Analytics Vidhya

JULY 6, 2023

Building an accurate machine learning and AI model requires a high-quality dataset. Introduction In this era of Generative Al, data generation is at its peak.

Machine Learning 275

Machine Learning Modeling Analytics IT 275

Analytics Vidhya

SEPTEMBER 14, 2022

Introduction In this article, we will be predicting the famous machine learning problem statement, i.e. Titanic Survival Prediction, using PySpark’s MLIB. This is one of the best datasets to get started with new concepts as we being machine learning enthusiasts, already are well […].

Machine Learning 268

Machine Learning Data Science Publishing Analytics 268

Analytics Vidhya

JANUARY 10, 2021

Introduction Before getting starts with “Ensemble Techniques” in Machine Learning (ML). The post Exploring Ensemble Learning in Machine Learning World! ArticleVideos This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya.

Machine Learning 290

Machine Learning Data Science Publishing Analytics 290

Analytics Vidhya

SEPTEMBER 9, 2021

Any data science project starts with exploring the data. When we perform an analysis on a sample through exploratory data analysis and inferential statistics we get information about the sample. The post Everything you need to know about Hypothesis Testing in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 313

Machine Learning Testing Statistics Data Science 313

Analytics Vidhya

MARCH 15, 2020

Here’s Everything you Need to Get Started with Polynomial Regression What’s the first machine learning algorithm you remember learning? The answer is typically linear. The post Introduction to Polynomial Regression (with Python Implementation) appeared first on Analytics Vidhya.

Machine Learning 343

Machine Learning Analytics Structured Data 343

KDnuggets

DECEMBER 1, 2023

Image by Author When you are getting started with machine learning, logistic regression is one of the first algorithms you’ll add to your toolbox. It's a Read more »

Predictive Modeling 149

Predictive Modeling Modeling Machine Learning IT 149

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’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

Rocket-Powered Data Science

FEBRUARY 15, 2023

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. Source: [link] Every business wants to get on board with ChatGPT, to implement it, operationalize it, and capitalize on it. I suggest that the simplest business strategy starts with answering three basic questions: What?

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Analytics Vidhya

JUNE 27, 2022

Introduction When summer begins, all of us get excited and start planning all the fun activities that we would like to do in these a few days. The post Free Machine Learning Summer Training with Analytics Vidhya appeared first on Analytics Vidhya.

Machine Learning 213

Machine Learning Analytics 213

Cloudera

MARCH 26, 2024

But for many enterprises, the biggest hurdle is getting started. Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader.

Cost-Benefit 81

Cost-Benefit Machine Learning Enterprise Modeling 81

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. The number of searches for Machine Learning itself held steady, though it arguably declined slightly when ChatGPT appeared.

Machine Learning 182

Machine Learning Modeling Software IT 182

Analytics Vidhya

JANUARY 27, 2022

Introduction In this article, I will explain linear Regression, one of the machine learning algorithms. After reading this, we will get some basic knowledge about linear Regression, its uses, its types, and so on. Let us start with the table of contents. This article was published as a part of the Data Science Blogathon.

Machine Learning 222

Machine Learning Data Science Publishing Analytics 222

Analytics Vidhya

SEPTEMBER 19, 2021

This article was published as a part of the Data Science Blogathon Introduction Most people, when starting to learn Data Science and Machine Learning, often get bored if they don’t get a chance to play with some interesting code in some real-life projects where they can work on different stages of the pipeline of the Data […].

Data Science 204

Data Science Machine Learning Publishing Analytics 204

O'Reilly on Data

MARCH 26, 2024

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. They are dream machines. Let me explain. Because, in some sense, hallucination is all LLMs do.

Modeling 275

Modeling Machine Learning Risk Advertising 275

CIO Business Intelligence

MARCH 27, 2024

While NIST standards are developed for use by agencies of the US government, they tend to get adopted by other governments and companies around the world. Even before the algorithms are officially approved this summer, CIOs should start taking steps. The impact will be felt globally.

Optimization 140

Optimization Consulting Machine Learning Testing 140

Analytics Vidhya

OCTOBER 7, 2020

Overview Machine learning algorithms take features of a dataset as input, determine. The post Getting Started with Feature Engineering appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Machine Learning 230

Machine Learning Data Science Publishing Analytics 230

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. Lessons Learned from Data Warehouse and Data Engineering Platforms.

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. And that’s what I’d like to get to here: the real trends that aren’t reflected (or at best, are indirectly reflected) by the horse races. O’Reilly Online Learning.

Machine Learning 363

Machine Learning Software Testing Technology 363

O'Reilly on Data

MARCH 24, 2020

On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0 On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0 Let’s get everybody to do X. Re-analyzing existing data is often very bad.”

