KDnuggets

NOVEMBER 14, 2022

In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems.

Machine Learning 153

Machine Learning Metrics 153

Domino Data Lab

MAY 15, 2019

Activity Feed. Activity Feed. Activity Feed is a new page within the Lab with an easy to follow, chronological log of changes to projects. Activity Feed. While helpful tracking an individual’s progress, Activity Feed really shines when collaborating with a team. Activity Feed. Activity Feed.

Testing 65

Testing Management Modeling Data Science 65

Analytics Vidhya

JANUARY 31, 2023

The machine learning algorithms heavily rely on data that we feed to them. The quality of data we feed to the algorithms […] The post Practicing Machine Learning with Imbalanced Dataset appeared first on Analytics Vidhya. But are they still useful without the data? The answer is No.

Machine Learning 305

Machine Learning Analytics Structured Data 305

Analytics Vidhya

SEPTEMBER 7, 2023

Introduction Have you ever wondered why your social media feed seems to predict your interests with uncanny accuracy, or why certain individuals face discrimination when interacting with AI systems? The answer often lies in algorithmic bias, a complex and pervasive issue within artificial intelligence.

Interactive 337

Interactive Analytics IT 337

Sisense

AUGUST 4, 2021

COVID-19 is a huge data story in many ways, and food delivery analytics are a big part of that. Online food ordering in 2020 hit $115 billion globally and could reach nearly $127 billion in 2021 according to an April 2021 report.

Analytics 119

Analytics Optimization Marketing Sales 119

Analytics Vidhya

AUGUST 17, 2023

This glitch led to unexpected Stories being posted to users’ feeds and uncharacteristic behavior in chats. Snapchat, the popular social media platform known for its dynamic features, recently faced a technical glitch involving its AI-powered chatbot, My AI.

Analytics 271

Analytics IT 271

Analytics Vidhya

AUGUST 5, 2022

It’s cool to train your system to label the images you feed to it. This article was published as a part of the Data Science Blogathon. Introduction Image caption generator is the most fascinating application I found while working with NLP. As interesting as it sounds, it is equally challenging to implement this application. It […].

Data Science 379

Data Science Publishing Analytics IT 379

Analytics Vidhya

JANUARY 29, 2023

Artificial Intelligence (AI) is human-like intelligence shown by machines trained by feeding data. There’s no doubt that new technologies like AI & Web3 come with the potential to change the digital society.

Technology 323

Technology Analytics IT IoT 323

Ontotext

SEPTEMBER 1, 2023

The post Generative AI – How to Care For, and Properly Feed, Chatty Robots appeared first on Ontotext.

Risk 52

Risk Modeling Data Quality Data Governance 52

Analytics Vidhya

MARCH 2, 2022

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. This article was published as a part of the Data Science Blogathon. What is Convolutional Neural Network?

Deep Learning 388

Deep Learning Visualization Data Science Publishing 388

Analytics Vidhya

JANUARY 16, 2023

Introduction Agriculture plays a crucial role in feeding the growing global population; however, farmers are facing increasing challenges in crop yields due to climate change, water scarcity, and the need for sustainable farming practices. This article was published as a part of the Data Science Blogathon.

Data Science 304

Data Science Publishing Analytics Deep Learning 304

Analytics Vidhya

DECEMBER 30, 2022

Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon? This article was published as a part of the Data Science Blogathon.

Data Science 303

Data Science Publishing Analytics Big Data 303

Analytics Vidhya

OCTOBER 31, 2023

Virtual characters in our social networking feeds, the predominance of text-to-image resources, and ChatGPT‘s success are only a few reasons for the hype. Introduction Generative AI is currently attracting people’s curiosity worldwide.

Analytics 208

Analytics 208

Analytics Vidhya

FEBRUARY 20, 2023

Decomposing time series components like a trend, seasonality & cyclical component and getting rid of their impacts become explicitly important to ensure adequate data quality of the time-series data we are working on and feeding into the model […] The post Various Techniques to Detect and Isolate Time Series Components Using Python appeared (..)

Forecasting 284

Forecasting Data Quality Modeling Analytics 284

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary.

Machine Learning 271

Machine Learning Data Science Modeling Analytics 271

Analytics Vidhya

DECEMBER 8, 2021

Are you confused about what number to feed in the seed? This article was published as a part of the Data Science Blogathon Introduction What is numpy.random.seed? For what situation can I use this function? In case you have any of these or all questions in your mind. You have come to the right place. This article will answer […].

Data Science 360

Data Science Publishing Analytics Machine Learning 360

Analytics Vidhya

AUGUST 26, 2020

Overview GANs are generative models, they create what you feed them. We have listed down 4 prominent GAN Libraries Introduction Currently, GAN is. The post 4 Impressive GAN Libraries Every Data Scientist Should Know! appeared first on Analytics Vidhya.

Modeling 399

Modeling Analytics Deep Learning 399

Analytics Vidhya

FEBRUARY 17, 2022

Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. This article was published as a part of the Data Science Blogathon. Missing data in your dataset could be due to multiple reasons like 1) The data was not available. 2) The […].

Machine Learning 314

Machine Learning Data Science Publishing Modeling 314

Analytics Vidhya

SEPTEMBER 7, 2021

First, we have to arrange the data in batches, then we have to feed the batched data to the model in the epoch loop. This article was published as a part of the Data Science Blogathon Introduction The deep learning algorithms required the data in a specific order or shape. You will learn through this article […].

Deep Learning 316

Deep Learning Data Science Publishing Modeling 316

Analytics Vidhya

APRIL 24, 2023

Introduction We live in a world where social media platforms shape our interests, tailor our news feeds, and provide customized content, all thanks to machine learning! With machine learning (ML), a branch of artificial intelligence (AI), software programs can predict outcomes more accurately without being explicitly instructed.

