Analytics Vidhya

OCTOBER 12, 2021

This article was published as a part of the Data Science Blogathon Introduction to Support Vector Machine(SVM) SVM is a powerful supervised algorithm that works best on smaller datasets but on complex ones. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks, but generally, they work best in classification […].

Algorithm 372

Algorithm Data Science Machine Learning 372

O'Reilly Media

OCTOBER 12, 2021

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.”

Algorithm 123

Algorithm Prompt Engineer Prompt Engineering Automation 123

DeepMind

OCTOBER 10, 2021

Picking up a stick and balancing it atop a log or stacking a pebble on a stone may seem like simple — and quite similar — actions for a person. However, most robots struggle with handling more than one such task at a time. Manipulating a stick requires a different set of behaviours than stacking stones, never mind piling various dishes on top of one another or assembling furniture.

Robotics 57

Robotics 57

Dlabs.ai

OCTOBER 13, 2021

The retail industry is changing quickly. Technology is sweeping through the sector, with computer vision applications in retail offering a proven way to enhance the customer experience and boost sales. That said, the RIS 29th Annual Retail Technology Study: Retail Accelerates shows how just 3% of retailers currently use computer vision, although over 40% plan to implement it within three years.

Computer Vision 52

Computer Vision Neural Network Deep Learning Automation 52

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 9, 2021

This article was published as a part of the Data Science Blogathon Introduction Image 1 First of all, don’t let the title deceive you! Natural Language Processing is a vast field of its own. It is evident that a lot of linguistic computation and analysis can easily be performed with modern NLP tools and applications. From […]. The post Making Natural Language Processing easy with TextBlob appeared first on Analytics Vidhya.

Natural Language Processing 368

Natural Language Processing NLP Data Science Python 368

DeepMind

OCTOBER 10, 2021

Picking up a stick and balancing it atop a log or stacking a pebble on a stone may seem like simple — and quite similar — actions for a person. However, most robots struggle with handling more than one such task at a time. Manipulating a stick requires a different set of behaviours than stacking stones, never mind piling various dishes on top of one another or assembling furniture.

Robotics 57

Robotics 57

NLPhilia

OCTOBER 13, 2021

When you combine Pattern Interruption with High-Stakes Decision-Making, you get this: OODA Loop originally appeared on NLPhilia Blog on 2021-10-13 (Wednesday).

52

52

Analytics Vidhya

OCTOBER 11, 2021

This article was published as a part of the Data Science Blogathon Overview In computer science, problem-solving refers to artificial intelligence techniques, including various techniques such as forming efficient algorithms, heuristics, and performing root cause analysis to find desirable solutions. The basic crux of artificial intelligence is to solve problems just like humans.

Algorithm 354

Algorithm Artificial Intelligence Artificial Intelligence Data Science 354

The Stanford AI Lab Blog

OCTOBER 13, 2021

Selective classification, where models are allowed to “abstain” when they are uncertain about a prediction, is a useful approach for deploying models in settings where errors are costly. For example, in medicine, model errors can have life-or-death ramifications, but abstentions can be easily handled by backing off to a doctor, who then makes a diagnosis.

Neural Network 40

Neural Network Machine Learning Computational Linguistics Deep Learning 40

Advertisement

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

Eleuther.ai

OCTOBER 11, 2021

There are multiple ways of evaluating multiple choice tasks on autoregressive LMs like GPT-3/Neo/J. This post lays out the current prevalent normalization methods.

40

40

Analytics Vidhya

OCTOBER 15, 2021

This article was published as a part of the Data Science Blogathon What is Model Monitoring and why is it required? Machine learning creates static models from historical data. But, once deployed in production, ML models become unreliable and obsolete and degrade with time. There might be changes in the data distribution in production, thus causing […].

Data Drift 343

Data Drift Data Scientist Machine Learning Data Science 343

Analytics Vidhya

OCTOBER 10, 2021

This article was published as a part of the Data Science Blogathon Overview: Users formerly needed to know specialist languages, such as OpenGL, to use GPUs, which is related to their original purpose. These languages were designed specifically for GPUs, making them difficult to learn and use. GPUs, which were originally designed to speed up graphics […].

Deep Learning 351

Deep Learning Data Science Python 351

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction to Stock Market Prediction Stock market prediction and analysis are some of the most difficult jobs to complete. There are numerous causes for this, including market volatility and a variety of other dependent and independent variables that influence the value of a certain […].

Machine Learning 337

Machine Learning Data Science Deep Learning Python 337

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

AI

Analytics Vidhya

OCTOBER 15, 2021

This article was published as a part of the Data Science Blogathon Overview of Streamlit If you are someone who has built ML models for real-time predictions and wondering how to deploy models in the form of web applications, to increase their accessibility. You are at the right place as in this article you will be […]. The post Machine Learning Model Deployment using Streamlit appeared first on Analytics Vidhya.

Machine Learning 348

Machine Learning Data Science ML Python 348

Analytics Vidhya

OCTOBER 9, 2021

This article was published as a part of the Data Science Blogathon Overview: What is a web scraping and how does it work with Python? Interestingly, Web scraping is a word that refers to the practice of extracting and processing vast amounts of data from the internet using a computer or algorithm. Scraping data from the […]. The post A Detailed Guide on Web Scraping using Python framework!

