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.

Deep Learning 285

Deep Learning Forecasting Data Science Publishing 285

Analytics Vidhya

NOVEMBER 1, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation. Deep learning algorithms can have huge functional uses when provided with quality data to sort through.

Deep Learning 305

Deep Learning Forecasting Sales Data Science 305

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation. Deep learning algorithms can have huge functional uses when provided with quality data to sort through.

Modeling 262

Modeling Deep Learning Forecasting Sales 262

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 105

Data Science Statistics Deep Learning Machine Learning 105

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. 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 383

Machine Learning Modeling Forecasting Data Science 383

Cloudera

JULY 27, 2021

Fitting Prophet models with complex seasonalities for electricity demand forecasting. These fleshed-out web applications are representative end products of data science work. Recently, we’ve been bringing these front-ends to the Cloudera Machine Learning, with applied machine learning prototypes (AMPs).

Data Science 115

Data Science Enterprise Experimentation Machine Learning 115

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 61

Machine Learning Data Science Statistics Deep Learning 61

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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

O'Reilly on Data

FEBRUARY 11, 2019

Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. AI and machine learning in the enterprise. Deep Learning. Foundational data technologies.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

CIO Business Intelligence

JANUARY 25, 2024

That doesn’t mean getting certifications in deep learning or mastering natural language processing. Understand data The people driving innovation in any organization have to be passionate about data and its possibilities. “We People need to take the enigma out of AI and make it human,” Subbaiah says.

Deep Learning 115

Deep Learning Cost-Benefit Statistics Manufacturing 115

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. Additionally, the AMPs catalog within CML is completely customizable, enabling your data science teams to build and securely share internal projects as AMPs. Structural Time Series.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Time series data means that data is in a series of particular time periods or intervals.”

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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

DataRobot

APRIL 14, 2020

ODSC has always been an exceptional place to highlight these solutions and share some of the thought leadership around AI and machine learning, which is why we are excited to be a part of ODSC Virtual Conference & Expo this week. Read on to learn more about the presentations.

Deep Learning 52

Deep Learning Machine Learning Forecasting Data Science 52

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries.

Deep Learning 61

Deep Learning Machine Learning Forecasting Uncertainty 61

Smart Data Collective

SEPTEMBER 16, 2020

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. Data Sourcing. Deep Learning, Machine Learning, and Automation.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

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. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. billion by 2030. A Competitive Differentiator.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Machine Learning 73

Machine Learning Optimization Unstructured Data Sales 73

Sisense

APRIL 15, 2021

Data science and artificial intelligence: Enhancing every step in the BI process. Below you’ll see the traditional BI process: You start with a problem you want to use data and intelligence to try to solve, and you work your way through the steps toward hopefully doing that. Simplify analytics with AI.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

O'Reilly on Data

JULY 28, 2020

There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources. Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process.

Marketing 362

Marketing Experimentation Metrics Testing 362

Analytics Vidhya

JUNE 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon “Time flies over us, but leave its shadow behind” a beautiful. The post Deep Dive into Time Series Data with Single Neuron appeared first on Analytics Vidhya.

Data Science 145

Data Science Publishing Analytics IT 145

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing.

Enterprise 128

Enterprise Modeling Testing Data-driven 128

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

Deep Learning 66

Deep Learning Forecasting Machine Learning Strategy 66

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”).

Analytics 166

Analytics Machine Learning Data Science Deep Learning 166

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Cloudera

OCTOBER 26, 2022

These AMPs help kickstart projects in machine learning by providing working examples of how to solve common data science use cases, enabling data scientists to move faster and focus more time on driving further innovation. . Deep Learning for Anomaly Detection : ?? What are AMPs and why do they help?

Machine Learning 75

Machine Learning Deep Learning Cost-Benefit Forecasting 75

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. Without uncurtailed and unlimited access to modeling tools, data science teams will be handcuffed in their work.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

A more general approach is to learn a Generalized Additive Model (GAM). GAMs are popular among data science and machine learning applications for their simplicity and interpretability. Monotonic Deep Lattice Networks Deep learning is a powerful tool when we have an abundance of data to learn from.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

DataRobot Blog

SEPTEMBER 13, 2022

Once an organization has identified its AI use cases , data scientists informally explore methodologies and solutions relevant to the business’s needs in the hunt for proofs of concept. These might include—but are not limited to—deep learning, image recognition and natural language processing. Operationalization.

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 81

Machine Learning Manufacturing Cost-Benefit Deep Learning 81

IBM Big Data Hub

DECEMBER 20, 2023

What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Here, we’ll discuss the five major types and their applications.

Machine Learning 83

Machine Learning Modeling Deep Learning Predictive Modeling 83