Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

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Knowledge Hut

JANUARY 18, 2024

They also look into implementing methods that improve data readability and quality, along with developing and testing architectures that enable data extraction and transformation. Skills along the lines of Data Mining, Data Warehousing, Math and statistics, and Data Visualization tools that enable storytelling.

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U-Next

AUGUST 25, 2022

And your capstone project for the year ought to be a move. Any topic that provides value or resolves a problem might be the subject of a project. The project concepts should ideally align with your career goals after college. Check out our favorite bunch of project ideas for engineering students that you should consider: 1.

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ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Utilize natural language data to draw insightful conclusions that can lead to business growth.

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Knowledge Hut

APRIL 19, 2023

Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. in today's data-driven world, Consolidating, processing, and making meaning of this data in order to derive insights that can guide decision-making is the difficult part.

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ProjectPro

AUGUST 5, 2021

There are a variety of AI projects you can do to gain a grasp of these libraries. If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects.

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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.

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Knowledge Hut

JANUARY 18, 2024

Although both Data Science and Software Engineering domains focus on math, code, data, etc., Is mastering data science beneficial or building software is a better career option? Data Science is a field of study that handles large volumes of data using technological and modern techniques.

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Knowledge Hut

JANUARY 12, 2024

The goal of LDA is to project the features in higher dimensional space onto a lower-dimensional space in order to avoid the curse of dimensionality and also reduce resources and dimensional costs. Here is an article on Measures of Dispersion. P is considered as the lower-dimensional space projection, also called Fisher’s criterion.

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Knowledge Hut

APRIL 26, 2024

Data is defin ed according to the problem it represents. The sole reason for this growth has been the explosion of data that we have seen in the past few years. For Text Classification, the datasets are IMDB Movie Reviews, Twitter Analysis data, Sentiment 140, and Reuters Newswire Topic Classification.

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ProjectPro

MAY 5, 2015

I got a lot of examples from their professional experience which definitely helped understand the relevance of the projects in the professional world." I was fortunate enough to get the chance to work on a Big Data project which involved deploying a Hadoop cluster and this helped me immensely. Camille St.

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ProjectPro

JULY 7, 2021

You don't know what to learn next because you have the theoretical know-how of the concepts and no hands-on experience working with diverse deep learning frameworks and tools.This article will break down the steps you can take to enhance your deep learning skills. Why build deep learning projects? Why build deep learning projects?

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Knowledge Hut

JULY 7, 2023

Furthermore, AI-powered project management tools may aid in the planning and scheduling of projects, resource allocation, and risk management in the project. A KBSE system, for example, may be used to generate code based on previous code samples or to recommend code snippets depending on the requirements of a project.

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U-Next

SEPTEMBER 17, 2022

With the passage of the 1990s and the introduction of data mining , the need for a common methodology to integrate lessons learned intensified. Planning a data mining project can be structured using the CRISP-DM model and methodology. Data Understanding . The next phase is Data Understanding.

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Edureka

APRIL 17, 2023

However, with the increasing demand for data analysts, the competition for available jobs is getting steeper. Therefore, it’s essential to have a strong set of data analyst skills to stand out from the competition and land your dream job. Start by working on small projects and gradually move to more complex tasks.

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ProjectPro

JULY 15, 2021

From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. Practicing diverse real-world hands-on cloud computing projects is the only way to master related cloud skills if you want to land a top gig as a cloud expert.

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ProjectPro

FEBRUARY 8, 2016

The three most common types of analytics, descriptive, predictive, and prescriptive analytics, are interconnected solutions that help businesses make the most of their big data. It is the simplest form of analytics, and it describes or summarises the existing data using existing business intelligence tools.

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Knowledge Hut

SEPTEMBER 6, 2023

To become a Data Scientist, it is imperative that you aim for the best Data Science Certifications to start your career and be recognized in the industry. A Data Science Certification can validate your skills and expertise in the industry and demonstrate your capabilities to potential employers.

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Data Science Certification Business Analyst Machine Learning 97

Towards Data Science

FEBRUARY 2, 2024

Stick to an aggregate projection of costs divided evenly across a time period (typically a month or quarter). Levers to optimize data investments When it comes to optimizing your data investments, the name of the game is efficiency. This data use case generally comes in two flavors. The first is when data IS the product.

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Knowledge Hut

FEBRUARY 7, 2023

SAS, on the other hand, is about 50-year-old proprietary data science tool catering to the industry's demands. Let us explore more about SAS as a tool, SAS programming and SAS certification in this article.  Big organizations and experts employ SAS for their data science projects due to its high reliability. What is SAS? 

