Analytics Vidhya

JUNE 20, 2022

link] Introduction How many rows of sample data are required (or what should be the size of the training dataset required) to build a machine learning model that can predict fraudulent transactions in a credit card fraud detection dataset containing around 284407 rows? […].

Machine Learning 356

Machine Learning Data Science Publishing Modeling 356

Analytics Vidhya

MAY 27, 2023

Introduction The UNet is the first model that comes to mind these days whenever we want to use image segmentation in machine learning. Learning Objectives 1. How to use UNet in segmentation tasks? To build the UNet model from scratch. To build the UNet model from scratch.

Machine Learning 268

Machine Learning Modeling Analytics IT 268

O'Reilly on Data

JANUARY 25, 2024

Chip Huyen, co-founder of Claypot AI and author of Designing Machine Learning Systems , will talk about why many companies have trouble coming up with appropriate use cases for AI, how to evaluate possible use cases, and the skills your company will need to put these use cases into practice. Consistence, risk, and compliance.

Machine Learning 206

Machine Learning Enterprise Reporting Risk 206

Analytics Vidhya

MAY 18, 2020

Overview PyCaret is a super useful and low-code Python library for performing multiple machine learning tasks in double-quick time Learn how to rely on. Use PyCaret to Build your Machine Learning Model in Seconds appeared first on Analytics Vidhya. The post Running Low on Time?

Machine Learning 400

Machine Learning Modeling Analytics Visualization 400

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. Data engineers specialize in building and maintaining these data pipelines that underpin the analytics ecosystem.

Machine Learning 259

Machine Learning Data Science Modeling Analytics 259

Analytics Vidhya

MARCH 9, 2020

Learn how to build a decision tree model using Weka This tutorial is perfect for newcomers to machine learning and decision trees, and those. The post Build a Decision Tree in Minutes using Weka (No Coding Required!) appeared first on Analytics Vidhya.

Machine Learning 391

Machine Learning Modeling Analytics Structured Data 391

O'Reilly on Data

AUGUST 8, 2023

I’m sure that nobody will be surprised that the number of searches for ChatGPT on the O’Reilly learning platform skyrocketed after its release in November, 2022. It might be a surprise how quickly it got to the top of our charts: it peaked in May as the 6th most common search query. So there are plenty of reasons for ChatGPT to surge.

Machine Learning 182

Machine Learning Modeling Software IT 182

O'Reilly on Data

JUNE 9, 2020

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. It’s getting machine learning from the researcher’s laptop to production.

Machine Learning 256

Machine Learning Modeling Metrics IT 256

CIO Business Intelligence

APRIL 26, 2024

Once completed within two years, the platform, OneTru, will give TransUnion and its customers access to TransUnion’s behemoth trove of consumer data to fuel next-generation analytical services, machine learning models and generative AI applications, says Achanta, who is driving the effort, and held similar posts at Neustar and Walmart.

Modeling 114

Modeling IT Machine Learning Data Governance 114

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives.

Management 332

Management Machine Learning Experimentation Metrics 332

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction Building a cool machine learning project is one thing, and another when you need other people to see it too. Sure, you can put the entire project on GitHub, but how will your grandparents figure out what you’ve done?

Modeling 308

Modeling Machine Learning Data Science Publishing 308

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. He first tried to do so by becoming Cervantes, learning Spanish, and forgetting all the history since Cervantes wrote Don Quixote , among other things, but then decided it would make more sense to (re)write the text as Menard himself.

Modeling 277

Modeling Machine Learning Risk Advertising 277

Analytics Vidhya

NOVEMBER 26, 2021

Overview According to the internet, OpenNLP is a machine learning-based toolbox for processing natural language text. The post A Brief Guide on how to build a Named Entity Extraction (NER) Model with Apache OpenNLP Library appeared first on Analytics Vidhya. Introduction to […].

Modeling 289

Modeling Machine Learning Data Science Publishing 289

Analytics Vidhya

AUGUST 25, 2019

Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models?

Machine Learning 301

Machine Learning Modeling Analytics 301

O'Reilly on Data

DECEMBER 10, 2019

Roughly a year ago, we wrote “ What machine learning means for software development.” Karpathy suggests something radically different: with machine learning, we can stop thinking of programming as writing a step of instructions in a programming language like C or Java or Python. Instead, we can program by example.

