Analytics Vidhya

APRIL 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here. Source: Link Identifying a custom object […]. The post Object Detection Using Haar Cascade: OpenCV appeared first on Analytics Vidhya.

Data Science 400

Data Science 400

DataRobot Blog

MARCH 30, 2022

This blog is meant to be a fun take on predicting Song and Record of the Year for the 64th Annual GRAMMY Awards. It’s that time of year again. The GRAMMY awards are right around the corner, which means that we have yet another opportunity to leverage DataRobot to make some fun predictions as to who will win Song and Record of the Year. Last year, Billie Eilish went back-to-back, winning Record of the Year for her smash hit “everything i wanted,” and H.E.R took home Song of the Year for her power

Data Scientist 98

Data Scientist ML Machine Learning AI 98

StreamHacker

MARCH 30, 2022

dadmfers is the first mfers derivative project, and they just recently released BackgroundMfers , a series of dadmfers inspired banner images. This required a new contract, with some additional complexity because of the number of mint options. The contract provides 5 separate minting functions for getting your background mfers NFTs: Public mint for anyone Mfer mint, for anyone that has mfers, at a reduced price Whitelist mint, free anyone on their list Dadmfers v1 mint for free Dadmfers v2 mint

Python 52

Python 52

Dlabs.ai

MARCH 30, 2022

Accurate forecasts are the bedrock of most successful businesses. Forecasts give you a clearer picture of the future, and these pictures allow you to create an effective plan. In retail, for example, an accurate forecast can help you plan how much inventory to stock, how many customer service agents to have on standby, and how to avoid running into a cash flow problem if you spot material cost increases down the line.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Explainability 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

APRIL 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance. We’ll go through how this works and look at some of the most common corporate applications. We’ll also discuss the analysis’ […].

Data Science 400

Data Science Deep Learning NLP 400

NLPhilia

MARCH 30, 2022

Rapport is a fundamental NLP skill, and if you can’t get rapport with the person you’re helping — or who is helping you — everything is much, much more difficult. I doubt you’ve been in a more difficult situation that Dr. Jack Schafer, though. He is a former Supervisory Special Agent with the FBI, and part of his job was turning foreign spies into double-agents.

NLP 40

NLP 40

The Stanford AI Lab Blog

MARCH 28, 2022

[Summary] tl;dr: A tremendous amount of effort has been poured into training AI algorithms to competitively play games that computers have traditionally had trouble with, such as the retro games published by Atari, Go, DotA, and StarCraft II. The practical machine learning knowledge accumulated in developing these algorithms has paved the way for people to now routinely train game-playing AI agents for many games.

Algorithm 52

Algorithm Auto-classification Automation Auto-complete 52

Analytics Vidhya

APRIL 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn how to make a real-time blink detector application using computer vision. Also, we will be using more libraries and mathematics to build such an application while going through a complete pipeline and code-by-code analysis. […].

Computer Vision 399

Computer Vision Data Science Python 399

DataRobot Blog

MARCH 28, 2022

DataRobot provides a Machine Learning platform that allows data scientists and citizen data scientists to quickly and efficiently prepare, build and evaluate many competing models in order to identify the optimal algorithm to solve the use case. The model can then be deployed, managed, monitored and automatically re-trained by the platform. As companies make the move to a cloud native architecture it is important to find appropriate workloads to move; Machine Learning is a great candidate to sta

Data Scientist 52

Data Scientist Machine Learning Data Science Automation 52

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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

APRIL 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Jupyter Notebook is a web-based interactive computing platform that many data scientists use for data wrangling, data visualization, and prototyping of their Machine Learning models. It is easy to use the platform, and we can do programming in many languages like Python, Julia, R, etc. […].

ML 361

ML Data Scientist Machine Learning Python 361

Analytics Vidhya

APRIL 1, 2022

Introduction Data Science is becoming one of the most lucrative sectors that professionals want to switch to from other domains. It is the same for freshers as well, with a growing number of fresh graduates wishing to join various professions that come under Data Science. However, there is a major problem that both candidates and […]. The post Ways to Transition into Data Science: Fresh Graduates and Experienced Professionals up to 5 years appeared first on Analytics Vidhya.

