ProjectPro

FEBRUARY 11, 2021

That’s very savvy because machine learning engineers are the Swiss Army Knife of the data world. Before we forget, we want to make sure you know about our end-to-end solved data science and machine learning projects that are designed to help any mid-career professional kick-start their machine learning career.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

FEBRUARY 24, 2016

What’s the average data scientist salary in 2023? How much does a data scientist make? Do data scientists make a lot of money? FAQs on Data Scientist Salary Data Scientist Salary: What to Expect A data scientist has a very comprehensive job. job score) and worth paying attention to in 2023 and beyond.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

JUNE 17, 2016

With all these proven facts – it is absolutely necessary to create the perfect LinkedIn profile, in order to secure the right job to start your career in Big Data analytics. 92% of the jobs are posted on LinkedIn vs. 39% on Twitter and 48% on Facebook.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. Another study from Indeed, the online job portal giant, revealed that machine learning engineers, data scientists, and software engineers with these skills are topping the list of most in-demand professionals.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. What is a Data Science Platform? They are: 1.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

AltexSoft

JANUARY 26, 2022

As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

AUGUST 25, 2021

This blog introduces the critical differences that one encounters when anyone performs an analysis of logistic regression vs linear regression. Table of Contents Linear Regression vs Logistic Regression - How are they related ? Table of Contents Linear Regression vs Logistic Regression - How are they related ?

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

ProjectPro

JANUARY 6, 2022

Humans crave stories, and visualizations allow us to create one from data. The majority of data that data scientists and machine learning engineers work with is in a structured or unstructured format that is challenging for humans to analyze and comprehend. Table of Contents Why Use Python for Data Visualization?

Python 52

Python Datasets Programming Language Data Science 52

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

SEPTEMBER 11, 2021

This blog contains a list of business analyst interview questions and answers. Commercial understanding of different businesses. Good at leading teams of people from different backgrounds. The statement can be backed by the statistical facts revealed by the U.S. Excellent interpersonal and communication skills.

Business Analyst 52

Business Analyst Database-centric MySQL SQL 52

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Netflix Tech

JULY 21, 2022

Unlike strong compute devices, TVs and set top boxes usually have stronger memory constraints. We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform.

Machine Learning 71

Machine Learning Datasets Big Data Data Pipeline 71

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop AWS Relational Database 52

Airbnb Tech

JUNE 1, 2021

Because of this multi-year investment, when Airbnb’s business was severely disrupted by COVID-19 last year, we were able to quickly turn data into actionable insights and strategies. We built Minerva to be: Standardized : Data is defined unambiguously in a single place. Consistent : Data is always consistent.

Datasets 52

Datasets Pipeline-centric Metadata Data Science 52

ProjectPro

MARCH 23, 2016

In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Little did anyone know, that this research paper would change, how we perceive and process data. Since then, it is evolving continuously and changing the big data world.

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

APRIL 12, 2021

The foremost step when deciding on choosing a neural network model is to have a good know-how of the data and then decide the best model for it. So, the task at hand and the data play a vital role in choosing the best neural network model for a given problem. Ready to dive in? Then let’s get started!

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 7, 2016

This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. Understanding the Hadoop architecture now gets easier!

Hadoop 40

Hadoop Architecture IT Big Data 40

DareData

APRIL 17, 2023

Throughout my career, I've worked with technology, pushing organizations towards a sustainable and innovative way of working with data. By luck, I had the chance to receive formal training in Data Science and Machine Learning relatively early in the AI boom and was excited to work on projects that improved people's productivity using data.

IT 52

IT Machine Learning Media Data Science 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52