Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Computer Vision Is one of the leading fields of Artificial Intelligence that enables computers and systems to extract useful information from digital photos, movies, and other visual inputs.

Deep Learning 278

Deep Learning Machine Learning Visualization Data Science 278

Analytics Vidhya

MARCH 30, 2022

This article was published as a part of the Data Science Blogathon. Computer vision and deep learning […]. The post The Scientific Discipline of Computer Vision appeared first on Analytics Vidhya.

Deep Learning 238

Deep Learning Visualization Data Science Publishing 238

Analytics Vidhya

JANUARY 24, 2024

Introduction Tableau is a powerful data visualization tool that allows users to analyze and present data interactively and meaningfully. It helps businesses make data-driven decisions by providing easy-to-understand insights and visualizations.

Visualization 312

Visualization Data-driven Interactive Analytics 312

Analytics Vidhya

FEBRUARY 27, 2024

Introduction Visual presentations are indispensable for effective communication. This article will explore seven tools to help you create stunning presentations that will captivate your audience and effectively convey your message.

Visualization 259

Visualization Analytics Deep Learning Machine Learning 259

Analytics Vidhya

FEBRUARY 28, 2024

Introduction Have you ever wanted to turn your words into visually stunning images? In this article, we will walk you through how to access Google ImageFX, generate images from text, save and […] The post A Step-by-Step Guide to Create Images from Text with Google ImageFX appeared first on Analytics Vidhya.

Visualization 254

Visualization Analytics Deep Learning Machine Learning 254

Analytics Vidhya

JANUARY 6, 2023

This article was published as a part of the Data Science Blogathon. Introduction The UNet architecture is a deep learning model specifically designed for image segmentation tasks. The post Top 8 Interview Questions on UNet Architecture appeared first on Analytics Vidhya.

Deep Learning 235

Deep Learning Data Science Publishing Modeling 235

Analytics Vidhya

APRIL 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction As data volume increases, deep learning techniques tend to. The post A Complete Guide to Tensorboard appeared first on Analytics Vidhya.

Deep Learning 275

Deep Learning Data Science Publishing Analytics 275

Analytics Vidhya

FEBRUARY 4, 2022

Overview Motivation to Learn R Covering the BASICS & MUST KNOW Concepts in R Introduction Since you are reading this article, I am assuming that right now you are in your journey of becoming a data scientist. There is a high possibility that you already are aware of some of the data visualization and analytics […].

Visualization 246

Visualization Analytics Deep Learning Statistics 246

Analytics Vidhya

APRIL 26, 2024

In this article we’ll train Data-efficient GANs with Adaptive Discriminator Augmentation that addresses the challenge of limited training data. appeared first on Analytics Vidhya. Introduction Generative adversarial networks are a popular framework for Image generation.

Modeling 264

Modeling Analytics Unstructured Data Deep Learning 264

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Convolutional Neural Network is a specialized neural network designed for visual […]. Convolutional Neural Network is a specialized neural network designed for visual […]. Source: Author Let’s begin the journey!!

Visualization 211

Visualization Data Science Publishing Analytics 211

Analytics Vidhya

JANUARY 3, 2022

This article was published as a part of the Data Science Blogathon. Data Preprocessing: Data preparation is critical in machine learning use cases. The post Complete Guide to Anomaly Detection with AutoEncoders using Tensorflow appeared first on Analytics Vidhya. This is a more […]. This is a more […].

Recreation/Entertainment 308

Recreation/Entertainment Machine Learning Data Science Publishing 308

Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya. Introduction Phonepe, Google Pay (Tez) are ubiquitous names in the Indian payment ecosystem and the top two players in the area. According to Phonepe pulse report, it has133 million monthly active users as of July’21. Cr […].

IT 260

IT Data Science Publishing Reporting 260

Sisense

APRIL 10, 2020

R: Analytics powerhouse. It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. We’ll actually do this later in this article. R libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve. appeared first on IBM Blog.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). Azure Text Analytics.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

Smart Data Collective

NOVEMBER 1, 2020

With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? If you’ve ever come across deep learning, you might have heard about two methods to teach machines: supervised and unsupervised.