Data Science 348

Data Science 348

Analytics Vidhya

APRIL 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction A loan default occurs when a borrower takes money from a bank and does not repay the loan. People often default on loans due to various reasons. Borrowers who default on loans not only damage their credit but also risk being sued […]. The post Predicting Possible Loan Default Using Machine Learning appeared first on Analytics Vidhya.

Machine Learning 342

Machine Learning Data Science Algorithm Python 342

Analytics Vidhya

MARCH 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how the human brain functions? There’s a good possibility you learned about it in school. The function of ANN is the same as that of neurons in the human nervous system. Let’s get this Artificial Neural Networks lesson started. […].

Neural Network 284

Neural Network Data Science Deep Learning Python 284

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

MARCH 31, 2022

Source: Unsplash Introduction Applying for jobs and preparing for multiple rounds of interviews with multiple companies can be more stressful than the existing job for many. The anticipation of what might be asked and how it might be asked can give sleepless nights. Today, I am going to try covering a tiny topic from the […]. The post Common A/B Testing Questions Asked During Interviews appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction We will be analyzing fitness information in this article completely in Excel. Excel has some inbuilt functions which we could use to make our analysis stand out. About the Data Analysis The data is publicly available on Kaggle. It includes fitness information collected by the contributor […].

Data Analysis 284

Data Analysis Data Science 284

Analytics Vidhya

MARCH 31, 2022

Introduction We are going to do an analysis of the covid-19 data available with us for the first and second waves in India to understand the different stages of the coronavirus pandemic during that period. What is Covid-19? Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Its origin was Wuhan City, […]. The post An Analysis on COVID-19 in India appeared first on Analytics Vidhya.

Python 283

Python 283

Analytics Vidhya

MARCH 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Linear Regression Image 1: Sales vs Budget data with a linear model representation Linear regression is a statistical method that presumes a linear relationship between the input and the output variables. In the given example above we can see that budget is the […].

Explainability 271

Explainability Data Science Machine Learning 271

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Analytics Vidhya

MARCH 28, 2022

Introduction The concept of a metaverse offers an inclusive digital world that empowers online interaction with other people or platforms. For instance, rather than just talking to someone over a voice call or through texting, you can use your digital avatars to take a walk with your friend while chatting or even have some coffee […]. The post How Data will Shape Metaverse?

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Analytics Vidhya

MARCH 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction AI and machine vision, which were formerly considered futuristic technology, has now become mainstream, with a wide range of applications ranging from automated robot assembly to automatic vehicle guiding, analysis of remotely sensed images, and automated visual inspection.

Computer Vision 270

Computer Vision Deep Learning Robotics Automation 270

Analytics Vidhya

MARCH 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Any company in existence today thrives to make a profit. Insurance companies are profitable when the claims that they issue are lesser than the premiums they receive. This is the real-world problem we are going to tackle today. If there is a method […]. The post Solve a Real-world Problem Using Classical Machine Learning appeared first on Analytics Vidhya.

Machine Learning 270

Machine Learning Data Science Python 270

Analytics Vidhya

MARCH 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn to detect the faces in the image using the Mediapipe library we might see different algorithms and models that could perform the same task. Here we will discuss the detection pipeline with the help of the Mediapipe […]. The post Detect the Faces in the Image using the Mediapipe Library appeared first on Analytics Vidhya.

Data Science 270

Data Science Algorithm Computer Vision 270

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

MARCH 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis helps in identifying any outlier data points, understanding the relationships between the various attributes and structure of the data, recognizing the important variables. It helps in framing questions and visualizing the results, paving the way to make an informed choice […].

Data Analysis 270

Data Analysis Data Science Machine Learning 270

DataRobot Blog

APRIL 1, 2022

The Top Three Challenges in AI Preventing Your Organization from Getting to the Next Level (and How to Solve Them). It’s no secret that many organizations are using AI to make crucial business decisions. But the secret for getting an actual benefit from AI is not as simple as developing some models or purchasing an AI platform. Using AI is like using your treadmill (I’m a runner, so I’m a bit biased here) or any other sports equipment.

Data Scientist 59

Data Scientist Machine Learning ML Data Science 59