KDnuggets

AUGUST 22, 2022

Machine Learning Algorithms Explained in Less Than 1 Minute Each • Free Python Automation Course • Free Python Crash Course • The 5 Hardest Things to Do in SQL • 16 Essential DVC Commands for Data Science • 12 Essential VSCode Extensions for Data Science • Parallel Processing Large • File in Python • Linear Algebra for Data Science.

Machine Learning 112

Machine Learning Algorithm Data Science Python 112

Cloudera

NOVEMBER 17, 2021

We are very excited to announce the release of five, yes FIVE new AMPs, now available in Cloudera Machine Learning (CML). In addition to the UI interface, Cloudera Machine Learning exposes a REST API that can be used to programmatically perform operations related to Projects, Jobs, Models, and Applications.

Machine Learning 124

Machine Learning Algorithm Data Science Retail 124

Knowledge Hut

JULY 28, 2023

Machine learning for anomaly detection is crucial in identifying unusual patterns or outliers within data. By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Why do You Need Machine Learning for Anomaly Detection?

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Snowflake

JANUARY 23, 2024

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. Behind the scenes, Snowpark ML parallelizes data processing operations by taking advantage of Snowflake’s scalable computing platform.

Machine Learning 137

Machine Learning Metadata Python Telecommunication 137

Engineering at Meta

JULY 10, 2024

Meta’s advertising business leverages large-scale machine learning (ML) recommendation models that power millions of ads recommendations per second across Meta’s family of apps. Why is machine learning robustness difficult? Long chain of complex interactions.

Machine Learning 114

Machine Learning Algorithm Systems Engineering 114

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.

Machine Learning 97

Machine Learning Algorithm Data Science Government 97

AltexSoft

MAY 12, 2022

Our brains are constantly processing sounds to give us important information about our environment. 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. What is audio analysis?

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Knowledge Hut

JULY 4, 2023

Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. To build a strong foundation and to stay updated on the concepts of Pattern recognition you can enroll in the Machine Learning course that would keep you ahead of the crowd.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

MAY 2, 2024

Automation and machine learning have changed our lives. From self – driving Cars, robots, image recognition, diagnostic assessments, recommendation engines, Photo Tagging, fraud detection and more, the future for machine learning and AI is bright and full of untapped possibilities. Why do I need to Learn Math?

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

AltexSoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. For example, Netflix takes advantage of ML algorithms to personalize and recommend movies for clients, saving the tech giant billions. The role of a machine learning engineer in the data science team.

Machine Learning 105

Machine Learning Engineering Algorithm Data Science 105

Knowledge Hut

APRIL 26, 2024

Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Quality data is therefore important to ensure the efficacy of a machine learning model.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Netflix Tech

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. That’s up to the machine learning model to discover and avoid such false-positive incidents. Are you interested in solving challenging problems at the intersection of machine learning and security ?

Machine Learning 129

Machine Learning Digital Media Datasets Media 129

Knowledge Hut

JANUARY 16, 2024

Embarking on a journey in the highly demanded field of Machine Learning (ML) opens doors to diverse career opportunities. The avenues to acquire the essential skills for a career in ML are plentiful, ranging from Machine Learning online courses and certifications to formal degree programs. What Is Machine Learning?

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Monte Carlo

NOVEMBER 12, 2024

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. Before building your own data architecture from scratch though, why not steal – er, learn from – what industry leaders have already figured out?

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Keep reading to learn: What problems NLP can help solve. Available methods for text processing and which one to choose. What is Natural Language Processing? Here are some big text processing types and how they can be applied in real life.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

MAY 2, 2024

Doesn’t this piece of information gives you a glimpse of the wondrous possibilities of machine learning and its potential uses? As you move across this post, you would get a comprehensive idea of various aspects that you ought to know about machine learning. What is Machine Learning and Why It Matters?

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

KDnuggets

JULY 18, 2022

Also: Linear Algebra for Data Science; 10 Modern Data Engineering Tools; Parallel Processing Large File in Python; How Does Logistic Regression Work?

Machine Learning 116

Machine Learning Algorithm Data Science Python 116

Knowledge Hut

JANUARY 29, 2024

” In this article, we are going to discuss time complexity of algorithms and how they are significant to us. Nobody would want to use a system which takes a lot of time to process large input size. The Time complexity of an algorithm is the actual time needed to execute the particular codes.

