This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The amount and range of data that is accessible online in the modern era is enormous, which makes it a gold mine of significant insights for corporations, researchers, and consumers. However, you must compile specific details before accessing the most valuable data elements. Data scraping, commonly called web scraping, has become a powerful method for […] The post Data Scraping Demystified: How to Extract Valuable Insights from the Web appeared first on Analytics Vidhya.
Introduction Large Language Models have been the backbone of advancement in the AI domain. With the release of various Open source LLMs, the need for ChatBot-specific use cases has grown in demand. HuggingFace is the primary provider of Open Source LLMs, where the model parameters are available to the public, and anyone can use them […] The post A Comprehensive Guide to Implement HuggingFace Models Using Langchain appeared first on Analytics Vidhya.
Introduction In data science, where innovation meets opportunity, the demand for skilled professionals continues to skyrocket. Data science is not merely a career; it’s a gateway to solving complex problems, driving innovation, and shaping the future. With the industry witnessing an annual growth rate exceeding 36%, a career in data science promises both financial rewards […] The post 15 Guided Projects to Sharpen Your Data Science Skills appeared first on Analytics Vidhya.
The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
IT provides the plumbing for just about every company in existence today. Most of the time, that plumbing works fine — but when something goes wrong, it can be more embarrassing (and more expensive) than the most extravagantly overflowing toilet. We’ve gathered eight instances of big tech failures that struck companies and other organizations in 2023.
Thirteen years ago, 14 months after Geoffrey Hinton’s seminal deep learning tech talk , Google Chief Economist Hal Varian said that statisticians would be the sexiest job in the next 10 years. He was right, although we call them data scientists rather than statisticians. A new foundational machine learning model — deep learning — created demand for a new role to train those models.
Introduction In the world of artificial intelligence, imagine a learning technique that enables machines to build upon their existing knowledge and tackle new challenges with expertise. This unique technique is called transfer learning. In recent years, we’ve witnessed an expansion in the capabilities and applications of generative models. We can use transfer learning to simplify […] The post Mastering Transfer Learning: A Rock-Paper-Scissors Case Study appeared first on Analytics Vi
Introduction In the world of artificial intelligence, imagine a learning technique that enables machines to build upon their existing knowledge and tackle new challenges with expertise. This unique technique is called transfer learning. In recent years, we’ve witnessed an expansion in the capabilities and applications of generative models. We can use transfer learning to simplify […] The post Mastering Transfer Learning: A Rock-Paper-Scissors Case Study appeared first on Analytics Vi
Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision.
This article discusses the significance of large language and visual models in AI, their capabilities, potential synergies, challenges such as data bias, ethical considerations, and their impact on the market, highlighting their potential for advancing the field of artificial intelligence.
What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. Pretty simple. An experienced practitioner will tell you something very different. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Introduction Image segmentation is a task in computer vision that involves dividing a particular image into multiple segments where each segment represents an object or region in the image. This task is important for applications such as object detection, image recognition, and autonomous driving. TensorFlow is an open-source framework used for building and training machine […] The post Deep Learning for Image Segmentation with TensorFlow appeared first on Analytics Vidhya.
“Immortality in Just 7 Years,” Predicts Ex-Google Engineer Ray Kurzweil, the man behind some of the most accurate predictions of our time, has made a jaw-dropping claim: “Humans will achieve immortality by 2030!” In a recent YouTube series, the Ex-Google engineer spoke of the incredible advancements in technology that will lead to eternal life.
Introduction Are you eager to dive into data science and sharpen your skills? Look no further! This article will explore five exciting data science projects with step-by-step solutions. Whether you’re a novice looking to learn or an experienced data enthusiast seeking to expand your portfolio, these hands-on free data science projects will empower you to […] The post 5 Free Data Science Projects With Solutions appeared first on Analytics Vidhya.
Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Introduction Do you know that the majority of medical errors are caused by misdiagnosis? Because many diseases have similar symptoms, which is difficult for doctors to give accurate results. The main reasons for misdiagnosis are a lack of experienced doctors, lack of time with patients, lack of resources, etc. What if some technology can overcome […] The post Use of ML in HealthCare: Predictive Analytics and Diagnosis appeared first on Analytics Vidhya.
