Sat.Feb 26, 2022 - Fri.Mar 04, 2022

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Audio Denoiser: A Speech Enhancement Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet. Some of us may live in a noisy environment where we can […]. The post Audio Denoiser: A Speech Enhancement Deep Learning Model appeared first on Analytics Vidhya.

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Learning Robust Real-Time Cultural Transmission without Human Data

DeepMind

In this work, we use deep reinforcement learning to generate artificial agents capable of test-time cultural transmission. Once trained, our agents can infer and recall navigational knowledge demonstrated by experts. This knowledge transfer happens in real time and generalises across a vast space of previously unseen tasks.

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Data Scientist Spotlight: Alex Tsourmas

DataRobot Blog

DataRobot is home to a treasure trove of Data Scientists. We’ve started a series called “Data Scientist Spotlight” as a way to meet the people behind the technology and introduce you to our great team. Introducing Alex Tsourmas. Alex works as a Customer-Facing Data Scientist within DataRobot’s Go-To-Market team, as the company continues to build its premier AI Cloud platform for organizations across the globe.

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Lessons learned on language model safety and misuse

OpenAI

We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.

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How To Get Promoted In Product Management

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.

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A Basic Introduction to Tensorflow in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Tensorflow framework is an open end-to-end machine learning platform. It’s a symbolic math toolkit that integrates data flow and differentiable programming to handle various tasks related to deep neural network training and inference. It enables programmers to design machine learning applications utilising […].

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A Basic Introduction to Activation Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The activation function is defined as follows: The activation function calculates a weighted total and then adds bias to it to decide whether a neuron should be activated or not. The Activation Function’s goal is to introduce non-linearity into a neuron’s output.

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Let’s Find Out How to Make Engaging Videos?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […].

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A Basic Introduction to Object Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Computer vision has advanced considerably but is still challenged in matching the precision of human perception. This article belongs to computer vision. Here we will learn from scratch. It can be challenging for beginners to distinguish between different related computer vision tasks.

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Basics of CNN in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. What is Convolutional Neural Network? Convolutional Neural Networks also known as CNNs or ConvNets, are a type of feed-forward artificial neural network whose connectivity structure is inspired by the organization of the animal visual cortex. Small clusters of cells in the visual cortex are […].

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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The Carbon Footprint of AI and Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. There are immense computational costs of Deep Learning and AI. Artificial intelligence algorithms, which power some of technology’s most cutting-edge applications, such as producing logical stretches of text or creating visuals from descriptions, may need massive amounts of computational power to train.

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Text Data Augmentation in Natural Language Processing with Texattack

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in […].

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What are Graph Neural Networks, and how do they work?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Neural Networks have acquired enormous popularity in recent years due to their usefulness and ease of use in the fields of Pattern Recognition and Data Mining. Deep Learning’s application to tasks such as object identification and voice recognition through the use of techniques […].

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Cricket Shot Classification using Pose of the Player Image

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Pose Detection is a subset of the Computer Vision (CV) technique that predicts the tracks and location of a person or object. This is done by looking at the combination of the poses and the direction of the given person or object. This […]. The post Cricket Shot Classification using Pose of the Player Image appeared first on Analytics Vidhya.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Gaussian Naive Bayes Algorithm for Credit Risk Modelling

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Source: Image In recent years, corporate banks’ credit evaluations have become more sophisticated. Credit evaluations have progressed from being subjective decisions by the bank’s credit experts to a more statistically advanced evaluation. Banks rapidly recognize the increased need for comprehensive credit risk […].

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Angle detection using computer vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview of Angle detection In this article, we will be making the angle detection application using computer vision we have often come across geometry in our high school and have struggled to draw the different angles using a protractor, though here also we will […]. The post Angle detection using computer vision appeared first on Analytics Vidhya.

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Pose detection in image using Mediapipe library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we will be doing pose detection using Mediapipe and OpenCV. We will go in-depth about all the processes and code for the same later in the article but before let’s understand some real-world use cases of Pose detection. Image Source: […]. The post Pose detection in image using Mediapipe library appeared first on Analytics Vidhya.

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Basic Introduction to Convolutional Neural Network in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The field of Deep Learning has materialized a lot over the past few decades due to efficiently tackling massive datasets and making computer systems capable enough to solve computational problems Hidden layers have ushered in a new era, with the old techniques being non-efficient, particularly […].

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How to Improve Email Deliverability and Optimize Each Send

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.

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Hand landmarks detection on an image using Mediapipe

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making hands landmarks detection model with the profound library i.e. mediapipe as the base library, and for other computer vision preprocessing CV2 libraries. There are many use cases in the market for this problem statement whether it’s […].

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Full Guide on Whatsapp Automation using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Introduction What is Whatsapp automation using python? What are its features? Let’s code! Errors and exceptions Handling error Can we do it another way? Conclusion Introduction Imagine, you turned on your pc, a message “Good Morning!” is automatically sent to your WhatsApp contact […].

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How to build a Recommendation System using Lenskit and evaluate it using nDCG in Python

Analytics Vidhya

Introduction Recommendation systems lie at the core of any good business. It is a very important tool that helps to attract new customers and retain existing customers by understanding their choices and recommending items which they might like. A good recommendation system greatly increases the overall experience of a user which in turn helps the […].

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Handling forms in Flask with Flask-WTForms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all know flask is a very rich Python framework, easy to use, simple, and hassle-free even for a beginner to start working on their web development project. Although it is a micro framework, still it provides all the stuff needed to develop […]. The post Handling forms in Flask with Flask-WTForms appeared first on Analytics Vidhya.

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Understanding User Needs and Satisfying Them

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.

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EDA and Recommendation System using The Big Bang Theory Show Dataset

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. img src: 1196.jpg (1920Ă—1080) (wallpapersdsc.net) In this article, we are going to use a dataset based on a popular TV Series “The Big Bang Theory”. We will perform a very basic level Exploratory Data Analysis (EDA) on the dataset and then make a recommendation […]. The post EDA and Recommendation System using The Big Bang Theory Show Dataset appeared first on Analytics Vidhya.