Knowledge Hut

JANUARY 24, 2024

In today's digital age, where information permeates every corner of our lives, the role of a data scientist bears a striking resemblance to that of a modern-day explorer. Join me on this captivating expedition as we peel back the curtain, revealing the intricacies that define "A Day in the Life of a Data Scientist."

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ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Why do data scientists love Python for Data Science?

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Knowledge Hut

DECEMBER 26, 2023

Do you know how much time, on average, a recruiter spends on a resume? This article will explore how you can do that. Through this article, you will also learn about the best entry-level data scientist resume and CV samples. How Important is a Data Scientist Resume? It is less than seven seconds.

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U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. Data science is a relatively new field, and it is still evolving. Introduction .

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Knowledge Hut

MARCH 15, 2024

What Does a Machine Learning Engineer Do? But before getting started, aren’t you curious about what does a machine learning engineer do? To become one of them, you must gather substantial knowledge in the areas of advanced mathematics, software engineering, and data analytics.

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Machine Learning Engineering Amazon Web Services Algorithm 52

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. One big use case is with sensor data.

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ProjectPro

APRIL 14, 2021

We decided to write this content piece because, in the past few months, many aspiring data science professionals asked our project advisors these questions on getting started with a data science career - “I want to learn data science but I don’t know where to start.”

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Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. What is Big Data Certification?

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Knowledge Hut

NOVEMBER 19, 2023

In this blog, we will explore the career paths of Artificial intelligence and what skills are most important to consider while taking this journey. There are various career options in artificial intelligence that you can consider if you want to be a machine learning engineer, data scientist, AI researcher or an AI ethicist.

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Computer Science Programming Language Machine Learning Business Intelligence 52

Data Engineering Podcast

JUNE 24, 2019

Summary Building a data platform that works equally well for data engineering and data science is a task that requires familiarity with the needs of both roles. Data engineering platforms have a strong focus on stateful execution and tasks that are strictly ordered based on dependency graphs.

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ProjectPro

NOVEMBER 3, 2021

If you are tired of googling how to become a freelance data scientist , you need to relax because your search is finally over. In this blog, we have presented a step by step guide for becoming a freelance data scientist and a quick and easy way of getting hired as a freelance data scientist.

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Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. What is Data Analytics?

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Data Engineering Podcast

DECEMBER 7, 2020

Summary Building data products are complicated by the fact that there are so many different stakeholders with competing goals and priorities. Different organizations have tried a multitude of organizational strategies to improve the success rate of these data teams with varying levels of success.

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Building Consulting Big Data Data Engineering 100

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. vs. What does a Data Engineer do? Are you a Data Scientist or a Data Engineer? Is data engineering more important than data science?

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Knowledge Hut

FEBRUARY 16, 2023

Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Healthcare 52

Data Engineering Podcast

AUGUST 5, 2019

Summary Data is only valuable if you use it for something, and the first step is knowing that it is available. As organizations grow and data sources proliferate it becomes difficult to keep track of everything, particularly for analysts and data scientists who are not involved with the collection and management of that information.

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ProjectPro

JANUARY 31, 2023

Want to know who is a business intelligence engineer, what does a business intelligence engineer do, and how these BI engineers turn mountains of data into actionable insights? Table of Contents What is a Business Intelligence Engineer? What Does a Business Intelligence Engineer Do?

Business Intelligence 52

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Lyft Engineering

OCTOBER 3, 2023

High-quality data is necessary for the success of every data-driven company. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale. What and Where is Data Quality?

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Knowledge Hut

FEBRUARY 28, 2024

It is not feasible to analyze and interpret large amounts of data manually. Data visualization has become vital to understanding the various trends present in the data – both visible, as well as hidden trends. How do top UX designers and visual designers illustrate complex information without confusing users?

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BI Business Intelligence Data Data Science 52

Data Engineering Podcast

FEBRUARY 25, 2018

Summary One of the sources of data that often gets overlooked is the systems that we use to run our businesses. This data is not used to directly provide value to customers or understand the functioning of the business, but it is still a critical component of a successful system.