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Knowledge Hut

MAY 23, 2024

This vast stream of interdisciplinary domains deals with data in different ways. It helps companies understand data and obtain meaningful insights from it. According to the GlobeNewswire report , the projected growth of the data science market will hike up to a CAGR of 25 percent by 2030.

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ProjectPro

OCTOBER 16, 2021

Table of Contents Hands-on Machine Learning with Scikit-learn and TensorFlow: The Introduction Hands-on Machine Learning with Scikit-learn and TensorFlow - Machine Learning Projects to Practice Scikit-Learn Projects TensorFlow Projects Bonus Machine Learning Projects!

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ProjectPro

DECEMBER 7, 2021

Consider these free data analyst portfolio platforms if you're just getting started: Github : GitHub, an open-source community of 56 million developers, is one such popular choice for hosting your portfolio for free. You can include projects in your Featured, Experience, or Education categories on LinkedIn.

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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. The popularity of R is likely to continue to grow as the field of data science continues to evolve.

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ProjectPro

NOVEMBER 3, 2021

So, if this seems tempting enough and you wish to explore how to freelance as a data scientist, move ahead to the next section of this blog, where we discuss this in detail. Step-5: Advertise your Data Science Skills! That is primarily because the field of Data Science has quite a lot of subdomains to explore.

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Knowledge Hut

DECEMBER 26, 2023

However, if they are properly collected and handled, these massive amounts of data can give your company insightful data. We will discuss some of the biggest data companies in this article. So, check out the big data companies list. Amazon has a team of data scientists who work on big data projects.

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RandomTrees

OCTOBER 18, 2024

In this article, we will examine how these transformations are being driven by GenAI applications in the finance sector, particularly AI-powered risk management solutions and financial analytics tools. GenAI utilizes data mining technologies to detect fraudulent transactions by studying various transacting behavior patterns.

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ProjectPro

MAY 23, 2015

It takes in approximately $36 million dollars from across 4300 US stores everyday.This article details into Walmart Big Data Analytical culture to understand how big data analytics is leveraged to improve Customer Emotional Intelligence Quotient and Employee Intelligence Quotient.

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Knowledge Hut

FEBRUARY 14, 2024

This article will walk you through the average MBA salary and different salaries offered to MBAs based on their skillset and expertise. 4) MBA in Business Analytics Data analyst, business analyst, marketing data analyst, data-mining specialist, and architecture are career options for MBA in Business Analytics Degree.

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Knowledge Hut

DECEMBER 27, 2023

This article will explain the business analyst career path and how it is beneficial, and you can choose the ECBA Certification online to learn more about the various aspects of the domain and become a business analyst. Let’s check business analyst career progression in this article. Experience working with data is also essential.

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U-Next

SEPTEMBER 23, 2022

A business analyst helps and facilitates communication between stakeholders and the project team in addition to introducing, managing, and making important changes to the organization’s business model. . Their work aids in improving comprehension of project requirements. Types of Business and Data Analytics .

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Knowledge Hut

JUNE 16, 2023

In today's data-driven world, organizations are trying to find valuable insights from the vast sets of data available to them. That is where Data analytics comes into the picture - guiding organizations to make smarter decisions by utilizing statistical and computational methods. Why Pursue a Career in Data Analytics?

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Knowledge Hut

NOVEMBER 17, 2023

This post begins a comprehensive journey aimed at providing individuals with the essential Azure data engineer skills, needed to excel as an Azure Data Engineer. Join me as we explore the ins and outs of the Azure data engineer skill set , with the help of this article. Who is an Azure Data Engineer?

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AltexSoft

MAY 12, 2023

Of course, tapping into this immense pool of unstructured data may offer businesses a wealth of opportunities to better understand their customers, markets, and operations, ultimately driving growth and success. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

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AltexSoft

JULY 27, 2021

In this article, we’re taking you down the road of machine learning-based personalization. They call their recommendation approach the Music Genome Project, in which songs are classified based on a set of their genes (musical traits). implicit data or behavior data (e.g., Though such data is more difficult to analyze.

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U-Next

SEPTEMBER 29, 2022

A data analyst may also clean or format data, removing unnecessary or unsuitable information or determining how to cope with missing data. . A data analyst often works as part of an integrative team to identify the organization’s goals before managing the process of data mining, cleansing, and analysis.

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ProjectPro

MARCH 12, 2016

Reader's Choice: The topic for this article has been recommended by one of our Blog subscribers. PB of data; - $250 billion worth of payments processed every year; -12.5 If you have come across any other interesting big data use cases at PayPal or any other leading payment companies-share with us in comments below!

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