LinkedIn Engineering

JUNE 15, 2023

Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads. For more details, please check out the ATDSDataset code on GitHub here.

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Datasets Bytes Process Data Ingestion 102

LinkedIn Engineering

MARCH 21, 2023

In this blog, we’ll discuss the ways in which we’re continuously investing in our skills taxonomy to build a strong, reliable foundation for our Skills Graph to help ensure we can match our members’ skills to opportunity and knowledge. The table below demonstrates the input layer generation.

Building 85

Building Recruitment Machine Learning Deep Learning 85

Knowledge Hut

FEBRUARY 2, 2024

In this blog, I will explain the top 10 job roles you can choose per your interests and outline their salaries. While artificial intelligence is a broad domain, various subdomains like deep learning and artificial neural networks have abundant opportunities shortly. 10 Best Computer Science Courses To Get a High Paying Job 1.

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

ProjectPro

MARCH 12, 2016

Reader's Choice: The topic for this article has been recommended by one of our Blog subscribers. How PayPal uses Hadoop? Before the advent of Hadoop, PayPal just let all the data go, as it was difficult to catch-all schema types on traditional databases. PayPal expands its Hadoop usage into HBase to leverage HDFS.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

Cloudera

NOVEMBER 16, 2017

GPU acceleration for deep learning on demand. For more detail on user monitoring, read this article on the Cloudera Engineering Blog. Coming soon: support for SLES 12 and the Teradata Appliance for Hadoop. Learn more about how Cloudera Data Science Workbench makes your data science team more productive.

Data Science 40

Data Science Deep Learning Scala Hadoop 40

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc.,

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Neural Networks Explore Deep Learning, starting with Neural Networks.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

U-Next

SEPTEMBER 7, 2022

In a Data Lake architecture , Apache Hadoop is an example of a data infrastructure that is capable of storing and processing large amounts of structured and unstructured data. . Apache Spark and Hadoop can be used for big data analytics on data lakes. . As training data increases, deep learning requires scalability.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Machine learning skills. Once you understand of the techniques and technologies involved in machine learning and deep learning, remember that it is crucial to have some practical knowledge.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Science 52

LinkedIn Engineering

DECEMBER 20, 2023

By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain committed to ensuring a secure and trustworthy space for professionals to connect, share insights, and foster their career journeys.

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Building Algorithm Kafka Machine Learning 91

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. Deepak regularly shares blog content and similar advice on LinkedIn.

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Data Engineer Data Engineering Engineering AWS 52

ProjectPro

NOVEMBER 24, 2021

Allow us to challenge your thoughts and read this blog as we will help you answer all those questions. Knowledge of machine learning algorithms and deep learning algorithms. Experience with Big data tools like Hadoop, Spark, etc. It is easier to learn data science if you have a master’s degree in statistics.

Data Science 52

Data Science Consulting Machine Learning Software Engineer 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. Skills Required Skills necessary for AI engineers are programming languages, statistics, deep learning, natural language processing, and problem-solving with communication skills.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

JANUARY 22, 2024

Some common specializations include: Machine Learning and AI These courses provide in-depth knowledge of machine learning algorithms like regression, classification, clustering, deep learning and natural language processing. Students work with SQL, NoSQL databases, Hadoop ecosystem, Spark, Kafka etc.

Data Science 52

Data Science Certification Education Programming 52

ProjectPro

SEPTEMBER 29, 2021

Probability and Statistics are two intertwined topics that smoothen one’s path to becoming a Machine Learning pro. In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. How to choose the Best Probability Course for Machine Learning?

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Machine Learning Insurance Algorithm Datasets 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role. for building effective workflows.

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Data Engineer Data Engineering Coding Project 52

ProjectPro

JUNE 18, 2021

This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021. Some of which are: Deeplearning4J: It is an open-source framework written for the JVM which provides a toolkit for working with deep learning algorithms.

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Java Data Science Python Programming Language 52

ProjectPro

FEBRUARY 24, 2016

This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors. 49% of data science job postings mention Hadoop as a must-have skill for a data scientist.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

JULY 12, 2021

This blog will take you through a relatively new career title in the data industry — AI Engineer. Additionally, the role involves the deployment of machine learning/deep learning problem solutions over the cloud using tools like Hadoop, Spark, etc.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Knowledge Hut

SEPTEMBER 29, 2023

This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Some data scientists may even work in the field of deep learning, iteratively exploring to find a solution to a challenging data issue utilizing unique methods.

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Certification Data Engineer Data Engineering Engineering 52

Sync Computing

NOVEMBER 7, 2024

The growing role of big data and associated technologies, like Hadoop and Spark, have nudged the industry away from its legacy origins and toward cloud data warehousing. Data lakes are flexible enough to support todays deep learning and data science, but fall short in infrastructure, governance, and relational analytics.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Cloudera

MAY 22, 2018

In the realm of machine learning, for example, data scientists can now accelerate deep learning by 5x-10x by utilizing specialized resources like GPUs. x appeared first on Cloudera Blog. With Cloudera Enterprise 6.0, there are new possibilities for finding valuable analytics insights.

Building 40

Building Data Warehouse Machine Learning Government 40

ProjectPro

OCTOBER 27, 2021

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions. Long short-term memory is one of the techniques they employ.

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Finance Machine Learning Project Banking 52

ProjectPro

JULY 23, 2021

This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop. With Amazon Polly, you can use advanced deep learning technologies to carry out accurate conversions.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

SEPTEMBER 6, 2021

AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. Table of Contents AWS vs. GCP - The Cloud Battle AWS vs. Tensorflow: Tensorflow is an already renowned name in the machine learning community. It is used widely in deep learning models and packs many useful Machine Learning functions.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

JANUARY 25, 2022

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? How long does it take to learn PySpark? PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Snowflake is not based on existing database systems or big data software platforms like Hadoop. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Knowledge Hut

OCTOBER 30, 2023

The article will also discuss some big data projects using Hadoop and big data projects using Spark. This is an intriguing big data Hadoop project for newcomers who wish to learn the fundamentals of running data queries and analytics using Apache Hive. The top big data projects that you shouldn't miss are listed below.

Big Data 52

Big Data Coding Project Medical 52

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. The Apache Hadoop open source big data project ecosystem with tools such as Pig, Impala, Hive, Spark, Kafka Oozie, and HDFS can be used for storage and processing.

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. Additionally, they must be able to formulate those questions utilising a variety of tools, including analytic, economic, deep learning, and scientific techniques. What are Data Scientist roles?

Data Science 52

Data Science Retail Computer Science Entertainment 52

AltexSoft

DECEMBER 15, 2021

Neural architecture search or NAS is a subset of hyperparameter tuning related to deep learning, which is based on neural networks. For example, the Model Search platform developed by Google Research can produce deep learning models that outperform those designed by humans — at least, according to experimental findings.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Databand.ai

DECEMBER 20, 2022

He is also an open-source developer at The Apache Software Foundation and the author of Hysterical , a popular blog on tech careers and topics like data, coding, and engineering. He is certified in functional programming, machine learning, and data analysis and statistical inference and is passionate about teaching and mentoring others.

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Data Analytics Google Cloud Data Science Data Mining 52