Knowledge Hut

MARCH 5, 2024

Data Engineering is quite a contemporary term used in the tech world. These data engineers work mainly on AI applications and the cloud, using high-rated and upgraded software Data Architect - The average National salary in Singapore for a Data Architect is S$11000 per month. Who is Data Engineer and What Do They Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Thus, data is the golden goose in machine learning. Where can I find datasets for machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Data Integration 3.Scalability

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JULY 30, 2021

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. These ML projects cover a broad range of machine learning skills plus they can be reused to suit your business use case.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer. Table of Contents How working on Hadoop projects will help professionals in the long run?

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc. Exabytes are 10006 bytes, so to put it into perspective, 463 exabytes is the same as 212,765,957 DVDs.

Certification 52

Certification Data Engineering Data Engineer Engineering 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. Most recruiters look for real-world project experience and shortlist the resumes based on hands-on experience working on data engineering projects.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon launched a promotional offer in 2011 – “Amazon pays shoppers $5 if they walk out of the store without any purchases.”

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

DECEMBER 7, 2021

After creating an account, you may begin contributing data projects to a public repository, where you can publish items such as code and Jupyter Notebooks. Linkedin : LinkedIn makes adding, modifying, and removing projects from your profile, which may also serve as an online portfolio, quite simple.

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

Databand.ai

DECEMBER 29, 2022

She’s trained thousands on how to strategically use the power of data visualization to enhance the decision-making process. Sudhir has built and led several high performing, global data teams and designed several interfaces and services across Microsoft and Google cloud products. The Complete Reference.

BI 52

BI Consulting Data Science Data Governance 52

ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Getting Started with Python for Data Science FAQs about data science projects Why Learn Python for Data Science? Following is a non-exhaustive list of libraries available to use in Python for Data Science - seaborn, matplotlib , sci-kit learn, NumPy , SciPy , requests, pandas , regex etc.

Data Science 52

Data Science Python Project Datasets 52

AltexSoft

MAY 5, 2023

We will explore prominent use cases, practical examples, and available AI tools that property owners and managers can leverage. The field of NLP has an array of uses that include developing sentiment analysis, facilitating the process of machine translation, and creating conversational AI agents and voice assistants.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

JUNE 9, 2023

We’ll highlight our company’s experience demonstrating how we’ve used ChatGPT within travel technology. If the technical details of large language models don’t interest you, you can skip directly to the use cases section. Remember, we’re still experimenting and learning more every day.

Project 52

Project Java Hospitality Transportation 52

AltexSoft

DECEMBER 15, 2021

It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms. AutoML objectives and benefits overlap with those of MLOps — a broader discipline with focus not only on automation but also on cross-functional collaboration within machine learning projects.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59