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DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” How do you scale an organization without hiring an army of hard-to-find data engineering talent? How do you scale an organization without hiring an army of hard-to-find data engineering talent?

Data Engineering 52

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Rockset

JANUARY 10, 2019

This post outlines how to use SQL for querying and joining raw data sets like nested JSON and CSV - for enabling fast, interactive data science. Data scientists and analysts deal with complex data. Much of what they analyze could be third-party data, over which there is little control.

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ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. Does it offer good pay? Read this blog to find out! This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2

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Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

SEPTEMBER 27, 2021

After the birth of the new domain of Data Science, data has become a prized possession for most companies. They rely on data science algorithms to understand customer behavior, predict sales, etc. They then use the algorithms to formulate necessary predictions from the data.

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ProjectPro

FEBRUARY 17, 2022

What are these feature selection methods, and how are they used in building efficient predictive models? Table of Contents Feature Selection Methods in Machine Learning What is Feature Selection in Machine Learning? Feature Selection Algorithms How to do Feature Selection? Continue reading this blog to know more about them.

Machine Learning 52

Machine Learning Algorithm Datasets Banking 52

Picnic Engineering

JULY 24, 2023

Want to learn more about why and how we aim to do that utilizing fruit and festive experiments? In this blog post, we’ll discuss how we teach transformers to distinguish between products like a potato and a banana, thereby enhancing future demand prediction. What happens when we order too little? Then you are in the right place!

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Monte Carlo

JUNE 22, 2023

At our latest IMPACT summit, Roche shared their data mesh strategy for creating reliable data products. The goal of the Roche data team is to maximize the outcomes of customers and patients through data and analytics products. So they agreed to leverage Data Vault 2.0 It became clear they had to shake things up.

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Building Data Ingestion Data Business Analyst 52

ProjectPro

JULY 12, 2021

The demand for data-related roles has increased massively in the past few years. Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. What is an AI Engineer? What does an AI Engineer do?

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Engineering Deep Learning Software Engineer Software Engineering 40

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. Figure 1: Data analytics challenge – distributed teams must deliver value in collaboration.

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ProjectPro

FEBRUARY 5, 2022

This blog introduces the concept of time series forecasting models in the most detailed form. The blog's last two parts cover various use cases of these models and projects related to time series analysis and forecasting problems. How do you do a time series analysis? What is Time Series Forecasting?

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ProjectPro

FEBRUARY 11, 2021

And yes, we’re talking to you - the person who’s reading this because they’re probably wondering what is a machine learning engineer, what does a machine learning engineer do, how to become a machine learning engineer , and, more importantly, whether they can pull it off.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. But what happens when the data is wrong? What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard?

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ProjectPro

OCTOBER 6, 2021

This blog is a step-by-step guide for a beginner in NLP. If you are someone who wants to know what is the best way to learn NLP from scratch, then please go through our blog till the end. We assure you will build the confidence and gear up yourself to make a career transition into data science as an NLP Engineer.

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Knowledge Hut

FEBRUARY 15, 2023

Singapore's job market is filled with talented Data Analysts. By collecting data, they can make business decisions and identify patterns. Some organizations require these data investigators to help them understand their information, while others need them for more complicated tasks. What is a Data Analyst?

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Knowledge Hut

JUNE 27, 2023

From artificial intelligence to big data, cybersecurity to software engineering, the world of computer science is constantly evolving. But it's not just about staying competitive in the job market - computer science is also a field that touches nearly every aspect of our lives, from the smartphones we use to the cars we drive.

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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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DareData

SEPTEMBER 2, 2020

The world of data science and information technology is a constantly evolving landscape, where dozens of new tools and methodologies are created and updated daily, and many others quickly become obsolete. This is a completely normal occurrence , and is part of what makes this business exciting.

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