Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […]. The post Non-Generalization and Generalization of Machine learning Models appeared first on Analytics Vidhya.

Machine Learning 385

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Kavita Ganesan

OCTOBER 26, 2022

Precision and recall are commonly used metrics to measure the performance of machine learning models or AI solutions in general. It helps understand how well models are making predictions. Let’s use an email SPAM prediction example. Say you have a model that looks at an email and decides whether it’s SPAM or NOT SPAM. To see how well it’s doing, you want to compare it with human-generated labels, which we will call the actual labels.

Machine Learning 52

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DataRobot Blog

OCTOBER 27, 2022

Data drift is a phenomenon that reflects natural changes in the world around us, such as shifts in consumer demand, economic fluctuation, or a force majeure. While changes in new data can threaten the performance of production models, data drift can be a strategic opportunity for your AI solution to quickly adapt to new patterns and maintain competitive advantage over not-so-quick competitors.

Data Drift 52

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Google Research AI blog

OCTOBER 25, 2022

Posted by Rodrigo Benenson, Research Scientist, Google Research Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. Researchers around the world use Open Images to train and evaluate computer vision models. Since the initial release of Open Images in 2016, which included image-level labels covering 6k categories, we have provided multiple updates to enrich annotations and expand the potential use cases of the dataset.

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Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

OCTOBER 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction The phrase “machine learning” was invented by Arthur Samuel at IBM. Machine learning is a part of Artificial Intelligence. Machine learning is the process of learning from data and applying math to increase accuracy. There are four different types of machine learning.

Machine Learning 368

Machine Learning Artificial Intelligence Artificial Intelligence Data Science 368

Explosion

OCTOBER 26, 2022

Prodigy is a modern annotation tool for collecting training data for machine learning models developed by the makers of spaCy. In this video, we'll show how.

Machine Learning 52

Machine Learning 52

Google Research AI blog

OCTOBER 26, 2022

Posted by Kedem Snir, Software Engineer, and Gal Elidan, Senior Staff Research Scientist, Google Research Whether it's a professional honing their skills or a child learning to read, coaches and educators play a key role in assessing the learner's answer to a question in a given context and guiding them towards a goal. These interactions have unique characteristics that set them apart from other forms of dialogue, yet are not available when learners practice alone at home.

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Analytics Vidhya

OCTOBER 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction After working for a long time in the office, suddenly, we felt a storm brewing in our stomach, saying Hey! I need food. Then you just come out on the road and start searching for a nearby restaurant – it can be […]. The post Analysis of Restaurants in the United States appeared first on Analytics Vidhya.

Data Science 373

Data Science Python Machine Learning 373

Analytics Vidhya

OCTOBER 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn how to make an object tracker using OpenCV in Python and using, and we will build an object tracker and make a counter system. A tracker keeps track of moving objects in the frame; In OpenCV, […]. The post Making Centroid Tracker and Counter System in Python appeared first on Analytics Vidhya.

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Similar to other fields like healthcare, education is an area that is being penetrated by technology and data science. Many fields have evolved, such as Educational Data Mining EDM, which is a field dedicated to finding actionable insights from educational settings. It […].

Data Mining 357

Data Mining Data Science Machine Learning 357

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data is defined as information that has been organized in a meaningful way. We can use it to represent facts, figures, and other information that we can use to make decisions. Data collection is critical for businesses to make informed decisions, understand customers’ […].

Data Science 354

Data Science 354

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction A blockchain is a digital ledger where every transaction executed is recorded and stored in a decentralized manner. One of the key features of blockchain technology is that it is transparent. You may wonder how this is beneficial to you. Ever heard […]. The post Using a Blockchain Explorer with Polygonscan appeared first on Analytics Vidhya.

Data Science 347

Data Science 347

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018 the researchers of OpenAI presented a framework for achieving strong natural language understanding (NLU) with a single task-agnostic model through generative pre-training and discriminative fine-tuning. In this article, we will look at this groundbreaking work in more detail, which […].

Data Science 330

Data Science OpenAI Python 330

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Analytics Vidhya

OCTOBER 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction source: iPhone Weather App A screen image related to a weather forecast must be a familiar picture to most of us. The AI Model predicting the expected weather predicts a 40% chance of rain today, a 50% chance of Wednesday, and a […]. The post Calibration of Machine Learning Models appeared first on Analytics Vidhya.

Machine Learning 321

Machine Learning Data Science AI Modeling AI 321

Analytics Vidhya

OCTOBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018 Google AI released a self-supervised learning model […]. The post A Gentle Introduction to RoBERTa appeared first on Analytics Vidhya.

Data Science 298

Data Science AI AI BERT 298

Analytics Vidhya

OCTOBER 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Decentralized services, such as swapping, farming, pooling, lending, borrowing, and many more, are offered by decentralized applications (dapps). Each decentralized application offers its own features. For example, you may use Aave for decentralized lending and borrowing, or maybe you may use QuickSwap for decentralized […].

Data Science 285

Data Science 285

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Missing data in machine learning is a type of data that contains “None” or “NaN” type of values. One should take care of the missing data while dealing with machine learning algorithms and training. Missing data can be filled using basic python […].

Machine Learning 278

Machine Learning Python Data Science Algorithm 278

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

OCTOBER 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Healthcare is an important part of human lives. It is also another sector that has been disrupted by technology. In many parts of the world, billions of clinical and laboratory activities are carried out, producing tons of data. Data science is an […]. The post MLOps from a Healthcare Perspective appeared first on Analytics Vidhya.

Data Science 284

Data Science Machine Learning AI AI 284

Analytics Vidhya

OCTOBER 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Web 3.0 revolution is the next generation of the World Wide Web, where the focus is on data-driven applications and content. It is based on the Web 3.0 stack, which includes a semantic web, a social web, and a mobile web. Web […]. The post Web 3.0 Revolution: A New Era appeared first on Analytics Vidhya.

Data Science 253

Data Science Artificial Intelligence Artificial Intelligence 253

Analytics Vidhya

OCTOBER 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction The Python API for Apache Spark is known as PySpark.To develop spark applications in Python, we will use PySpark. It also provides the Pyspark shell for real-time data analysis. PySpark supports most of the Apache Spark functionality, including Spark Core, SparkSQL, DataFrame, Streaming, […].

Python 256

Python Data Analysis Data Science 256

Analytics Vidhya

OCTOBER 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we shall be learning how MLOps add value to an organization. It comprises defining MLOps, recent trends, associated challenges, needs and benefits, components of MLOps, reasons why implementation of MLOps fails, illustration, and the process itself. So, let us […].

Data Science 214

Data Science DevOps Machine Learning 214

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Analytics Vidhya

OCTOBER 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction To suggest that the cloud computing market is evolving would be nothing short of an understatement. These days, if you’re not yet migrating to a cloud architecture, there’s a good chance you’re at least considering hybrid solutions and ways to leverage powerful, […].

Data Science 199

Data Science 199

Analytics Vidhya

OCTOBER 28, 2022

Overview Analytics Vidhya has long been at the forefront of imparting data science knowledge to its community. With the intent to make learning data science more engaging to the community, we began with our new initiative- “DataHour”. DataHour is a series of webinars by top industry experts where they teach and democratize data science knowledge. […].

Data Science 295

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