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

O'Reilly on Data

JANUARY 11, 2022

Every year starts with a round of predictions for the new year, most of which end up being wrong. This trend started with the gigantic language model GPT-3. Prompt engineers answer questions like “What do you have to say to get a model like GPT-3 to produce the output you want?” But why fight against tradition?

Experimentation 297

Experimentation Modeling Strategy Machine Learning 297

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. I was literally just waiting for commercial availability [of LLMs] but [services] like Azure Machine Learning made it so you could easily apply it to your data.

Digital Transformation 103

Digital Transformation Machine Learning Data Lake Software 103

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 254

Machine Learning Modeling Metrics IT 254

Cloudera

MAY 3, 2024

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. This is a standard practice, but it has some key drawbacks that don’t always get discussed.

Data Processing 69

Data Processing Machine Learning Enterprise Risk 69

CIO Business Intelligence

JANUARY 19, 2024

If you’re looking to get into this lucrative field, or want to stand out from the competition, certification can be key. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Smart Data Collective

SEPTEMBER 13, 2023

Artificial intelligence is starting to have a huge impact on the way many companies around the world operate. Machine Learning is Crucial for Success in Digital Marketing If you have a Spotify or Netflix account, you have probably noticed a trend. If yes, then you will be amazed to learn that this is all machine learning.

Machine Learning 98

Machine Learning Marketing Strategy Optimization 98

CIO Business Intelligence

MAY 10, 2024

Sastry Durvasula, chief information and client services officer at TIAA, says the multilayered platform’s extensive use of machine learning as part of its customer service line partnership with Google AI makes JSOC a formidable tool for financial and retirement planning and guiding customers through complex financial journeys.

Machine Learning 116

Machine Learning Experimentation Digital Transformation Modeling 116

Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

Machine Learning 88

Machine Learning Data Science Data-driven Data Processing 88

CIO Business Intelligence

MAY 15, 2024

DataStax “Firing on all cylinders” starts conversations that don’t begin with lists of generic use cases but rather your unique employee, customer, and market context. Nip the seeds of future regret in the bud and put use case limbo behind you Learn more about DataStax Artificial Intelligence, Machine Learning

Digital Transformation 126

Digital Transformation Strategy Metrics Machine Learning 126

CIO Business Intelligence

MAY 9, 2024

And because generative AI (genAI) is interactive and dialogue-based, it can help you get into a state of flow. Using AI allows us not to just “get a few minutes back,” but to free up hours every week. Here’s what we’ve learned. If employers want to attract and retain top talent, they will need to give people a place to thrive.

Enterprise 115

Enterprise Experimentation Sales Optimization 115

Cloudera

OCTOBER 31, 2023

However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey. Our vision is to make it easier, more economical, and safer for our customers to maximize the value they get from AI.

Machine Learning 101

Machine Learning Cost-Benefit Modeling Interactive 101

CIO Business Intelligence

FEBRUARY 14, 2024

Introduce gen AI capabilities without thinking about data hygiene, he warns, and people will be disillusioned when they haven’t done the pre work to get it to perform optimally. When we started to see search actually working inside SharePoint, people would complain it wasn’t working properly,” he says.

IT 143

IT Metadata Data-driven Management 143

CIO Business Intelligence

APRIL 19, 2024

According to a Gartner survey conducted in late 2023, 42% of CIOs planned to deploy generative AI tools by the third quarter of this year, with 55% planning to roll out some other type of AI or machine learning in the same timeframe. There’s no way most companies are going to get anywhere near this. growth in 2023. drop in 2023.

IT 132

IT Software Cost-Benefit ROI 132

Cloudera

MAY 9, 2024

First, we need to help customers get AI models based on trusted data into production faster than ever. So whether you’re under pressure to answer critical business questions or just tired of wrestling with SQL syntax, the AI assistant has your back, enabling you to focus on what really matters – getting insights from your data.

Dashboards 71

Dashboards Machine Learning Data-driven Visualization 71

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 110

Modeling IT Machine Learning Data Governance 110

Cloudera

MAY 3, 2024

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. This is a standard practice, but it has some key drawbacks that don’t always get discussed.

Data Processing 52

Data Processing Machine Learning Enterprise Risk 52

CIO Business Intelligence

APRIL 24, 2024

That includes many technologies based on machine learning, such as sales forecasting, lead scoring and qualification, pricing optimization, and customer sentiment analysis. Increasing revenues, however, is a more challenging proposition, and the company is just starting to think about the potential opportunities here.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

CIO Business Intelligence

OCTOBER 11, 2022

Our ambition is finding a way to take these amazing capabilities we’ve built in different areas and connect them, using AI and machine learning, to drive huge scale across the ecosystem,” Kaur said. We would spend weeks getting the right environment in place.”. Moving from ideas to insights faster. AstraZeneca.

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145