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 […].

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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.”

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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.

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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.

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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 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!

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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).

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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.

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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.

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Generative AI

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.

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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 […].

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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.

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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.

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Algorithm Artificial Intelligence Artificial Intelligence Data Science 353

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 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.

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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 […].

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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 […].

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Machine Learning Automation Data Science 347

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.

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Data Science Algorithm Computer Vision Python 336

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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 […].

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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 […].

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Neural Network Deep Learning Python Data Science 331

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.

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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 […].

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Machine Learning Data Science Deep Learning Python 323

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 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 […].

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Data Science 306

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.

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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 296

Data Science 296

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 […].

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Data Science 296

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Data Analysis

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 […].

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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.

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Data Science Data Scientist Python Machine Learning 294

Analytics Vidhya

OCTOBER 9, 2021

This article was published as a part of the Data Science Blogathon Hey guys! Good day to all, today we are going to see an interesting algorithm in the Machine Learning technique, called Logistic Regression. So before getting into the topic, we shall brush up on some basic terminologies, to understand it clearly. What is […]. The post Building an End-to-End Logistic Regression Model appeared first on Analytics Vidhya.

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