Software 261

Software Machine Learning Risk Data-driven 261

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

CIO Business Intelligence

JANUARY 19, 2024

Data science certifications give you an opportunity to not only develop skills that are hard to find in your desired industry, but also validate your data science know-how so recruiters and hiring managers know what they get if they hire you. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

KDnuggets

NOVEMBER 29, 2023

This week on KDnuggets: Start learning how to build machine learning models today with these free machine learning courses • See how ChatGPT creates jaw-dropping data viz with just a few words • And much, much more!

Machine Learning 105

Machine Learning Modeling 105

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. To succeed in the mortgage industry, efficiency and accuracy are paramount.

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

CIO Business Intelligence

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. It’s the culmination of a decade of work on deep learning AI. Model sizes: ~5 billion to >1 trillion parameters. Model sizes: ~Millions to billions of parameters. ChatGPT has turned everything we know about AI on its head.

Deep Learning 111

Deep Learning Unstructured Data Machine Learning Modeling 111

IBM Big Data Hub

APRIL 9, 2024

“The data lake at the Masters draws on eight years of data that reflects how the course has changed over time, while using only the shot data captured with our current ball-tracking technology,” says Aaron Baughman, IBM Fellow and AI and Hybrid Cloud Lead at IBM.

Management 87

Management IT Machine Learning Metrics 87

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Cloudera

MARCH 26, 2024

How do you adapt a foundational model to your specific needs? How do you adapt a foundational model to your specific needs? How much is all this really going to cost? The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024.

Cost-Benefit 78

Cost-Benefit Machine Learning Enterprise Modeling 78

CIO Business Intelligence

SEPTEMBER 29, 2023

Understanding how to leverage ChatGPT in the workplace has quickly become an increasingly valuable skill that companies are interested in capitalizing on to achieve business goals. And 64% of C-suite respondents said they plan to hire more professionals across every job title because of generative AI technology.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

IBM Big Data Hub

APRIL 18, 2024

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

CIO Business Intelligence

AUGUST 11, 2023

Search engines, machine translation services, and voice assistants are all powered by the technology. How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning.

Unstructured Data 142

Unstructured Data Modeling Machine Learning Data mining 142

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Learn more about this here. Chatbots, voice assistants, and language translation services can operate locally using NLP models. over the 2023-2027 forecast period 1. over 2023 2.

Forecasting 98

Forecasting Optimization Advertising IoT 98

CIO Business Intelligence

JANUARY 18, 2024

The question IT and business leaders must ask is, How do we leverage this sea change rather than drown in it? Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report. As you learn, you adjust.

Finance 126

Finance Machine Learning Risk Management Optimization 126

CIO Business Intelligence

FEBRUARY 28, 2024

Over 75% are thriving and believe their tuition paid is a worthwhile investment, proving a clear link between student satisfaction in higher learning and technology. A McKinsey report found that students and faculty are eager to continue using new learning technologies, but institutions could do more to support the shift.

Technology 116

Technology Machine Learning Digital Transformation Data-driven 116

CIO Business Intelligence

FEBRUARY 9, 2024

Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury. Changing the game The first step in building Digital Athlete was using computer vision and ML to teach the AI to glean information from game and practice footage.

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

CIO Business Intelligence

JUNE 14, 2023

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. Data and big data analytics are the lifeblood of any successful business.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. ML and AI are still relatively new practice areas, and leaders should expect ongoing learning and an improving maturity curve.

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

CIO Business Intelligence

APRIL 12, 2024

Shoppers can find overalls, live chickens, gun safes, ice fishing augers, ferret food, throw blankets, a farmhouse-shaped egg holder , and welding machines as they walk the aisles of most Tractor Supply stores. Tractor Supply Co. It makes the team member much more efficient.” We’re always hiring and growing and looking at new team members.

Experimentation 114

Experimentation Sales Digital Transformation Metrics 114

AWS Big Data

MARCH 21, 2024

In this post, we explain how you can use some of these services, including MSK Serverless , to build a serverless data platform to meet your real-time needs. 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.

Data Lake 96

Data Lake Management Modeling Optimization 96