Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays! Use case recap.

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Process Kafka Scala SQL 92

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Process Data Pipeline Datasets SQL 87

DareData

JUNE 11, 2024

With its capabilities of efficiently training deep learning models (with GPU-ready features), it has become a machine learning engineer and data scientist’s best friend when it comes to train complex neural network algorithms. In this blog post, we are finally going to bring out the big guns and train our first computer vision algorithm.

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Algorithm Datasets Deep Learning Architecture 52

Netflix Tech

JUNE 1, 2023

We used this simulation to help us surface problems of scale and validate our Ads algorithms. Replay traffic enabled us to test our new systems and algorithms at scale before launch, while also making the traffic as realistic as possible. The Mantis query language allowed us to set the percentage of replay traffic to process.

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Algorithm Metadata Kafka Systems 139

Knowledge Hut

MARCH 22, 2024

The C programming language plays a crucial role in Data Structure and Algorithm (DSA). Since C is a low-level language, it allows for direct memory manipulation, which makes it perfect for implementing complex data structures and algorithms efficiently. This blog will provide you with a strong foundation in DSA using C.

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Algorithm Programming Language Software Engineer Software Engineering 52

Tweag

JUNE 7, 2023

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor.

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Process Coding Python Deep Learning 103

Cloudera

NOVEMBER 17, 2021

TPOT is a library for performing sophisticated search over whole ML pipelines, selecting preprocessing steps and algorithm hyperparameters to optimize for your use case. The post New Applied ML Prototypes Now Available in Cloudera Machine Learning appeared first on Cloudera Blog. Train Gensim’s Word2Vec.

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Machine Learning Algorithm Data Science Retail 125

Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. ML can stop a transaction if the algorithm detects anomalous behavior indicative of fraud. Facebook and Twitter, for instance, have started using ML algorithms to detect and stop these types of activity.

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Medical Retail Datasets Algorithm 121

KDnuggets

APRIL 18, 2022

This blog walks through a process for experimenting with hyperparameters, training algorithms and other parameters of Graph Neural Networks.

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Algorithm Process 102

Netflix Tech

MARCH 14, 2023

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. Processing took several hours to complete. Some ML algorithms are computationally intensive.

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Media Building Algorithm Machine Learning 119

Christophe Blefari

MARCH 22, 2024

Usually all the process takes me a whole Friday. The process works well, but as you can see, because I use fresh news, it's just-in-time. ❤️ I rarely say it, if Data News helps you save time you should consider taking a paid subscription (60€/year) to help me covers the blog fees and my writing Fridays.

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Electronics Media Data Python 130

Christophe Blefari

APRIL 19, 2024

Structured generative AI — Oren explains how you can constraint generative algorithms to produce structured outputs (like JSON or SQL—seen as an AST). This is super interesting because it details important steps of the generative process. — A great blog to answer a great question.

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MySQL Data Datasets SQL 130

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. This blog post hopes to provide this foundational understanding. What is Machine Learning. Figure 03: The Data Science Lifecycle.

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Machine Learning Algorithm Data Science Government 98

Edureka

FEBRUARY 8, 2023

In this blog we will get to know about the perks of ChatGPT for coding. This blog will help you learn how this effective tool can help you write code with ease, and we will also cover topics like: What is ChatGPT? Streamlining the implementation process for ChatGPT Fig.7 ” Fig.6 ChatGPT is designed to be simple to use.

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Coding Deep Learning Programming Java 130

Cloudera

NOVEMBER 19, 2020

Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors. Some of these algorithms can be adaptive to quickly update the model to take into account new, previously unseen fraud tactics allowing for dynamic rule adjustment. The modeling process begins with data collection.

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Government Machine Learning Algorithm Raw Data 120

Scott Logic

OCTOBER 24, 2024

Our most interesting mission, in my opinion, was to design and build an algorithm that assigned talks to attendees according to their choices. This algorithm would save organisers the time, human error and brain power required to ensure all attendees are fairly allocated. And how can we do this over the course of multiple slots?

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Algorithm Building Designing IT 52

Cloudera

APRIL 13, 2022

If you’re AI-first, that means you have figured out how to leverage artificial intelligence to boost organizational agility so you can continuously adapt operational processes to deliver the right business outcomes. . The post Becoming an AI-first Organization appeared first on Cloudera Blog. Product development.

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Data Collection Algorithm Machine Learning Education 113

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Till then, pick a topic from this blog and get started on your next great computer science project. designing an algorithm to improve the efficiency of hospital processes. Source Code: Weather Forecast App 3.

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Computer Science Coding Project Hospitality 111

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting.

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Knowledge Hut

MARCH 29, 2024

One of the most important steps in joining one of the world’s most inventive tech businesses is the Apple software engineer interview process. You need to consider all the above points to qualify for the Apple software engineer interview process. To succeed in this interview, you must be unique.

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Software Engineer Software Engineering Process Engineering 52

Tweag

MARCH 6, 2024

Three years ago, a blog post introduced destination-passing style (DPS) programming in Haskell, focusing on array processing, for which the API was made safe thanks to Linear Haskell. The present blog post is mostly based on my recent paper Destination-passing style programming: a Haskell implementation , published at JFLA 2024.

