Analytics Vidhya

AUGUST 19, 2021

ArticleVideo Book Written by: Avinash Kumar Pandey (Research Associate, ISB Hyderabad) Introduction: In this article, we will learn how to apply deep convolutional networks. The post Hands-On Stock Price Time Series Forecasting using Deep Convolutional Networks appeared first on Analytics Vidhya.

Forecasting 301

Forecasting Analytics Deep Learning 301

Analytics Vidhya

APRIL 28, 2022

The post An End-to-End Guide on Time Series Forecasting Using FbProphet appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. […].

Forecasting 234

Forecasting Data Science Publishing Analytics 234

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The post Introduction to Artificial Neural Networks appeared first on Analytics Vidhya. The […].

Deep Learning 259

Deep Learning Forecasting Data Science Publishing 259

Analytics Vidhya

NOVEMBER 1, 2021

Deep learning algorithms can have huge functional uses when provided with quality data to sort through. Diverse fields such as sales forecasting and […]. The post Employee Attrition Prediction – A Comprehensive Guide appeared first on Analytics Vidhya.

Deep Learning 297

Deep Learning Forecasting Sales Data Science 297

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”). Access to data has done that.

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

Analytics Vidhya

OCTOBER 28, 2021

Deep learning algorithms can have huge functional uses when provided with quality data to sort through. Diverse fields such as sales forecasting and […]. The post Beginner’s guide on How to Train a Classification Model with TensorFlow appeared first on Analytics Vidhya.

Modeling 241

Modeling Deep Learning Forecasting Sales 241

Analytics Vidhya

OCTOBER 28, 2020

Overview This article will see how to create a stacked sequence to sequence the LSTM model for time series forecasting in Keras/ TF 2.0. . The post Multivariate Multi-step Time Series Forecasting using Stacked LSTM sequence to sequence Autoencoder in Tensorflow 2.0 / Keras appeared first on Analytics Vidhya.

Forecasting 176

Forecasting Modeling Analytics Deep Learning 176

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics 143

Predictive Analytics Analytics Predictive Modeling Forecasting 143

KDnuggets

DECEMBER 15, 2022

Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.

Data Science 149

Data Science Deep Learning Forecasting Machine Learning 149

Analytics Vidhya

OCTOBER 28, 2022

Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. The post Non-Generalization and Generalization of Machine learning Models appeared first on Analytics Vidhya.

Machine Learning 358

Machine Learning Modeling Forecasting Data Science 358

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. 5G aids customer service.

Predictive Analytics 144

Predictive Analytics Technology Analytics Machine Learning 144

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

Analytics Vidhya

JULY 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview of the project: The goal of this project is to forecast. The post Face Key-point Recognition Using CNN appeared first on Analytics Vidhya.

Forecasting 284

Forecasting Data Science Publishing Analytics 284

Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Let’s start with the themes.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 207

Big Data Technology Machine Learning Deep Learning 207

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Check out our list of top big data and data analytics certifications.) Not finding what you’re looking for?

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Sisense

APRIL 15, 2021

Analytics is the future. But just as you’re getting a handle on your analytics program, you start hearing about “augmented analytics,” and now you’re worried you need to adopt that too to stay competitive in an evolving world. The good news is that augmented analytics will make your life a lot easier!

Analytics 98

Analytics Data Science Modeling Machine Learning 98

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. Before selecting a tool, you should first know your end goal – machine learning or deep learning.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

CIO Business Intelligence

JANUARY 25, 2024

That doesn’t mean getting certifications in deep learning or mastering natural language processing. We need people with a natural affinity for statistics, data patterns, and forecasting,” she says. “If If you start with that deep understanding, then you can use AI to do much more at a larger scale.”

