Analytics Vidhya

DECEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Introduction Time series data is the collection of data at specific time intervals like on an hourly basis, weekly basis. Stock market data, e-commerce sales data is perfect example of time-series data.

Modeling 341

Modeling Sales Data Science Publishing 341

Analytics Vidhya

OCTOBER 9, 2020

This article was published as a part of the Data Science Blogathon. Introduction: Probabilistic Graphical Models (PGM) capture the complex relationships between random variables. The post Complete R Tutorial To Build Probabilistic Graphical Models! appeared first on Analytics Vidhya.

Modeling 313

Modeling Data Science Publishing Analytics 313

Analytics Vidhya

JANUARY 11, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. The post AlgoTrading using Technical Indicator and ML models appeared first on Analytics Vidhya. Introduction Many times we wonder if predictive analytics has the.

Modeling 284

Modeling Predictive Analytics Data Science Publishing 284

Analytics Vidhya

APRIL 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Jupyter Notebook is a web-based interactive computing platform that many data scientists use for data wrangling, data visualization, and prototyping of their Machine Learning models.

Machine Learning 342

Machine Learning Visualization Interactive Data Science 342

Analytics Vidhya

JANUARY 5, 2022

This article was published as a part of the Data Science Blogathon. The post Multiple Time Series Model Using Apache Spark and Facebook Prophet appeared first on Analytics Vidhya. The post Multiple Time Series Model Using Apache Spark and Facebook Prophet appeared first on Analytics Vidhya.

Modeling 265

Modeling Sales Data Science Publishing 265

Analytics Vidhya

JUNE 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction Power BI is one of the most popular data visualization and analytics software product developed by Microsoft. Source: [link] […].

Visualization 256

Visualization Dashboards Data Science Publishing 256

Analytics Vidhya

MAY 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon INTRODUCTION: Stroke is a medical condition that can lead to the. The post How to create a Stroke Prediction Model? appeared first on Analytics Vidhya.

Predictive Modeling 226

Predictive Modeling Modeling Data Science Publishing 226

Analytics Vidhya

NOVEMBER 6, 2021

This article was published as a part of the Data Science Blogathon. Introduction In the field of Data Science, the most important thing is to prepare the data or clean the data for further model building, data exploration, or data visualization, etc.

Data Science 316

Data Science Visualization Publishing Modeling 316

Smarten

NOVEMBER 23, 2023

Smarten is pleased to announce that its Smarten Augmented Analytics solution is included as a Representative Vendor in the Market Guide for Augmented Analytics Published October 2, 2023 (ID G00780764). The Smarten solution requires no data science skills, knowledge of statistical analysis or BI expertise.

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

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 264

Deep Learning Machine Learning Visualization Data Science 264

Analytics Vidhya

OCTOBER 11, 2020

This article was published as a part of the Data Science Blogathon. The post The Clever Ingredient that decides the rise and the fall of your Machine Learning Model- Exploratory Data Analysis appeared first on Analytics Vidhya. Introduction Well! We all love cakes. If you take a deeper look.

Machine Learning 298

Machine Learning Modeling Data Science Publishing 298

Analytics Vidhya

APRIL 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Making Machine Learning models these days is turning out. The post Create Interface For Your Machine Learning Models Using Gradio Python Library appeared first on Analytics Vidhya.

Machine Learning 193

Machine Learning Modeling Data Science Publishing 193

Analytics Vidhya

AUGUST 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the modern day, where there is a colossal amount of data at our disposal, using ML models to make decisions has become crucial in sectors like healthcare, finance, marketing, etc.

Finance 256

Finance Data Science Publishing Modeling 256

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. Data scientists use algorithms for creating data models.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Analytics Vidhya

AUGUST 1, 2022

This article was published as a part of the Data Science Blogathon. What is equally important here is the ability to communicate the data and insights from your predictive models through reports and dashboards. PowerBI is used for Business intelligence.

Reporting 334

Reporting Predictive Modeling Dashboards Business Intelligence 334

Analytics Vidhya

JULY 17, 2022

This article was published as a part of the Data Science Blogathon. Why does a Machine Learning Model need to be interpretable? In this article, I will walk you through one technique that makes any machine learning model interpretable. The […].