Python 339

Python Data Science Algorithm 339

Analytics Vidhya

OCTOBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction Decorators are simply callables for decorating a function. It helps add new functionalities to a function without changing its original structure. In this article, we are going to learn the hows, whats, and whys of decorators. But before delving into Decorators we must […].

Python 335

Python Data Science 335

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Pre-requisites Knowledge of OpenCV is a must. Basic understanding of detection algorithm. Overview of Threat Detection Model We know that security is always a main concern in every area because of the rise in crime rates in crowded areas or in suspicious isolated areas. […]. The post How to create a Threat Detection Model using YOLOv3 appeared first on Analytics Vidhya.

Data Science 328

Data Science Algorithm Computer Vision Python 328

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 15, 2021

This article was published as a part of the Data Science Blogathon Introduction Docker is an open software platform for developing, running, and shipping applications. Docker is mainly designed to deliver your applications faster. Its main motto is that it allows you to separate your software applications from your usual infrastructure so that you can deliver […].

Data Science 316

Data Science 316

Analytics Vidhya

OCTOBER 12, 2021

This article was published as a part of the Data Science Blogathon Overview Malaria is a significant burden on our healthcare system and it is the major cause of death in many developing countries. It is endemic in some parts of the world which means that the disease is regularly found in the region. Therefore, early […]. The post Deep Learning based Malaria Detection Model for Beginners appeared first on Analytics Vidhya.

Deep Learning 325

Deep Learning Data Science Computer Vision Python 325

Analytics Vidhya

OCTOBER 9, 2021

This article was published as a part of the Data Science Blogathon Overview of Missing Data Real-world data is messy and usually holds a lot of missing values. Missing data can skew anything for data scientists and, A data scientist doesn’t want to design biased estimates that point to invalid results. Behind, any analysis is only […]. The post How to Deal with Missing Data using Python appeared first on Analytics Vidhya.

Python 324

Python Data Scientist Data Science Machine Learning 324

Analytics Vidhya

OCTOBER 12, 2021

This article was published as a part of the Data Science Blogathon Overview: Introduction to the R programming language Data Structures available in R: vectors, factors, matrices, lists, data frames Overview of conditional statements and functions Linear Regression Model Introduction R is a programming language created and developed in 1991 by two statisticians at the University […].

Data Science 306

Data Science 306

Advertisement

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Table of Contents — What is Automated Machine Learning? — Machine Learning Pipeline — Why Automation in Machine Learning — Autopilot — Six steps- Raw data to deployment — Parameters for Autopilot — Automated Machine Learning with Comprehend — Benefits & Working of Comprehend […].

Machine Learning 317

Machine Learning Automation Data Science 317

Analytics Vidhya

OCTOBER 13, 2021

This article was published as a part of the Data Science Blogathon Docker! Docker! Docker! We heard it so many times. What is it? Why is it used? Is it required? YES!! YES!! Docker is evolved into a vast area. Today we will explore pretty much everything about docker (I meant basics). What is DOCKER? […]. The post End-to-End Guide to Docker for aspiring Data Engineers appeared first on Analytics Vidhya.

Data Science 301

Data Science 301

Analytics Vidhya

OCTOBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction Sometimes it’s easy to give up on someone else’s driving. This is less stress, more mental space and one uses that time to do other things. Yes, that’s one of the ideas that grew and later became the idea behind Uber and Lyft. […]. The post End-to-End Predictive Analysis on Uber’s Data appeared first on Analytics Vidhya.

Data Science 300

Data Science Data Analysis Python 300

Analytics Vidhya

OCTOBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction Keras is a Python library that provides an API for dealing with Neural networks and Deep Learning frameworks. Keras provides methods and components that are useful while working with various Deep Learning applications in Python. What is Keras for Deep Learning? Previously, the […].

Neural Network 303

Neural Network Deep Learning Python Data Science 303

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Analytics Vidhya

OCTOBER 9, 2021

This article was published as a part of the Data Science Blogathon PySpark is a great tool for performing cluster computing operations in Python. PySpark is based on Apache’s Spark which is written in Scala. But to provide support for other languages, Spark was introduced in other programming languages as well. One of the support extensions […].

Python 286

Python Data Science 286

Analytics Vidhya

OCTOBER 14, 2021

This article was published as a part of the Data Science Blogathon Overview Most data scientists spend their time in data cleaning and preprocessing. Real-world datasets are always challenging. Before diving into the data, there are a few things I’d want to say, you should know how the data is generated and what features have an […]. The post Dealing with Missing Values for Data Science Beginners appeared first on Analytics Vidhya.

Data Science 279

Data Science Data Scientist Python Machine Learning 279

Analytics Vidhya

OCTOBER 12, 2021

This article was published as a part of the Data Science Blogathon Image 1 Making a switch from the traditional approaches to Agile methods can challenging for business analysts. Although there are plenty of resources available to support Agile teams, there are limited resources to guide Business Analysts to make a smooth transition to an […].

Data Science 277

Data Science 277