Analytics Vidhya

MAY 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This series of articles will enlighten you about different forecasting methods. The post Forecasting in Pharmaceutical Industry (Patient-Level) – Part 1 appeared first on Analytics Vidhya.

Forecasting 185

Forecasting Data Science Publishing Analytics 185

Analytics Vidhya

JUNE 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In my previous article, we learned about patient-level forecasting for. The post Forecasting in Pharmaceutical Industry – Part 2 (drugs with a limited supply of raw material) appeared first on Analytics Vidhya.

Forecasting 211

Forecasting Data Science Publishing Analytics 211

Analytics Vidhya

JULY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Time series forecasting is the branch of data science which. The post An Introduction To Simple Linear Regression appeared first on Analytics Vidhya.

Forecasting 291

Forecasting Data Science Publishing Analytics 291

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Machine Learning is the Key to Saving the Ailing Airline Industry.

Machine Learning 65

Machine Learning Cost-Benefit Strategy Marketing 65

CIO Business Intelligence

NOVEMBER 17, 2023

Over a period of six months, we created an entirely new demand forecasting model, leveraging the capabilities in the cloud,” he says by way of example. The cloud also helps IHG “drive commercial value for our enterprise,” Turner says, noting that IT pros can innovate in the cloud in months what used to take years.

Forecasting 128

Forecasting Consulting Data-driven Digital Transformation 128

Jedox

JULY 17, 2018

Many of us already profit from machine learning or artificial intelligence – often without even thinking about it. Artificial intelligence and machine learning excel at processing and analyzing large amounts of data from multiple sources in a very short time.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

FineReport

JUNE 7, 2024

With a focus on scalability and collaboration, Dataiku’s key features encompass machine learning algorithms, automated workflows, and customizable reporting tools. Embrace FanRuan’s transformative technologies to elevate your data visualization experience to unprecedented heights!

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Analytics Vidhya

AUGUST 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.

Data Science 371

Data Science Publishing Analytics Forecasting 371

Smart Data Collective

AUGUST 31, 2020

One company that uses big data to forecast stock prices has found that its algorithms outperform similar forecasts by 26%. They build complex machine learning models that rely on numerous pieces of information. I first read his book in 1998. Big data is changing the tide with stock futures trading.

Big Data 91

Big Data Forecasting Machine Learning Marketing 91

Analytics Vidhya

MAY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Index Introduction Understanding Bitcoin Technologies used Getting real-time cryptocurrency data (bitcoin). The post Bitcoin Price Prediction Using Recurrent Neural Networks and LSTM appeared first on Analytics Vidhya.

Data Science 354

Data Science Publishing Technology Analytics 354

Analytics Vidhya

AUGUST 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A univariate time series is a series that contains only. The post Developing Vector AutoRegressive Model in Python! appeared first on Analytics Vidhya.

Modeling 286

Modeling Data Science Publishing Analytics 286

Analytics Vidhya

JULY 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Often wondered if we could know what would the price. The post Introduction to Time series Modeling With -ARIMA appeared first on Analytics Vidhya.

Modeling 293

Modeling Data Science Publishing Analytics 293

Analytics Vidhya

JULY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article aims to help those who are facing the. The post How to Analyse Air Pollution using Python? appeared first on Analytics Vidhya.

Data Science 287

Data Science Publishing Analytics Forecasting 287

CIO Business Intelligence

NOVEMBER 14, 2022

Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. Types of decision support system In the book Decision Support Systems: Concepts and Resources for Managers , Daniel J.

Data mining 131

Data mining Data-driven Statistics OLAP 131

Analytics Vidhya

FEBRUARY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In the time series prediction, it is common to. The post Using Multiple features in Time Series Prediction with CNN/GRU appeared first on Analytics Vidhya.

Data Science 240

Data Science Publishing Analytics IT 240

Analytics Vidhya

APRIL 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Hello readers! In our routine life, we come. The post How to check Stationarity of Data in Python appeared first on Analytics Vidhya.

Data Science 223

Data Science Publishing Analytics Forecasting 223

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Cutting straight right to the chase, Hurst exponent is a. The post Using Hurst Exponent to analyse the Stock and Crypto market with Python appeared first on Analytics Vidhya.

