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 399

Machine Learning Data Science Data Mining Deep Learning 399

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

Machine Learning AI Strategy ML AI 52

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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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

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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 394

Data Science Python Machine Learning 394

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.

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Data Drift Data Science Data Scientist AI 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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UX Design Natural Language Processing Software Engineer Large Language Models 52

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 380

Data Mining Data Science Machine Learning 380

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 370

Data Science 370

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

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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Python Data Science Algorithm Deep Learning 368

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 365

Machine Learning Artificial Intelligence Artificial Intelligence Data Science 365

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 353

Data Science 353

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 315

Machine Learning Data Science AI Modeling AI 315

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

LLM

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 296

Data Science AI AI BERT 296

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 284

Data Science 284

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 284

Machine Learning Python Data Science Algorithm 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 270

Data Science Artificial Intelligence Artificial Intelligence 270

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Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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 285

Data Science Machine Learning AI AI 285

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 249

Python Data Analysis Data Science 249

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 218

Data Science DevOps Machine Learning 218

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 216

Data Science 216

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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

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 312

Data Science Machine Learning Artificial Intelligence Artificial Intelligence 312