AWS Machine Learning - AI

MARCH 28, 2024

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. The resulting LLM outperforms LLMs trained on non-domain-specific datasets when tested on finance-specific tasks.

Artificial Inteligence 94

Artificial Inteligence Training Generative AI Machine Learning 94

TechCrunch

MAY 30, 2022

Strong Compute , a Sydney, Australia-based startup that helps developers remove the bottlenecks in their machine learning training pipelines, today announced that it has raised a $7.8 ” Strong Compute wants to speed up your ML model training. . ” Strong Compute wants to speed up your ML model training.

Training 278

Training Artificial Inteligence Machine Learning Company 278

O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. ML security audits.

Machine Learning 191

Machine Learning Artificial Inteligence Technical Review Analysis 191

O'Reilly Media - Data

MAY 16, 2018

Answers to the three most commonly asked questions about maintaining GDPR-compliant machine learning programs. But there’s perhaps no more important—or uncertain—question than how the regulation will impact machine learning (ML), in particular. Does the GDPR prohibit machine learning?

Machine Learning 200

Machine Learning Artificial Inteligence Training Technical Review 200

Apiumhub

DECEMBER 8, 2022

In this article, we will look at the Linear Regression model for Machine Learning , which is one of the most basic models available. With this definition, we now must see the way to train a model following this equation. We have seen the basics of linear regression and its applications to machine learning.

Machine Learning 81

Machine Learning Artificial Inteligence Training Retail 81

O'Reilly Media - Ideas

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 113

Machine Learning Artificial Inteligence Training Metrics 113

Exadel

APRIL 13, 2021

Python is irreplaceable for Machine Learning, but running Python in production can be a problem if other parts of the system are written using C#. ML.NET is a Machine Learning library for C# that helps deliver Machine Learning features in a.NET environment more quickly. That is where ML.NET can help.

Machine Learning 119

Machine Learning Artificial Inteligence Microservices Training 119

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. This article. Until now, machine learning engineers or data scientists have been deploying models in production by themselves,” — Alexander Konduforov, data science competence leader at AltexSoft, comments. MLOps vs DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Dzone - DevOps

MARCH 29, 2023

Machine learning has become an integral part of many industries, from healthcare to finance and beyond. However, even the most accurate and well-trained machine learning models are useless if they're not deployed in a production environment. That's where machine learning model deployment comes in.

Machine Learning 52

Machine Learning Artificial Inteligence Healthcare Training 52

Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

Openxcell

MARCH 21, 2023

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Training 52

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. In this article, we explore model governance, a function of ML Operations (MLOps). Machine Learning Model Lineage. Machine Learning Model Visibility . classification problem.

Machine Learning 81

Machine Learning Artificial Inteligence Weak Development Team Construction 81

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

O'Reilly Media - Data

APRIL 3, 2018

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

Machine Learning 130

Machine Learning Artificial Inteligence Software Engineering Engineering 130

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

InfoWorld

MAY 13, 2024

Back in the ancient days of machine learning , before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on all of your data to find the best (or least bad) fit. To read this article in full, please click here

Artificial Inteligence 98

Artificial Inteligence Generative AI Machine Learning Development 98

Hacker Earth Developers Blog

DECEMBER 26, 2018

According to the Global Banking Outlook 2018 study conducted by Ernst & Young, 60-80% of the banks are planning to increase investment in data and analytics and 40-60% plan to increase investment in machine learning. Analytics and machine learning on their own are mere buzzwords. Impact areas.

Machine Learning 202

Machine Learning Artificial Inteligence Banking Analytics 202

O'Reilly Media - Data

JUNE 5, 2018

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

Artificial Inteligence 160

Artificial Inteligence Machine Learning Software Review Weak Development Team 160

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Dzone - DevOps

AUGUST 9, 2023

Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up.

Machine Learning 65

Machine Learning Artificial Inteligence Scalability Software Review 65

CIO

AUGUST 11, 2023

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology. It consists of 11.5

Artificial Inteligence 355

Artificial Inteligence Technical Review Artificial Intelligence Systems Review 355

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

Cloudera

APRIL 19, 2021

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Now we can run the rest of the script and watch our model train.

Machine Learning 71

Machine Learning Artificial Inteligence Fashion Software Review 71

Altexsoft

NOVEMBER 17, 2021

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. In this article, we’ll explore the essence of document classification, and study the main approaches to categorizing files based on their content. Read our separate article on that.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Systems Review Technical Review 75

CIO

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. The data used to train ML models may exist in memory caches, the operational data store, or in the analytic databases.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

O'Reilly Media - Ideas

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

Machine Learning 93

Machine Learning Artificial Inteligence Software Review Conference 93

CIO

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Digital Transformation, Generative AI, IT Leadership, IT Strategy, IT Training

Artificial Inteligence 357

Artificial Inteligence Generative AI Technical Review Software Review 357

Altexsoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Read our article on HIPAA violations to avoid common mistakes and associated penalties. This provides many opportunities to train computer vision algorithms for healthcare needs.

Machine Learning 52

Machine Learning Artificial Inteligence Healthcare Software Review 52

Exadel

DECEMBER 18, 2020

Many real-life Machine Learning (ML) use cases imply multi-tenant architecture and require training a model for every user. The same goes for tax calculations, where it is illegal to combine the data obtained from different clients to train a single ML model; instead, we have to make predictions on a case-by-case basis.

Machine Learning 52

Machine Learning Artificial Inteligence Storage Training 52

Altexsoft

FEBRUARY 5, 2020

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. You can choose from two approaches to enabling the next best action: rule-based or machine learning-based recommendations. Rule-based recommendations.

Machine Learning 110

Machine Learning Artificial Inteligence Marketing How To 110

CIO

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. It’s also used to deploy machine learning models, data streaming platforms, and databases. That’s not to say it’ll be easy.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

TechCrunch

MARCH 7, 2023

Machine learning is the “future of social” Image Credits: Usis / Getty Images Deciding on their next act took time. The founder, who describes himself as a “very frameworks-driven person,” knew he wanted to do something that involved machine learning, having seen its power at Instagram.

Machine Learning 229

Machine Learning Artificial Inteligence Social Windows 229

TechCrunch

JANUARY 25, 2023

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Obviously, text-heavy applications (attempting to generate an article or engage in chat) would lead to even higher costs. per request.

Artificial Inteligence 221

Artificial Inteligence Machine Learning ChatGPT Open Source 221

CIO

SEPTEMBER 20, 2023

In this article, we will explore the top five priorities for CIOs and CISOs and how Zero Trust can help them align by addressing the challenges they face, including ransomware threats. Employee Awareness: Effective employee training and awareness is critical in ensuring that staff are not unwittingly exposing the organization to cyber risks.

Artificial Inteligence 278

Artificial Inteligence Artificial Intelligence Compliance Machine Learning 278

TechCrunch

FEBRUARY 24, 2022

Maxime Agostini is the co-founder and CEO of Sarus , a privacy company supported by Y Combinator that lets organizations leverage confidential data for analytics and machine learning. This API may perform aggregations on the whole dataset, from simple SQL queries to complex machine learning training tasks.

Data 220

Data Artificial Inteligence Machine Learning Recruiting 220

Altexsoft

AUGUST 10, 2021

You will learn more about how it works and why you should use it in this article. When combined with machine learning and data mining , it can make forecasts based on historical and existing data to identify the likelihood of conversion. Custom development is not for everyone, especially when it concerns machine learning.

Machine Learning 72

Machine Learning Artificial Inteligence Analytics Weak Development Team 72