Analytics Vidhya

MARCH 30, 2022

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

Deep Learning 221

Deep Learning Visualization Data Science Publishing 221

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.

Deep Learning 224

Deep Learning Data Science Publishing Modeling 224

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 265

Deep Learning Data Science Publishing Analytics 265

Insight

MAY 16, 2019

It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. Pinterest developed a visual search engine which uses an object detection pipeline for content recommendation.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

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 196

Visualization Data Science Publishing Analytics 196

Smart Data Collective

JUNE 4, 2021

Visual graphs are the core of descriptive statistics. Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high. Use deep learning techniques for image recognition.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Cloudera

FEBRUARY 25, 2021

The work of a machine learning model developer is highly complex. They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Here’s a preview of what you can leverage with one click in CML: Deep Learning for Anomaly Detection.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

Analytics Vidhya

DECEMBER 10, 2021

Introduction Analytics Vidhya has been at the helm when it comes to publishing high-quality content since the beginning of its inception. From the latest developments to guiding people through the thorns of career, Analytics Vidhya has it all in its blog archives.

Data Science 306

Data Science Publishing Analytics IT 306

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. Data Compression is a big topic used in computer vision, computer networks, and many more. This is a more […].

Recreation/Entertainment 296

Recreation/Entertainment Machine Learning Data Science Publishing 296

Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. 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. For the Q3-21 quarter, the total transactions were 526.8

IT 246

IT Data Science Publishing Reporting 246

Domino Data Lab

JULY 15, 2021

Originally created for software development, Python is used in a variety of contexts, including deep learning research and model deployment. RStudio is an IDE for the R language used primarily for statistical analysis as well as data visualization. Launchpad: Allows you to publish your deployed models in different formats.

Data Science 145

Data Science Visualization Modeling Enterprise 145

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). billion, with the market growing by 31.1%

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Domino Data Lab

OCTOBER 9, 2019

The web site provides tools to visualize and download specific signals and time ranges: One of my favorite sessions at EDM (as one might imagine) was about Metadata Tools. It introduced two interesting practices, over and above publishing metadata to describe datasets, described by Tyler Christensen : machine-readable data dictionaries.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

FineReport

OCTOBER 21, 2019

Pro: Stunning Data Visualization . Unparalleled capabilities of visualizing information are on top of the list of Tableau software benefits. Using unique visualization technology, we can quickly analyze data by expressing the analysis results using colors, shapes, and sizes. Pro: R script visualization. From Google.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

Cloudera

SEPTEMBER 20, 2022

A “comic book” in this context is a story told visually through a series of images, and optionally (though often) in conjunction with written language, e.g., in speech bubbles or as captions. Deep learning models are data hungry, and state-of-the-art systems like DALL·E 2 are trained with massive data sets of images scraped from the internet.

Deep Learning 87

Deep Learning Cost-Benefit Risk Data-driven 87

IBM Big Data Hub

AUGUST 11, 2023

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. Generative AI is a type of deep-learning model that takes raw data, processes it and “learns” to generate probable outputs.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

CONTACT Software

FEBRUARY 19, 2019

In line with this, Gartner has now published a “ Magic Quadrant for Data Science and Machine Learning Platforms “ The document itself can only be viewed behind a paywall, but on the net some of the companies mentioned in the report offer access to the document by entering the address.

Data Science 40

Data Science Statistics Machine Learning Deep Learning 40

Insight

MARCH 4, 2020

In this blog, I’ll describe how to solve this with Contextual Topic Identification, leveraging machine learning methods to identify semantically similar groups and surface relevant category tags of the reviews. Steam review screenshot Dataset I used the Steam Review Dataset , published on Kaggle as a .csv

Visualization 81

Visualization Modeling Metrics Measurement 81

Insight

OCTOBER 25, 2019

The latter is particularly restricting, as it violates the prerequisite of many deep learning methods for image classification?—?a They start with different strategies to transform 3-D into 2-D, followed by distinct machine learning approaches. One being the 3-D nature of our images. a large number of training images.

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

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). The first related to pure deep learning and its amazingness, I was familiar with this one. Pretty damn fast. It truly is mind-blowing.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

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. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). The data types used in deep learning are interesting. One-fifth use reinforcement learning.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

DataRobot

NOVEMBER 9, 2021

“One look is worth a Thousand Words” This phrase was used in 1913 to convey that graphics had a place in newspaper publishing. When we convert the single channel audio signal time series into an energy spectrogram, it allows us to run state of the art deep learning architectures on the image. . Image courtesy towardsAI.

Visualization 52

Visualization Unstructured Data Statistics Metrics 52

Insight

DECEMBER 30, 2019

Take a look at this animation from Wikipedia to visualize what is happening: Figure 3?—?animation A warped wall detector: a qualitative look at kernels If you visualize your input image as a 2-D array of pixels, imagine a much smaller 2-D array called a “kernel” sweeping across it, kind of like this: Figure 4?—?Visualization

Visualization 72

Visualization Modeling Machine Learning IT 72

Insight

MARCH 28, 2019

Visualize Glassdoor reviews from your dream companies Yanxia Li built CompanySnapshot, a tool to help individuals visualize Glassdoor employee reviews, reducing the time needed to thoroughly review a company’s Glassdoor profile. After his time at Insight, John was hired by Deep Macro as a data scientist. CompanySnapshot?—?Visualize

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

Domino Data Lab

JULY 9, 2019

” And using deep learning we can even go beyond that and we can say, “Here’s how editor number 12 is probably going to re-balance it,” versus, “Here’s…” You can actually learn different editor styles if you have enough data set. And it works. We crowdsourced it.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Keras is an open source deep learning API that was written in Python and runs on top of Tensorflow, so it’s a little more user-friendly and high-level than Tensorflow.

Metrics 58

Metrics Optimization Modeling Testing 58

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. They’d like to do something more efficient when they’re training a lot of deep learning models.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

APRIL 3, 2019

We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks. Agile Manifesto get published. In short, the virtuous cycle is growing. We keep feeding the monster data. Disconnects, in a nutshell. Apache NiFi also touches on some DG concerns.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smart Data Collective

OCTOBER 13, 2021

It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Deep learning,” for example, fell year over year to No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20