Algorithm 98

Algorithm Programming Language Python Java 98

Knowledge Hut

JANUARY 12, 2024

It is used as a pre-processing step in Machine Learning and applications of pattern classification. In my journey as a machine learning enthusiast, I find LDA to be a powerful supervised classification technique, playing a very integral role in crafting competitive machine learning models.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

DoorDash Engineering

NOVEMBER 28, 2023

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. Therefore, it’s critical for the data and engineering teams to have comprehensive support throughout the ML process.

Machine Learning 90

Machine Learning Pipeline-centric Data Science Designing 90

Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

Metadata 85

Metadata Bytes Entertainment Data Mining 85

KDnuggets

FEBRUARY 21, 2022

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

Data Science 154

Data Science Deep Learning Algorithm Machine Learning 154

KDnuggets

OCTOBER 15, 2024

Word embeddings is a numerical representation of text, allowing a computer to process words efficiently by converting words into numerical vectors that can be processed with machine learning algorithm.

Algorithm 132

Algorithm Machine Learning Process 132

RandomTrees

DECEMBER 17, 2024

Generative AI (GenAI), an area of artificial intelligence, is enhancing the automation of quality control processes, thereby increasing the safety and efficiency of the industry. Regulatory Updates: AI algorithms perform and analyze the news and changes related to regulations free of charge, making compliance simple for businesses.

Food 52

Food Manufacturing Machine Learning Algorithm 52

Precisely

DECEMBER 12, 2024

These systems store massive amounts of historical datadata that has been accumulated, processed, and secured over decades of operation. Understanding Bias in AI Bias in AI arises when the data used to train machine learning models reflects historical inequalities, stereotypes, or inaccuracies.

Healthcare 63

Healthcare Algorithm Finance Data Integration 63

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Unlike neatly organized rows and columns in spreadsheets, unstructured data—such as text, images, videos, and audio—requires advanced processing techniques to derive meaningful insights.

Data Engineering 62

Data Engineering Data Engineer Unstructured Data Engineering 62

LinkedIn Engineering

JUNE 15, 2023

Co-authors: Jonathan Hung , Pei-Lun Liao , Lijuan Zhang , Abin Shahab , Keqiu Hu TensorFlow is one of the most popular frameworks we use to train machine learning (ML) models at LinkedIn. To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data.

Datasets 102

Datasets Bytes Process Data Ingestion 102

KDnuggets

SEPTEMBER 18, 2024

Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning.

Medical 128

Medical Deep Learning Healthcare Algorithm 128

KDnuggets

AUGUST 22, 2022

Hyperparameter tuning is important for algorithms. It improves their overall performance of a machine learning model and is set before the learning process and happens outside of the model.

Machine Learning 126

Machine Learning Algorithm Process IT 126

Netflix Tech

MARCH 14, 2023

By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. We implemented a batch processing system for users to submit their requests and wait for the system to generate the output.

Media 120

Media Building Algorithm Machine Learning 120

Cloudera

NOVEMBER 19, 2020

The Association of Certified Fraud Examiners reports the use of artificial intelligence and machine learning in anti-fraud programs is expected to almost triple in the next two years. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors.

Government 119

Government Machine Learning Algorithm Raw Data 119

RandomTrees

MARCH 10, 2025

Let’s explore predictive analytics, the ground-breaking technology that enables companies to anticipate patterns, optimize processes, and reach well-informed conclusions. Revenue Growth: Marketing teams use predictive algorithms to find high-value leads, optimize campaigns, and boost ROI. Want to know more?

Retail 52

Retail Data Governance Hospitality Banking 52

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques. What is OpenCV Python?

Python 98

Python Process Deep Learning Algorithm 98

Edureka

APRIL 22, 2025

Exponential Growth in AI-Driven Data Solutions This approach, known as data building, involves integrating AI-based processes into the services. As early as 2025, the integration of these processes will become increasingly significant. Top 10 Technologies To Learn In 2025 Data Engineering Opportunities 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

RandomTrees

NOVEMBER 25, 2024

Understanding Generative AI Generative AI describes an integrated group of algorithms that are capable of generating content such as: text, images or even programming code, by providing such orders directly. This article will focus on explaining the contributions of generative AI in the future of telecommunications services.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

KDnuggets

JULY 25, 2022

Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained.

Python 112

Python Algorithm Machine Learning Data Science 112

ThoughtSpot

APRIL 7, 2025

Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. ThoughtSpot is the only platform that can solve this problem with its robust tools and information processing technology, all without saving any customer data.

Metadata 52

Metadata Algorithm BI Machine Learning 52