Introduction Welcome to the world of MLOps, or Machine Learning Operations! If you’re an industry specialist looking to understand MLOps and how it can benefit your organization, then you’re at the right place. MLOps, or Machine Learning Operations, is a set of practices and techniques that enables an organization to effectively build, deploy, and manage […].
Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals. AI and ML are used to analyze large amounts of […] The post Future of AI and Machine Learning in Cybersecurity appeared first on Analytics Vidhya.
Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.
Introduction Chatbots have become an integral part of the digital landscape, revolutionizing the way businesses interact with their customers. From customer service to sales, virtual assistants to voice assistants, chatbot evolution has taken place in everyday lives and in the way companies communicate with their users. The technological capabilities of chatbots have improved over time, […] The post Chatbot Evolution: ChatGPT Vs.
Introduction The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated. This can result in many problems for data scientists, such as: Given the above challenges, […] The post Machine Learning Experiment Tracking Using MLflow appeared first on Analytics Vidhya.
Introduction Crop yield prediction is an essential predictive analytics technique in the agriculture industry. It is an agricultural practice that can help farmers and farming businesses predict crop yield in a particular season when to plant a crop, and when to harvest for better crop yield. Predictive analytics is a powerful tool that can help […] The post Crop Yield Prediction Using Machine Learning And Flask Deployment appeared first on Analytics Vidhya.
This article was published as a part of the Data Science Blogathon. Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. This project is based on real-world data, and the dataset is also highly imbalanced. There are three types of injuries in a target variable: minor, severe, […].
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Introduction OpenAI’s API, developed by OpenAI, provides access to some of the most advanced language models available today. By leveraging this API and using LangChain & LlamaIndex, developers can integrate the power of these models into their own applications, products, or services. With just a few lines of code, you can tap into the vast knowledge […] The post Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction appeared first on Analytics Vidhya.
In a revolutionary move, the European Union (EU) has successfully passed The Artificial Intelligence Act, a draft law that seeks to regulate the use of artificial intelligence (AI). This significant development marks a crucial step in establishing guidelines for AI governance and may serve as a global model for policymakers. Let’s delve into the details […] The post EU Takes a Stand with AI Rules appeared first on Analytics Vidhya.
Introduction The purpose of this project is to develop a Python program that automates the process of monitoring and tracking changes across multiple websites. We aim to streamline the meticulous task of detecting and documenting modifications in web-based content by utilizing Python. This capability is invaluable for real-time news tracking, immediate product updates, and conducting […] The post Empowering Real-Time Insights with Website Monitoring Using Python appeared first on Analytics
Introduction In a world driven by cutting-edge technology and mind-boggling possibilities, keeping up with the ever-evolving realm of AI is both thrilling and essential. As we step into the promising year of 2023, it’s time to embark on an exhilarating journey through the minds of the most influential and visionary AI trailblazers. Buckle up and […] The post Top 10 AI Influencers to Follow in 2023 appeared first on Analytics Vidhya.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
A fully autonomous AI agent called AgentGPT is gaining popularity in the field of generative AI models. Based on AutoGPT initiatives like ChaosGPT, this tool enables users to specify a name and an objective for the AI to accomplish by breaking it down into smaller tasks. AgentGPT is a no-code, browser-based solution that makes AI […] The post Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!
Introduction As artificial intelligence and machine learning continue to evolve at a rapid pace, we find ourselves in a world where chatbots are becoming increasingly commonplace. Google recently made headlines with the release of Bard, its language model for dialogue applications (LaMDA). It is said to be trained to have more natural and open-ended conversations […] The post Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison appeared first on Analytics Vidhya.
Introduction Since the release of ChatGPT and the GPT models from OpenAI and their partnership with Microsoft, everyone has given up on Google, which brought the Transformer Model to the AI space. More than a year after the GPT models were released, there were no big moves from Google, apart from the PaLM API, which […] The post Building an LLM Model using Google Gemini API appeared first on Analytics Vidhya.
Macquarie’s Banking and Financial Services Group has joined forces with Google Cloud to harness the power of artificial intelligence (AI) and machine learning (ML) in an exciting collaboration to revolutionize the banking industry. This partnership aims to enhance customer banking experiences by developing predictive analysis models and streamlining banking processes through automation.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
401 
Let's personalize your content