Machine Learning 133

Machine Learning Data mining Visualization Statistics 133

Smarten

OCTOBER 18, 2023

Recent research reveals that deep learning model training resources have doubled every 3.4 The number of parameters is unknown but this version has the capacity to handle more complex problems and analysis and to analyze visual images. Explore our AI And GPT Articles Here. Contact Us to find out more.

Consulting 52

Consulting Digital Transformation Software Deep Learning 52

Domino Data Lab

JULY 28, 2021

In this article, we will provide an overview of the three overlapping components of data science, the importance of communication and collaboration, and how the Domino Data Lab MLOps platform can help improve the speed and efficiency of your team. At this stage, data scientists begin writing code for computation and model-building.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

FineReport

DECEMBER 19, 2019

At the same time, it also advocates visual exploratory analysis. The visualization component library of FineReport is very rich. For newbies, a tool with low learning difficulty but powerful analytical performance cannot be better. Besides, Matplotlib and Seaborn are the main visualization tools of Python.

Knowledge Discovery 98

Knowledge Discovery Visualization Reporting Experimentation 98

FineReport

OCTOBER 21, 2019

BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. In this article, I compared the top 5 BI tools of 2019 based on the overall ease-of-use, BI features, and the price. Pro: Stunning Data Visualization . Pro: R script visualization.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI technology in commerce—such as deploying deep learning models trained on inadequate or inappropriate data—lead to bad experiences that alienate both consumers and businesses.  The applications of AI in commerce are vast and varied.

B2B 59

B2B Interactive Optimization Forecasting 59

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. It would access vast customer data and combine it with real-time analytics for efficient and personalized service. It analyzes historical data and news articles, confirming a possible market correction.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

Domino Data Lab

JULY 28, 2021

In this article, take a deep dive into data science and how Domino’s Enterprise MLOps platform allows you to scale data science in your business. They have enabled new cross-industry applications, such as in customer analytics and fraud detection. In fact, deep learning was first described theoretically in 1943.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Business Over Broadway

SEPTEMBER 5, 2018

Even though natural events such as floods, earthquakes or hurricanes are inevitable, I believe that their impact can be mitigated through the application of data and analytics. Using machine learning, deep learning, and visual recognition to improve critical processes. trillion since 2003. GRAND PRIZE: $200,000.00

Data Science 57

Data Science Statistics Advertising Deep Learning 57

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. Welcome back to our monthly burst of themes and conferences.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Predictive analytics, yeah, not so much.” Greg Linden ‘s article about splitting the website on Amazon.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Market sentiment analysis : Events can significantly influence market sentiment.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Occam's Razor

AUGUST 28, 2017

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). Why in my areas of expertise, marketing, sales, customer service and analytics, the impact will be deep and wide. Pretty damn fast.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Even for organizations engaged in markedly different verticals, there is much to learn from them on how to approach data practices.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Domino Data Lab

MARCH 3, 2019

Seriously, this entire article merely skims the surface of those reports. Check the end of this article for key guidance synthesized from the practices of the leaders in the field. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018).

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

DataRobot Blog

DECEMBER 20, 2022

In this article, we’ll showcase the ability of AI to improve the quality of the potential investment’s future performance, with a specific example from the real estate segment. In this article, we’ll first take a closer look at the concept of Real Estate Data Intelligence and the potential of AI to become a game changer in this niche.

Management 59

Management Machine Learning Optimization Modeling 59

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. It used deep learning to build an automated question answering system and a knowledge base based on that information. It just looks like plausible English.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

JULY 9, 2019

The importance of data scientists having analytical technical skills coupled with the ability to clearly and concisely communicate with non-technical stakeholders. In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” This was one of several such articles, but that’s another talk. .”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

OCTOBER 14, 2020

Guest post by Jeff Melching, Distinguished Engineer / Chief Architect Data & Analytics. We’ve developed a model-driven software platform, called Climate FieldView , that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99

Domino Data Lab

SEPTEMBER 9, 2019

This article provides a brief introduction to natural language using spaCy and related libraries in Python. This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. Introduction. Cupertino GPE?

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110