Knowledge Hut

OCTOBER 26, 2023

In the world of machine learning, where data-driven solutions have the power to transform industries and empower individuals, if you're new to this exciting field and eager to embark on your machine-learning journey, you're in the right place. What is Machine Learning, and why are ML projects interesting?

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Machine Learning Project Datasets Algorithm 52

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years. Governance is needed.

Data Lake 80

Data Lake Data Warehouse Hadoop Data Architecture 80

Knowledge Hut

SEPTEMBER 6, 2023

It involves a course which encompasses all concepts that a big data professional should master. Big Data certification courses are a great way to enhance skills and become adept data professionals, fully equipped to tackle modern-day world data challenges. Let me help you understand more about big data certifications.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

DECEMBER 14, 2021

Loan Application Analysis 10. Life Expectancy Data Analysis Power BI Projects Github 16. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling. billion by 2025 , according to a GlobalNewswire report. Table of Contents What is Power BI? OTT Media Dashboard 18.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

MAY 31, 2021

We bring the top big data projects for 2021 that are specially curated for students, beginners, and anybody looking to get started with mastering data skills. Many platforms, like GitHub and ProjectPro, offer various big data projects for professionals at all skill levels- beginner, intermediate, and advanced.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

NOVEMBER 11, 2021

Are you willing to learn computer vision but cannot find the perfect guide to start your learning? Read this blog until the end to learn how you can learn computer vision from scratch as a beginner. Table of Contents Why is Now the Best Time to Learn Computer Vision? Learn Python for Computer Vision 2.

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52

Workfall

FEBRUARY 28, 2023

Astonishment at what it can do, fear of cheating and replacement by “robots,” and warnings about the dangers of outsourcing creativity to machines are the main topics of conversation. LLM is a natural language processing-focused machine learning model (NLP). On November 30, 2022, OpenAI launched ChatGPT.

Datasets 62

Datasets Coding Algorithm Technology 62

DoorDash Engineering

MARCH 7, 2023

While most engineering tooling at DoorDash is focused on making safe incremental improvements to existing systems, in part by testing in production (learn more about our end-to-end testing strategy ), this is not always the best approach when launching an entirely new business line. Often we’re going from zero to one.

AWS 119

AWS PostgreSQL Database SQL 119

ProjectPro

JUNE 26, 2021

On June 10, 2021, Forbes magazine listed 16 Tech Roles That Are Experiencing A Shortage Of Talent. Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. One such role that the magazine has referred to is AR (Augmented Reality) and MR (Mixed Reality) Architects.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

AUGUST 28, 2021

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

Portfolio 52

Portfolio Project Datasets Algorithm 52

ProjectPro

JUNE 24, 2021

According to Gartner , organizations can suffer a financial loss of up to 15 million dollars for the poor quality of data. As per McKinsey , 47% of organizations believe that data analytics has impacted the market in their respective industries. This number grew to 67.9% as of 2018, and is only increasing from there.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

nodeSWAT

JUNE 21, 2016

Except the bundling occurs when the package is published — unless you want to publish the package to the NPM repository or have a clone set up, then it won’t actually help. NPM and open source modules are one of Node.js’ greatest strengths — and also one of it’s greatest weaknesses. It turned out there was a lot to discover. npmrc file.

Metadata 52

Metadata Google Cloud Coding Bytes 52

AltexSoft

OCTOBER 26, 2023

This practice is rapidly gaining popularity, as evidenced by a GitHub survey revealing that 92 percent of U.S.-based Natural language processing (NLP) is a branch of AI that provides machines with the capability to comprehend human language. Generative AI is, in turn, a subset of deep learning. What is AI coding?

Coding 52

Coding Programming Language Deep Learning Java 52

ProjectPro

JUNE 17, 2016

LinkedIn has nearly 6.5 million job listings. 97% of recruiters currently use LinkedIn to verify the experience, skills and overall assessment of a candidate. According to a recent study – 89% of all recruiters world over, have admitted to hiring somebody based on their LinkedIn profile.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Which big data tools and technologies should you try to master?

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Hadoop Big Data Banking Consulting 40

ProjectPro

JULY 27, 2021

Preparing for data engineer interviews makes even the bravest of us anxious. One good way to stay calm and composed for an interview is to thoroughly answer questions frequently asked in interviews. What are the roles and responsibilities of data engineer? What are the 4 most key questions a data engineer is likely to hear during an interview?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

JANUARY 26, 2022

Data engineers build data pipelines and perform ETL — extract data from sources, transform it, and load it into a centralized repository like a data warehouse. They commonly prepare data and build machine learning (ML) models. Get acquainted with how data is prepared for machine learning projects in our dedicated video.

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Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

AUGUST 9, 2018

Land your dream job with these AWS interview questions and answers suitable for multiple AWS Cloud computing roles starting from beginner to advanced levels. “I would like to become an AWS Solution Architect. What do you think are the most commonly asked AWS Architect Interview questions that I will have to answer during my interview?”

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AWS Amazon Web Services Cloud Computing Database 40

AltexSoft

SEPTEMBER 21, 2023

From those home-made beginnings as Compass, Elasticsearch has matured into one of the leading enterprise search engines, standing among the top 10 most popular database management systems globally according to the Stack Overflow 2023 Developer Survey. To help her, Banon developed a search engine for her recipe collection.

Engineering 52

Engineering NoSQL Programming Language Java 52

phData: Data Engineering

MAY 11, 2023

Bitbucket, Github) to allow advanced workflows. Best Git practices can be adopted by learning as few as three new concepts: branch, commit, and merge. That begs the question, if it is so easy to learn, “Why formalize a concept like ZDLC?” What is Zero-Code Development Life Cycle (ZDLC)?

Coding 52

Coding Software Engineer Software Engineering Government 52

Confluent

SEPTEMBER 20, 2019

Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc. But deployment is just the tip of the iceberg. To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service.

Kafka 21

Kafka Management Cloud AWS 21