Machine Learning 269

Machine Learning Data Science Publishing Modeling 269

FineReport

JULY 28, 2021

Good data can give you keen insights, convincing evidence to make informed decisions. By observing and analyzing data, we can develop more accurate theories and formulate more effective solutions. For this reason, data science and/vs. Definition: BI vs Data Science vs Data Analytics.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Analytics Vidhya

JUNE 2, 2022

This article was published as a part of the Data Science Blogathon. In this article, we will see how to set up Neural Networks, Artificial Neural Networks, and Deep Neural Networks, and also how to design the model, how to train […].

Deep Learning 314

Deep Learning Data Science Publishing Modeling 314

Analytics Vidhya

AUGUST 5, 2022

This article was published as a part of the Data Science Blogathon. BigQueryML is a toolset that will allow us to build machine learning models by executing […]. Introduction Most of us are familiar with SQL, and many of us have hands-on experience with it.

Machine Learning 299

Machine Learning Data Science Publishing Modeling 299

Analytics Vidhya

SEPTEMBER 21, 2021

This article was published as a part of the Data Science Blogathon Introduction You must be aware of the fact that Feature Engineering is the heart of any Machine Learning model. How successful a model is or how accurately it predicts that depends on the application of various feature engineering techniques.

Machine Learning 286

Machine Learning Data Science Publishing Modeling 286

Ontotext

APRIL 15, 2020

The FHIRCat group at the Mayo Clinic has published the CORD-19-on-FHIR dataset for COVID-19 research. The FHIR RDF version of CORD-19 plans to use the PICO ontology for modeling the annotations and to store them back in GraphDB. GraphDB’s Visual Graph can be used to explore the data as demonstrated below. The Mayo Clinic.

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Publishing Metadata Data mining Technology 105

Smart Data Collective

NOVEMBER 18, 2020

You should learn what a big data career looks like , which involves knowing the differences between different data processes. Online courses and universities are offering a growing number of programs of study that center around the data science specialty. What is Data Science? Where to Use Data Science?

Data mining 143

Data mining Data Science Informatics Statistics 143

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

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How the models are stored.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

Analytics Vidhya

JUNE 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Customer Churn Prediction After taking some courses on Data Science, I feel a necessity for applying those skills to some projects.

Machine Learning 204

Machine Learning Data Science Publishing Modeling 204

Analytics Vidhya

DECEMBER 6, 2020

This article was published as a part of the Data Science Blogathon. Don`t jump into modeling. First, understand and explore your data!” Overview This. The post The Key Concepts To Investigating Your Dataset appeared first on Analytics Vidhya.

Data Science 291

Data Science Publishing Modeling Analytics 291

Analytics Vidhya

JUNE 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction The following is an in-depth article explaining DAX which stands for Data Analysis Expression. It is designed to […].

Interactive 220

Interactive Data Science Publishing Modeling 220

Analytics Vidhya

OCTOBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction to Dynamic Time Wraping The Time series classification is a very common task where you will have data from various domains like Signal processing, IoT, human activity, and more and the ultimate aim is to train a specific model so that it can […].

IoT 248

IoT Data Science Publishing Modeling 248

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

NOVEMBER 20, 2023

Solutions such as BOBJ, Cognos, and OBIE adapted to the requirements of the larger enterprise, introducing rich semantic models, governance capabilities and targeting a far larger audience inside the enterprise by providing capabilities for analysis, pre-built reporting, and automated refreshing, etc.

Business Intelligence 52

Business Intelligence IT Operational Reporting Reporting 52

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. This means that ML development teams can tackle their own ML business use cases more quickly, from those involving churn modeling, to sentiment analysis, to anomaly detection and beyond.

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. The AIgent was built with BERT, Google’s state-of-the-art language model.

Modeling 59

Modeling Metadata Publishing Sales 59

Smart Data Collective

SEPTEMBER 22, 2021

Data engineers and data scientists are focused on developing new applications to meet their goals. There are a lot of great software applications that can be used for a variety of data science objectives. Unfortunately, developing software that was capable of handling big data challenges has been rather complex.

Big Data 111

Big Data Software Data Science Data-driven 111

Smart Data Collective

JANUARY 27, 2021

Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings. They tended to avoid using technical analysis models, because those models don’t tend to hold up well with traditional securities, such as stocks and bonds.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

DataRobot

APRIL 19, 2021

When the machine learning algorithm is trained, data scientists take the outputs (predictions), apply business rules to turn predictions into decisions, and send these predictions and decisions into the organization’s computer systems. They need data assembly, data science, integration, and visualization skills.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

Andrew White

OCTOBER 22, 2021

Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13. Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10.

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IT Data Lake Strategy Data Science 52