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 86

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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Datasets Machine Learning Deep Learning Finance 98

phData: Data Engineering

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Efficiency through being able to streamline data storage and retrieval processes.

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Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. Here we shall discuss all the essentials around data labelling.

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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. Such a system would include features like: Developing an application to manage patient records.

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Computer Science Coding Project Hospitality 111

Data Engineering Weekly

MAY 12, 2024

link] Gradient Flow: Learning from the Past - Comparing the Hype Cycles of Big Data and GenAI The blogs compare the hype cycle of Big Data with Gen AI. The blog narrates the initial hype of Big Data, followed by talent shortages and lead time to build production applications. It is one of the tools I wish Uber could open source.

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Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

APRIL 25, 2024

In this blog post, we will discuss such technologies. If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. Spark is a fast and general-purpose cluster computing system.

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Big Data Technology NoSQL Hadoop 98

Edureka

MAY 6, 2024

MLOps is an emerging discipline that aims to unify and streamline the machine learning system development (Dev) and operations (Ops) lifecycle. Whether you are a newbie or an experienced individual, if you want to explore more about the concepts of MLOPS, then you just click on the right blog. Why do we need MLOPS?

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Machine Learning Metadata Programming Language Healthcare 52

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Data Scientist A data scientist is a professional who uses scientific methods, algorithms, and systems to extract insights from data. What is Data Science?

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Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

MARCH 26, 2024

On the other hand, AI, compared to human intelligence, is a product of human-designed algorithms, computational power, and data processing capabilities. In this blog post, I will give you a detailed comparative analysis of AI vs HI. What is AI? AI lets machines analyze information, learn from data, and even make decisions.

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Algorithm Deep Learning Education Datasets 52

RandomTrees

MARCH 12, 2024

In this blog post, we’ll explore how Generative AI is revolutionizing the way we approach driver assistance, safety, and overall well-being on the road. Personalized Assistance: Generative AI algorithms analyze individual driving habits, preferences, and health data to provide personalized assistance.

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Knowledge Hut

MARCH 19, 2024

Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms. In this blog, I will describe the role of a Machine Learning Software Engineer, their responsibilities, required skills, and the path to becoming one.

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Software Engineer Software Engineering Machine Learning 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. Nix is needed to simplify the installation and patching of system dependencies (not all our patches have been merged upstream yet).

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Process Coding Python Deep Learning 89

RandomTrees

APRIL 29, 2024

GenAI includes the convergence of machine learning, deep learning, computer vision, natural language processing, and robotics, among other disciplines. Advanced AI algorithms combined with big data analytics have revolutionized the way researchers model complex scenarios and optimize vehicle performance.

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Transportation Manufacturing Algorithm Machine Learning 52

Edureka

APRIL 19, 2024

In this blog post, we’ll delve into the fascinating world of Midjourney, exploring its capabilities, examining its impact on the artistic community, and providing insights into how this groundbreaking tool is reshaping the way we perceive and create visual art. History of Midjourney Working of Midjourney How Do You Access Midjourney?

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Algorithm Deep Learning Machine Learning Accessible 52

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. These systems and methods can be applied to massive amounts of data.

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Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

MARCH 15, 2024

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. These systems are responsible for ingraining complex algorithms into digitized devices and increasing their processing power. They must be able to gauge a system’s performance based on statistical analysis.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

LinkedIn Engineering

FEBRUARY 23, 2023

Offering such high availability to deliver the desired member and customer experience necessitates being able to, in real-time, identify and remediate different types of overloads that can plague a system. 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

Scott Logic

APRIL 22, 2024

You can select which algorithm(s) to use to train the model; but then all you need to do is wait. Natural language processing in Amazon QuickSight At the workshop, we were able to play with a new feature being added to Amazon QuickSight, which Amazon are calling “Generative BI”. Generative BI? Responsible use is key.

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BI Software Engineer Software Engineering Algorithm 97

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.’

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Edureka

MAY 6, 2024

This AI in Finance blog, we will be covering the following topics: What is AI in Finance? AI in finance means using advanced technologies like machine learning , natural language processing, and data analytics to improve how banks and financial companies handle different tasks. How is AI used in finance?

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Finance Banking Algorithm Machine Learning 52

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 Electronics Algorithm Software Engineer 100

Knowledge Hut

APRIL 23, 2024

Software career path offers diverse options, from developing mobile applications and games to creating sophisticated software systems that power businesses and industries. This blog will explore some of the most exciting software career options and what you need to do to get started.

Software Engineer 98

Software Engineer Software Engineering Engineering Programming Language 98

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.

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Machine Learning Algorithm Data Science Government 93

Databand.ai

AUGUST 30, 2023

It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

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Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

MARCH 27, 2024

Over the last few decades, machine learning has fundamentally altered how systems function and decisions are made. An algorithm design cheat sheet is a useful tool for engineers and machine learning specialists to prepare for managing algorithm design chores. Scikit offers a large selection of machine-learning algorithms.

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Machine Learning Deep Learning Algorithm Certification 52

Edureka

DECEMBER 12, 2023

This technology also streamlines administrative processes, freeing educators to focus on teaching. Welcome to our blog about artificial intelligence (AI) in education and how it is changing the game! We hope to take you on a journey through this blog as we explore the relationship between artificial intelligence and education.

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Education Algorithm Accessible Accessibility 52

Knowledge Hut

MARCH 29, 2024

In this blog, you will get everything that you think “I wish I had known this” before appearing in an Amazon software engineer interview process. They work in companies or may even work independently to design software products, develop mobile and web applications, and administer network control systems.

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Software Engineer Software Engineering Engineering Recruitment 52

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 88

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. . Systems used in operations and production can be monitored on a continuous basis to improve performance and prevent downtime.

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Data Collection Algorithm Machine Learning Education 107

Towards Data Science

DECEMBER 1, 2023

Embeddings are used in many applications like search engines, recommendation systems, and chatbots. Many vector databases are now measuring their performance using this approach in their tech blogs. In this blog post, I deep dive into (4) above and show you a new insight I discovered using a streaming workload benchmark.

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Database Algorithm Datasets Kafka 52

Cloudera

DECEMBER 19, 2023

Some of the primary operational problems highlighted at the PCN Government Innovation event include: Civil Government : A major challenge facing the civil government is the inefficient and cumbersome procurement process. Have plans to address issues like harmful content generation, data abuse, and algorithmic bias. Trust your data.

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Government Education Unstructured Data Datasets 86

Knowledge Hut

OCTOBER 27, 2023

In this blog, we will cover the top 5 data science projects in python you could do to elevate your skills and knowledge in this competitive Data Science market. To prevent such occurrence, it’s necessary to build a robust health monitoring system which would generate alerts in real time. Top Data Science Projects in Python 1.

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Data Science Python Project Manufacturing 52

Cloudera

OCTOBER 18, 2023

In fact, some of the insights presented in this blog have been assisted by the power of large language models (LLMs), highlighting the synergy between human expertise and AI-driven insights. AI can enable them to quickly adapt their compliance processes and reduce the risk of non-compliance.

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Knowledge Hut

JANUARY 3, 2024

This blog aims to introduce you to the concept of serializability and explain how it affects database design. Finally, we will conclude with a few examples of the importance of serializability in database systems. In computer science, serializability is a property of a system describing how different processes operate on shared data.

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MongoDB Algorithm Database Certification 52

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection.

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Building Pipeline-centric Machine Learning Datasets 85

Edureka

APRIL 24, 2024

This data can be retrieved from anything – books, blogs, pictures or images. Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data. 3D Modelling Generative AI has greatly simplified the process of 3D modelling.

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