Deep Learning 105

Deep Learning Cost-Benefit Statistics Manufacturing 105

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Artificial Intelligence Analytics. Uncertain economic conditions.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Jet Global

AUGUST 24, 2020

Information technology and services provider, iVEDiX, has been selected by insightsoftware to provide subject matter expertise and ongoing customer support to all North American customers on their Longview Analytics platform. About iVEDiX. For more information, please visit the company’s website at ivedix.com.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

DataRobot

APRIL 6, 2020

Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting , information about our expanded support for deep learning , or maybe just some ideas on how you can automate some of the data science tasks you dread.

Deep Learning 69

Deep Learning Forecasting Data Science Interactive 69

DataRobot

MARCH 8, 2021

We’re excited to announce AI Experience Worldwide: The Hunt for Transformational Growth , our upcoming free virtual conference where we will explore how AI can jump-start an organization’s potential and streamline data forecasts. You will learn how to produce more predictable forecasts and generate actionable insights.

Deep Learning 52

Deep Learning Forecasting Data-driven Visualization 52

BizAcuity

APRIL 6, 2022

But without deep research on the customer base and the industry, such an endeavor would be quite risky. Crypto casinos need a solid operation strategy, an analytics platform and a fail-safe mechanism in place. Moreover, there should be a powerful data management and analytics pipeline for operational usage. Contact Us.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

CIO Business Intelligence

JUNE 7, 2022

In business, when a trend is forecast to grow by more than 3000% and generate cost savings of $7.3 Intel® Technologies Move Analytics Forward. Data analytics is the key to unlocking the most value you can extract from data across your organization. Just starting out with analytics? IT Leadership

Unstructured Data 92

Unstructured Data Deep Learning Insurance Interactive 92

Cloudera

FEBRUARY 25, 2021

Here’s a preview of what you can leverage with one click in CML: Deep Learning for Anomaly Detection. Apply modern, deep learning techniques for anomaly detection to identify network intrusions. Deep Learning for Image Analysis. Build a semantic search application with deep learning models.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

CIO Business Intelligence

JANUARY 31, 2023

Energy Information Administration forecasts 47% higher global energy demand by 2050. [1] 3] (Download our infographic to learn more about recent trends.) Intel® Technologies Move Analytics Forward Data analytics is the key to unlocking the most value you can extract from data across your organization.

Deep Learning 105

Deep Learning Cost-Benefit Data-driven Manufacturing 105

CIO Business Intelligence

JUNE 13, 2022

And the chatbot would be able to understand what you were asking, run analytics on your purchases, and give you a total. Juniper Research forecasts that in 2023 the global operational cost savings from chatbots in banking will reach $7.3 Intel® Technologies Move Analytics Forward. Just starting out with analytics?

Data Processing 93

Data Processing Deep Learning Insurance Cost-Benefit 93

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 56

Machine Learning Data Science Statistics Deep Learning 56

CIO Business Intelligence

JUNE 1, 2022

Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. Predictive analytics can foretell a breakdown before it happens. Intel® Technologies Move Analytics Forward. Just starting out with analytics? billion by 2030.

Manufacturing 108

Manufacturing Digital Transformation Predictive Analytics Strategy 108

Smart Data Collective

SEPTEMBER 23, 2020

One study forecasts that the market will be worth $23.8 Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

CIO Business Intelligence

APRIL 1, 2022

These organizations run massive AI-driven simulations to forecast market conditions and make money when the market moves in a particular direction. Graph analytics can be used to analyze thousands of data sources with up to billions of elements to make more rapid and more accurate decisions. Intel® Technologies Move Analytics Forward.

Data-driven 88

Data-driven Deep Learning Risk Optimization 88

IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

B2B 67

B2B Interactive Optimization Forecasting 67

Smarten

JUNE 14, 2023

While it has only recently received public attention, this deep learning model architecture was launched more than five years ago by The American Artificial Intelligence Organization (OpenAI), and recent innovations like ChatGPT are based on the latest version of GPT (GPT-4).

Optimization 52

Optimization IT Digital Transformation Consulting 52