TechCrunch

MAY 2, 2022

Businesses need machine learning here. ” Like several of its competitors, including Salt, Traceable uses AI to analyze data to learn normal app behavior and detect activity that deviates from the norm. “However, sophisticated API-directed cyberthreats and vulnerabilities to sensitive data have also rapidly increased.

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Artificial Inteligence Machine Learning Technical Cofounder Cloud 234

Dataiku

SEPTEMBER 19, 2023

We often talk about machine learning in the context of predictive analysis and AI. Machine learning is, more or less, a way for computers to learn things without being specifically programmed. But how does that actually happen?

Machine Learning 98

Machine Learning Artificial Inteligence Analysis Programming 98

O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. There are at least four major ways for data scientists to find bugs in ML models: sensitivity analysis, residual analysis, benchmark models, and ML security audits. Sensitivity analysis. Residual analysis.

Machine Learning 190

Machine Learning Artificial Inteligence Technical Review Analysis 190

DevOps.com

FEBRUARY 6, 2024

OpenText updated a static analysis code auditing tool using machine learning algorithms to provide deeper insights into on-premises IT environments.

Machine Learning 54

Machine Learning Artificial Inteligence Tools Analysis 54

The Crazy Programmer

APRIL 16, 2019

There are so many things to learn before to choose which language is good for Machine Learning. Don’t worry guys through this article we will discuss R vs Python for Machine Learning. R vs Python for Machine Learning. Deep Learning. Let’s start. Introduction.

Artificial Inteligence 153

Artificial Inteligence Machine Learning Artificial Intelligence Analysis 153

Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

Apiumhub

JULY 8, 2021

Machine Learning Algorithms. Machine Learning (ML) algorithms improve automatically through experience and by the use of data, in order to make predictions or decisions without being explicitly programmed to do so. Data Analysis Methods. Helping to build a Data-Driven Culture.

Machine Learning 52

Machine Learning Artificial Inteligence Analysis Innovation 52

Daffodil Software

NOVEMBER 9, 2021

Log analysis is an integral part of any software development lifecycle's ultimate success. Developers and engineers use logs to assess what is happening at every layer of a software system and track down the root cause of issues.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Analysis Software Development 98

Toptal

MARCH 30, 2018

Machine learning, combined with some standard image processing techniques, can result in powerful video analysis tools.

Machine Learning 104

Machine Learning Artificial Inteligence Video Analysis 104

Perficient

FEBRUARY 27, 2023

Machine learning is now being used all around the world and its helping analytics team greatly in saving costs and improving business decisions. A Machine learning project starts with Raw data and Ends with a web application that can predict outcomes and generate insights from raw data.

Machine Learning 64

Machine Learning Artificial Inteligence Training Metrics 64

The Crazy Programmer

SEPTEMBER 22, 2022

Sentiment analysis is considered one of the most popular strategies businesses use to identify clients’ sentiments about their products or service. But what is sentiment analysis? telecom, retail, finance) are the ones who heavily use sentiment analysis. How does Sentiment Analysis Work? Tokenize The Data .

Analysis 173

Analysis Artificial Inteligence Software Review Artificial Intelligence 173

Netflix Tech

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. Although model-based anomaly detection approaches are more scalable and suitable for real-time analysis, they highly rely on the availability of (often labeled) context-specific data.

Machine Learning 124

Machine Learning Artificial Inteligence Metrics Training 124

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

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Artificial Inteligence Machine Learning Artificial Intelligence Training 93

CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Machine Learning 312

Machine Learning Artificial Inteligence Open Source Generative AI 312

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

The Parallax

JUNE 5, 2019

The mirror, built by the CareOS subsidiary of the French tech company Baracoda , offers personalized recommendations guided by Google’s TensorFlow Lite machine-learning algorithm platform. READ MORE ON MACHINE LEARNING. How Facebook fights fake news with machine learning and human insights.

Artificial Inteligence 169

Artificial Inteligence Machine Learning Training Banking 169

InfoWorld

APRIL 11, 2024

The Apache Software Foundation develops and maintains open source software projects that significantly impact various domains of computing, from web servers and databases to big data and machine learning.