Marketing 192

Marketing Data Science Publishing Analytics 192

datapine

MARCH 31, 2022

To help you with your studies, you can start here with a list of the best SQL books that will help you take your skills to the next level. This could involve anything from learning SQL to buying some textbooks on data warehouses. They can help a company forecast demand, or anticipate fraud. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Analytics Vidhya

APRIL 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction: Hello Readers! Ever wonder what are the factors which. The post Impact of Global Stock Market on Indian stock Index in R appeared first on Analytics Vidhya.

Marketing 168

Marketing Data Science Publishing Analytics 168

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Time series data consists of a set of observations in which. The post Working with Stock Market Time Series Data using Facebook Prophet appeared first on Analytics Vidhya.

Marketing 150

Marketing Data Science Publishing Analytics 150

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 144

Data Science Publishing Analytics IT 144

DataRobot Blog

AUGUST 10, 2022

Accurately forecasting non-elective demand is a necessity for ICSs and acute trusts, but this task is complicated by the pandemic and the data disruption that ensued. Learn more about the Snowflake and DataRobot partnership. Book an appointment to talk to the team and see a live demonstration of both platforms. Action to Take.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

bridgei2i

MAY 26, 2020

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

DataRobot

APRIL 13, 2021

Before you launch the campaign, use DataRobot to train a machine learning churn model , using historical data on those customers who have churned in the past. For more information about this new approach to reducing customer attrition, book a demonstration with DataRobot and BluePrism. The AI-Powered Supply Chain. Download now.

Forecasting 52

Forecasting Metrics Machine Learning Sales 52

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. 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. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

Data Science 101

OCTOBER 31, 2019

A definition from the book ‘Data Mining: Practical Machine Learning Tools and Techniques’, written by, Ian Witten and Eibe Frank describes Data mining as follows: “ Data mining is the extraction of implicit, previously unknown, and potentially useful information from data. Anomaly Detection.

Data mining 77

Data mining KDD Data Science Forecasting 77

AWS Big Data

MARCH 21, 2024

You also need longer-term access to this data for machine learning (ML) models to run predictive maintenance assessments, find optimization opportunities, and forecast demand. Michael also loves learning about behavioral science and psychology from books and podcasts.

Data Lake 96

Data Lake Management Modeling Optimization 96

DataRobot

MARCH 29, 2021

Despite the uncertainty and challenges of the past year, DataRobot is seeing the positive impact that AI and machine learning are having on our world as enterprises accelerate their AI adoption. This year’s conference theme is “The Hunt for Transformational Growth.”

Uncertainty 52

Uncertainty Data Processing Forecasting Machine Learning 52

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Cost control and budgeting : EAM systems provide valuable insights into asset performance as it relates to maintenance costs.

Cost-Benefit 55

Cost-Benefit IoT Internet of Things Enterprise 55

IBM Big Data Hub

APRIL 25, 2024

The methodology gained prominence with the publication of a 1990 article in the Harvard Business Review, “Reengineering Work: Don’t Automate, Obliterate,” by Michael Hammer, and the 1993 book by Hammer and James Champy, Reengineering the Corporation.

Cost-Benefit 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

Smart Data Collective

NOVEMBER 12, 2021

Companies have found that data analytics and machine learning can help them in numerous ways. Instead, your area of expertise could be selling books, providing insurance, or creating jewelry. One of the other benefits of data analytics is that it can help forecast future business activity.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

bridgei2i

AUGUST 4, 2020

You know, we’re getting a lot of calls from our research clients going back through and saying, you know, what are the lessons we’ve learned from the past that we can be applying today? And it was funny cause I was going through a book that my business partner Barry Trailer and I wrote back in 2002. That’s an issue.

Sales 93

Sales Enterprise B2B Digital Transformation 93

datapine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smart Data Collective

FEBRUARY 25, 2021

Savvy small businesses recognize that AI technology can assist them with almost every aspect of their operations, including employee management, trend forecasting, fraud prevention and financial management. Artificial intelligence is quickly becoming a central focus of countless businesses.

Software 62

Software Machine Learning Marketing Technology 62

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. versions).

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

FineReport

APRIL 26, 2023

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

JULY 25, 2023

Artificial intelligence (AI) and machine learning (ML) technology can analyze large quantities of data to gain insights into energy consumption patterns, peak demand periods and grid performance. It empowers us to become more aware of our energy usage and make smarter choices, allowing us to build a more sustainable energy future.

Optimization 56

Optimization Technology Measurement Cost-Benefit 56