O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

Machine Learning 107

Machine Learning Data Architecture Uncertainty Data-driven 107

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 340

Data Science Data Lake Data mining Deep Learning 340

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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 machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Decision Management Solutions

JANUARY 16, 2020

The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. ” In his article, Eric warns, “Predictive models often fail to launch. In this month’s featured article, Eric Siegel, Ph.D.,

Machine Learning 87

Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? In this article, we explore model governance, a function of ML Operations (MLOps). classification problem.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

Smart Data Collective

SEPTEMBER 30, 2021

But what if machine learning could be used beyond niche or individual contexts? Below, we’ll be exploring a few of the ways that machine learning can be used for improving our cities and making them smarter overall. There is growing evidence big data and machine learning can help save the environment.

Machine Learning 120

Machine Learning Cost-Benefit Optimization Forecasting 120

Insight

MARCH 18, 2019

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

Cloudera

OCTOBER 14, 2020

Lufthansa Technik worked with Cloudera to build a predictive maintenance platform to service its fleet of 5000 aircraft throughout its global network of 800 MRO facilities. Lufthansa Technik extended a standard practice of placing sensors on aircraft engines and enabling predictive maintenance to automate fulfilment solutions.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. Data scientist is one of the hottest jobs in IT.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Decision Management Solutions

DECEMBER 8, 2020

Enterprises today are eager to apply machine learning to improve their operations. Machine learning can improve operations, but only when its predictive models are deployed, integrated, and—most importantly—acted upon. Take a decision-centric and business-focused approach to machine learning projects.

Machine Learning 52

Machine Learning Data mining Predictive Modeling Data-driven 52

CIO Business Intelligence

JULY 28, 2022

Another 62% said they plan to hire data engineers , and 37% are looking for machine learning engineers — data analytics team members who could support data scientists. And machine learning engineers are being hired to design and build automated predictive models. It’s very mystical to the layperson.

Data Science 143

Data Science IT Machine Learning Data-driven 143

Analytics Vidhya

MAY 26, 2023

Imagine diving into the details of data analysis, predictive modeling, and ML. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future. The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology.

Data Science 279

Data Science Predictive Modeling Modeling Technology 279

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Machine Learning and Predictive Modeling of Customer Churn. segmentation on steroids). Danger, Red, Yellow or Green).

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

SEPTEMBER 19, 2019

Machine learning has played a very important role in the development of technology that has a large impact on our everyday lives. However, machine learning is also influencing the direction of technology that is not as commonplace. Text to speech technology predates machine learning by over a century.

Machine Learning 82

Machine Learning Technology Deep Learning Predictive Modeling 82

CIO Business Intelligence

AUGUST 23, 2023

That need for complex mathematical modeling at scale makes the finance industry a perfect candidate for the promise of quantum computing, which makes (extremely) quick work of computations, including complex ones, delivering results in minutes or hours instead of weeks and months.

IT 84

IT Machine Learning Risk Optimization 84

Smarten

JANUARY 24, 2019

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smarten

MAY 13, 2024

Incorporate PMML Integration Within Augmented Analytics to Easily Manage Predictive Models! PMML is Predictive Model Markup Language. It is an interchange format that provides a method by which analytical applications and software can describe and exchange predictive models. So, what is PMML Integration?

Predictive Modeling 62

Predictive Modeling Data mining Modeling Predictive Analytics 62

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. No Guesswork!

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

Smarten

MARCH 7, 2024

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

CIO Business Intelligence

MAY 17, 2022

The new features include simplified self-service tools like Data Stories, smart suggestions through Einstein Discovery, and collaboration tools to work on shared data models. Tableau Cloud is available to customers today, with Data Stories and Model Builder set to be made available later in the year. Advanced governance.

IT 97

IT Predictive Modeling Machine Learning Dashboards 97

Analytics Vidhya

MARCH 5, 2023

And our goal is to create a predictive model, such as Logistic Regression, etc. so that when we give the characteristics of a candidate, the model can predict whether they will recruit. The dataset revolves around the placement season of a Business School in India.

Predictive Modeling 273

Predictive Modeling Strategy Modeling Analytics 273

Decision Management Solutions

MARCH 4, 2019

Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. Machine Learning is increasingly widely used to make predictions.

Machine Learning 68

Machine Learning Statistics Modeling Predictive Analytics 68

Cloudera

MAY 30, 2024

Whether it’s traditional SQL-based querying, advanced machine learning algorithms, or complex data processing workflows, an open data lakehouse provides a flexible and extensible platform for accommodating diverse analytics workloads.

Data Lake 63

Data Lake Analytics Data Warehouse Machine Learning 63

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. When business decisions are made based on bad models, the consequences can be severe. What is a model?

Risk 111

Risk Modeling IT Risk Management 111

Smarten

APRIL 19, 2024

This approach does demand skills, data curation, and significant funding, but it will serve the market for third-party, specialized models. In a recent survey of C-suite executives, 80% of said they believe AI will transform their organizations, and 64% said it is the most transformational technology in a generation.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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”). It is an essential asset.

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Dataiku

JULY 23, 2021

is a machine learning specialist and founding researcher at Machine Learning Mastery. According to Dr. Brownlee, “ feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data.”

Predictive Modeling 105

Predictive Modeling Machine Learning Modeling IT 105

Analytics Vidhya

MARCH 22, 2022

Introduction Feature analysis is an important step in building any predictive model. This article was published as a part of the Data Science Blogathon. It helps us in understanding the relationship between dependent and independent variables.

Predictive Modeling 247

Predictive Modeling Data Science Publishing Modeling 247

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

The Unofficial Google Data Science Blog

JANUARY 31, 2017

By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with traditional statistical training have had occasion to ponder the similarities and differences between the fields. Some branches of machine learning (e.g.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

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

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory. For example, the closer the contest, the more ballots that must be examined.

IT 96

IT Manufacturing IoT Cost-Benefit 96