Prompt Engineer Artificial Intelligence Artificial Intelligence 304

Analytics Vidhya

AUGUST 2, 2022

The post Explainable AI using OmniXAI appeared first on Analytics Vidhya. 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 […].

Explainable AI 291

Explainable AI Explainability Data Science ML 291

Analytics Vidhya

JUNE 27, 2022

You can find many articles explaining how Redis can be the all-in-one […]. The post Introduction to Redis Using Python appeared first on Analytics Vidhya. Introduction Redis is a popular in-memory key-value data store, which is a type of NoSQL database.

Python 271

Python Data Science Explainability 271

Analytics Vidhya

JUNE 15, 2020

The post AUC-ROC Curve in Machine Learning Clearly Explained appeared first on Analytics Vidhya. AUC-ROC Curve – The Star Performer! You’ve built your machine learning model – so what’s next? You need to evaluate it and validate how.

Machine Learning 308

Machine Learning Explainability Python 308

IBM Journey to AI blog

OCTOBER 15, 2024

When a user taps on a player to acquire or trade, a list of “Top Contributing Factors” now appears alongside the numerical grade, providing team managers with personalized explainability in natural language generated by the IBM® Granite™ large language model (LLM). ” The grading system is written in Node.js

Explainability 257

Explainability Machine Learning Large Language Models Algorithm 257

Analytics Vidhya

JUNE 27, 2022

The post A Guide to Exploratory Data Analysis Explained to a 13-year-old! 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. Well, what is it? Is it something important, if yes why? If you are looking for the answers […].

Data Analysis 290

Data Analysis Explainability Data Science AI 290

Analytics Vidhya

NOVEMBER 3, 2021

Overview Keras is a Python library including an API for working with neural networks and deep learning frameworks. Keras includes Python-based methods and components for working with various Deep Learning applications. Models Explaining Deep […]. This article was published as a part of the Data Science Blogathon.

Neural Network 361

Neural Network Deep Learning Python Data Science 361

Analytics Vidhya

JANUARY 20, 2021

ArticleVideos Introduction Upgrading either Anaconda or Python on macOS is complicated. But using the process explained below will ease it out. For this, I’m. The post A Quick Guide to Setting up a Virtual Environment for Machine Learning and Deep Learning on macOS appeared first on Analytics Vidhya.

Deep Learning 366

Deep Learning Machine Learning Explainability Python 366

Unite.AI

SEPTEMBER 2, 2024

In this comprehensive guide, we'll explore the world of asynchronous LLM API calls in Python. In Python, this is primarily achieved through the asyncio module, which provides a framework for writing concurrent code using coroutines, event loops, and futures. Here's what you'll need: Python 3.7 We'll use OpenAI's GPT-3.5

LLM 240

LLM Python OpenAI Artificial Intelligence 240

Flipboard

MARCH 1, 2025

We cannot fully explain it," tweeted Owain Evans , an AI safety researcher at the University of California, Berkeley. More on freaky AI findings: AI Designed an Alien Chip That Works, But Experts Can't Explain Why The post Researchers Trained an AI on Flawed Code and It Became a Psychopath appeared first on Futurism.

OpenAI 178

OpenAI LLM Explainability Large Language Models 178

AssemblyAI

AUGUST 31, 2023

venv/bin/activate # Windows: python -m venv venv.venvScriptsactivate.bat Install LangChain and the AssemblyAI Python package : pip install langchain pip install assemblyai Set your AssemblyAI API key as an environment variable named ASSEMBLYAI_API_KEY. You can read more about the TranscriptFormat options here.

Python 217

Python Metadata Large Language Models LLM 217

AWS Machine Learning Blog

DECEMBER 12, 2024

Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. Shweta Singh is a Senior Product Manager in the Amazon SageMaker Machine Learning (ML) platform team at AWS, leading SageMaker Python SDK.

ML 88

ML Python Data Scientist Natural Language Processing 88

AssemblyAI

OCTOBER 16, 2023

venv/bin/activate # Windows: python -m venv venv.venvScriptsactivate.bat Install LlamaIndex, Llama Hub, and the AssemblyAI Python package : pip install llama-index llama-hub assemblyai Set your AssemblyAI API key as an environment variable named ASSEMBLYAI_API_KEY.

Python 200

Python Metadata Large Language Models OpenAI 200

Marktechpost

APRIL 24, 2024

Explainable AI (XAI) aims to balance model explainability with high learning performance, fostering human understanding, trust, and effective management of AI partners. ELI5 is a Python package that helps debug machine learning classifiers and explain their predictions.

Explainable AI 117

Explainable AI Explainability Neural Network Data Scientist 117

Flipboard

DECEMBER 26, 2024

Surprising no one, Python tops the charts as the most popular language in the zeitgeist and among IEEE members. It should be noted that just knowing SQL is not enough, and it must be paired with a more traditional programming language like Python or C++.

Software Engineer 177

Software Engineer BERT Artificial Intelligence Artificial Intelligence 177

Unite.AI

NOVEMBER 6, 2024

Microsoft Research introduced AutoGen in September 2023 as an open-source Python framework for building AI agents capable of complex, multi-agent collaboration. Prerequisites and Installation Before working with AutoGen, ensure you have a solid understanding of AI agents, orchestration frameworks, and the basics of Python programming.

Automation 147

Automation Python Software Engineer AI 147

AssemblyAI

APRIL 9, 2024

This tutorial will explain how to quickly transcribe audio or video files in Python applications using the Best and Nano tiers with our Speech-to-Text API. Install the AssemblyAI Python SDK The easiest way to start transcribing audio is by using one of our official SDKs.

Python 147

Python Large Language Models Categorization Explainability 147

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

Analytics Vidhya

MAY 11, 2020

A Simple Analogy to Explain Decision Tree vs. Random Forest Let’s start with a thought experiment that will illustrate the difference between a decision. The post Decision Tree vs. Random Forest – Which Algorithm Should you Use? appeared first on Analytics Vidhya.

Algorithm 400

Algorithm Explainability Python Machine Learning 400