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Programming Data Programming Language Coding 126

Christophe Blefari

MARCH 4, 2023

I'll try to think about it in the following weeks to understand where I go for the third year of the newsletter and the blog. The article has been written as something you can add in your own internal dbt onboarding process for every newcomer. So thank you for that. Stay tuned and let's jump to the content.

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Machine Learning AWS Data Data Lake 130

LinkedIn Engineering

FEBRUARY 23, 2023

In our previous blog post, Hodor: Detecting and addressing overload in LinkedIn microservices , we introduced the Holistic Overload Detection and Overload Remediation (HODOR) framework. Be an out-of-the-box solution that works for all LinkedIn services without service owners or SREs needing to tune the algorithm.

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Algorithm Java Designing Systems 101

Snowflake

AUGUST 7, 2024

As we describe in this blog post , the top-k feature uses runtime information — namely, the current contents of the top-k elements — to skip micro-partitions where we can guarantee that they won’t contribute to the overall result. Snowflake starts processing those partitions first. on average, with some queries also reaching up to 99.8%

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Metadata Algorithm Process Utilities 80

Cloudera

JANUARY 7, 2021

These emerging categories may not contain enough examples for a traditional machine learning algorithm to learn from, making high-quality classification difficult or prohibitive. . Unfortunately, this process doesn’t take into account the fact that many words don’t contain a great deal of meaningful information (e.g., “the,”

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Knowledge Hut

MARCH 13, 2024

If you aspire to be a software engineer, you must follow a specific strategy and understand the Google software engineer interview process to land your dream job. While Google’s hiring process is similar to other companies, it requires careful consideration. I consider it to be the most competitive step in the process.

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Software Engineer Software Engineering Process Engineering 52

Knowledge Hut

APRIL 26, 2024

Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model. B ut it is a great resource for u sers /learners to get better conne cted with the data and draw insights from it by applying different types of algorithms on it.

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Machine Learning Datasets Deep Learning Finance 98

Picnic Engineering

OCTOBER 14, 2024

This so-called Master Planning Process (MPP) represents the planning of the Picnic supply chain path for every ordered article from the Fulfilment Centre to the customer’s door. Combinatorial optimisation is the process of trying to find the optimal solution given a set of finite possibilities. What is combinatorial optimisation?

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Algorithm Datasets Java Coding 75

Netflix Tech

NOVEMBER 29, 2023

As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. We A/B tested HDR-DO encodes in production in Q3-Q4 2021, followed by improving the ladder generation algorithm further in early 2022. The arrival of HDR-VMAF allowed us to create HDR streams with DO applied, i.e., HDR-DO encodes.

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Metadata Algorithm Electronics Software Engineer 104

Cloudera

MAY 18, 2022

That means developing scenarios in which AI can boost efficiency, productivity, and process optimization through AI-enabled data analytics and automation. . For each use case, draw up an exhaustive list of the processes and tasks you want to automate, as well as the pain points that AI can address. Address data management .

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Manufacturing High Quality Data Retail Algorithm 96

Cloudera

MAY 5, 2021

According to wikipedia , Gang Scheduling refers to a scheduling algorithm for parallel systems that schedules related threads or processes to run simultaneously on different processors. You can also find more information from our previous blog series. What is Gang Scheduling?

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Metadata Algorithm Big Data Machine Learning 136

U-Next

MARCH 18, 2023

In this blog, we will explore the importance of sleep, the benefits of tracking it with wearable technology, and how this technology can be used to improve our sleep quality. During sleep, our bodies are repairing and regenerating cells, and our brains are consolidating memories and processing information.

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Algorithm Deep Learning Media Technology 98

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. It is also important to know the underlying math to understand the various ML algorithms.

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Data Science Healthcare Machine Learning Algorithm 97

Cloudera

NOVEMBER 25, 2021

Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. In part 2 of this blog post, we explore the challenges in ensuring ethical AI systems and some ways that these can be overcome. in 2021 to USD $327 billion. Find out more.

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Government Insurance Algorithm Machine Learning 99

Engineering at Meta

MARCH 20, 2024

There are no universal definitions for low, mid, and high networks, but for the purpose of this blog post, less than 300 Kbps will be considered as low, 300-800 Kbps as mid, and above 800 Kbps as a high, HD-capable, or high-end network. Codec licensing (and concurrent fees) was an important aspect in our decision-making process.

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Algorithm Manufacturing Media Coding 101

Cloudera

NOVEMBER 3, 2021

One of the best ways to make a substantial improvement in processing time is to, if you haven’t already, switched from CPUs to GPUs. While deep learning is an excellent use of the processing power of a graphics card, it is not the only use. Today, deep learning and GPUs are practically synonymous. In fact only 43.2%

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Deep Learning Data Science Machine Learning Python 118

Knowledge Hut

FEBRUARY 29, 2024

Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. This process of inferring the information from sample data is known as ‘inferential statistics.’

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Data Science Datasets Machine Learning Database Design 98