Machine Learning 271

Machine Learning Software Analytics Technology 271

David Menninger's Analyst Perspectives

MARCH 9, 2022

Manual data acquisition methods are resource-intensive and can take weeks or months to get the data ready to feed into models. Internal data is usually not enough to train different models because of its narrow scope of usage and lack of relevance.

Machine Learning 260

Machine Learning Modeling Sales IT 260

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Whenever we build any machine learning model, we feed it. The post 4 Ways to Evaluate your Machine Learning Model: Cross-Validation Techniques (with Python code) appeared first on Analytics Vidhya.

Machine Learning 244

Machine Learning Modeling Data Science Publishing 244

DataKitchen

FEBRUARY 27, 2024

Validation testing is a safeguard, ensuring that the data feeding into LLMs is of the highest quality. Feeding this unstructured data into LLMs without proper contextualization risks creating noise instead of clarity. Conclusion The journey toward deploying effective and reliable LLMs is challenging but offers significant rewards.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

Dataiku

APRIL 27, 2022

There are many ways to achieve scale in AI and machine learning (ML) — scale up, scale out, elastic scale. But taking a more granular approach to scaling your AI/ML projects can pay dividends. The best way to understand scale for an AI and ML platform is to look at each step in the lifecycle of a project.

Machine Learning 59

Machine Learning 59

Corinium

APRIL 17, 2020

But the data architectures that feed into them are just as vital. Sophisticated ML-as-a-service platforms such as Facebook’s FBLearner Flow are ideal for delivering AI-at-scale. Automation is what AI algorithms do best.

Data Architecture 221

Data Architecture Enterprise Technology IT 221

IBM Big Data Hub

NOVEMBER 22, 2019

Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a few challenges to contend with. His business units had a presence in 180 countries worldwide with geographically-dispersed data warehouses and business intelligence applications in various locations.

Data Lake 94

Data Lake Data Warehouse Business Intelligence Analytics 94

Smart Data Collective

OCTOBER 27, 2022

Subscribe To Vulnerability & Advisory Feeds. There are a number of feeds, alerts, and websites particularly dedicated to this, and are constantly monitored by the infosec community. However, given the sheer scale of breaches and attacks these days, staying in sync, or following these feeds can often be quite overwhelming for most.

Risk 126

Risk IT Strategy Marketing 126

IBM Big Data Hub

DECEMBER 18, 2023

Up to this point, authoritative DNS providers have approached this challenge in one of two ways: Overwhelm network teams with data Several authoritative DNS providers offer raw data feeds as an add-on feature. DNS Insights is a targeted data feed drawn from a wide variety of DNS and network metrics.

Dashboards 82

Dashboards Data Lake Metrics Sales 82

KDnuggets

NOVEMBER 16, 2022

How LinkedIn Uses Machine Learning To Rank Your Feed • Confusion Matrix, Precision, and Recall Explained • Matrix Multiplication for Data Science (or Machine Learning) • Machine Learning from scratch: Decision Trees • 7 Python Projects for Beginners.

Machine Learning 108

Machine Learning Data Science 108

David Menninger's Analyst Perspectives

AUGUST 13, 2019

Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase.

Internet of Things 209

Internet of Things IT Business Intelligence Machine Learning 209

CIO Business Intelligence

MAY 5, 2023

s enhanced “iteration on prompts” to feed scrubbed and formatted data for thousands of used cars into a DaVinci model. Data is the core of everything we’re doing because it feeds our machine learning algorithm that feeds our AI capability,” he says. In this early use case, the CarMax team employed GPT 3.5’s

Digital Transformation 145

Digital Transformation Cost-Benefit Business Driver Data Lake 145

KDnuggets

MARCH 7, 2022

You will build a simple web application that is able to feed user input into a machine learning model, and display an output prediction to the user. In this article, you will learn to export your models and use them outside a Jupyter Notebook environment.

Machine Learning 127

Machine Learning Modeling 127

KDnuggets

NOVEMBER 21, 2022

Git for Data Science Cheatsheet • 6 Best Free Online Courses to Learn Python and Boost Your Career • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • How LinkedIn Uses Machine Learning To Rank Your Feed • 7 SQL Concepts You Should Know For Data Science.

Data Science 100

Data Science Machine Learning 100

CIO Business Intelligence

AUGUST 1, 2023

What’s the going price for feed? The solution can enhance productivity, making it possible for users to determine the optimum placement of farm animals according to pasture cycle or feed availability and by keeping accurate track of feeding tasks, breeding activity, sanitary controls, and vaccinations.

Cost-Benefit 98

Cost-Benefit Digital Transformation ROI Marketing 98

Dataiku

NOVEMBER 29, 2022

Which means t-minus five weeks away from New Year’s Day, when conversations and social media feeds will be inundated with talks of resolutions — losing weight, exercising more, reducing screen time, getting that promotion, putting more money aside for savings, starting a meditation practice — you get the idea.

98

98

CIO Business Intelligence

OCTOBER 19, 2023

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. By taking up these challenges head-on, enterprises can not only utilize the data feeds optimally but will also inform their decision-making. CIO, Data Integration

Data Integration 122

Data Integration Unstructured Data Data-driven Data Warehouse 122

O'Reilly on Data

APRIL 9, 2024

I can talk about sales funnels, double opt in, transactional emails, drip feeds. I can talk about rigid body dynamics, matrix normalization, quaternions. I worked in marketing automation. I worked in mobile games. I can talk about level design. Of one way systems to force player flow. Of stepped reward systems.

Testing 191

Testing Software Sales Marketing 191