Analysis 76

Analysis Data IoT Machine Learning 76

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

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

Mentormate

DECEMBER 12, 2023

In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data. How does this help us in practice?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Technical Review Development 52

CIO

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. It’s a fundamentals exam, so you don’t need extensive experience to pass.

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Artificial Inteligence Data Machine Learning Azure 317

Lacework

APRIL 19, 2022

Machine Learning (ML) is absolutely everywhere. The big three cloud service providers—AWS, Azure, and Google Cloud—have a ton of different machine learning services, with more on the way. Success stories around machine learning hint at unique and novel solutions to really challenging problems.

Machine Learning 74

Machine Learning Artificial Inteligence Azure AWS 74

Palo Alto Networks

JUNE 1, 2023

ChatGPT, a language-based machine learning model, is not exempt from this discussion. The post Cracking the Code — How Machine Learning Supercharges Threat Detection appeared first on Palo Alto Networks Blog. While ChatGPT presents promising opportunities in cybersecurity, it also raises ethical considerations.

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Artificial Inteligence Machine Learning Exercises ChatGPT 83

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

InfoBest

MAY 29, 2023

In an era reminiscent of science fiction, two groundbreaking technologies have emerged, poised to reshape our world: the Internet of Things (IoT) and Machine Learning. Enhancing Data Collection and Analysis One of the primary advantages of IoT is its ability to generate vast amounts of real-time data from various sources.

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Artificial Inteligence Machine Learning IoT Energy 52

TechCrunch

JUNE 17, 2021

Graph-based data models have become central to modern machine learning and artificial intelligence applications, and are now widely used by data analysts in applications as diverse as marketing to fraud detection. In the past, most business analysis was built on relational databases. With a graph model, that analysis is a cinch.

Analysis 252

Analysis Enterprise Artificial Inteligence Data 252

CTOvision

SEPTEMBER 30, 2020

Read Serdar Yegulalp list open-source tools to take advantage of machine learning and predictive analysis on Info World: Spam filtering, face recognition, recommendation engines — when you have a large […].

Open Source 97

Open Source Machine Learning Artificial Inteligence Tools 97

CIO

SEPTEMBER 29, 2023

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

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. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

CTOvision

OCTOBER 15, 2019

Read Horace He’s analysis of AI research papers which shows TensorFlow is the platform of choice in the industry, but most researchers are now using PyTorch on The Gradient : Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and industry practitioners.

Machine Learning 94

Machine Learning Artificial Inteligence Research Analysis 94

CIO

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.

Generative AI 251

Generative AI Artificial Inteligence Azure Machine Learning 251

KitelyTech

JUNE 9, 2022

Today’s businesses are using machine learning algorithms to improve internal and customer-facing operations, leading to better experiences for customers. Machine Learning (ML) lets companies harness the power of artificial intelligence and modern technologies to improve in ways that were not possible before.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Applications Artificial Intelligence 52

O'Reilly Media - Data

APRIL 12, 2018

Many of the articles I read relied on data and analysis supplied by Chaslot. We talked about his work trying to decipher how YouTube’s recommendation system works, filter bubbles, transparency in machine learning, and data privacy. Continue reading The importance of transparency and user control in machine learning.

Machine Learning 111

Machine Learning Artificial Inteligence Analysis Government 111

CIO

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. Today, 60% to 70% of Rocket’s workloads run on the cloud, with more than 95% of those workloads in AWS.

Generative AI 319

Generative AI Artificial Inteligence AWS Machine Learning 319

CIO

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.

Analytics 337

Analytics Data Analysis Business Analytics 337

O'Reilly Media - Data

AUGUST 2, 2018

The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning. In a previous post , I highlighted early tools for privacy-preserving analytics, both for improving decision-making (business intelligence and analytics) and for enabling automation (machine learning).

Machine Learning 104

Machine Learning Artificial Inteligence Open Source Business Intelligence 104