Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. What is Data Science?

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Data Science Deep Learning Machine Learning NoSQL 40

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. That's the promise of a career in data science.

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Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 22, 2024

FinTech companies depend heavily on FinTech data science to simplify financial decision-making and deliver cutting-edge solutions. So first, let's see what data science in fintech is and its importance. What is Data Science? Want to learn more about Data Science in FinTech?

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Data Science Banking Big Data Insurance 52

Knowledge Hut

APRIL 26, 2024

can help users to get started with Machine Learning. Open Dataset Finders To solve any problem in data science, be it in the field of Machine Learning, Deep Learning, or Artificial Intelligence , one needs a dataset that can be input into the model to derive insights.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

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.

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Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. So put on your cyber shades and get ready to dive into the exciting world of Cyber security vs Data science. What is Data Science? What is Cyber Security?

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Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

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Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

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Deep Learning Algorithm Machine Learning Datasets 40

Snowflake

NOVEMBER 11, 2024

Snowflake will be introducing new multimodal SQL functions (private preview soon) that enable data teams to run analytical workflows on unstructured data, such as images. With these functions, teams can run tasks such as semantic filters and joins across unstructured data sets using familiar SQL syntax.

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Unstructured Data SQL AWS Healthcare 52

Knowledge Hut

MAY 31, 2023

Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field. Stock prediction aims to use AI to build models that can analyze historical stock data, spot patterns and trends, and forecast future prices. Let us get started!

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Knowledge Hut

MAY 3, 2024

Spark can access diverse data sources and make sense of them all and hence it’s trending in the market over any other cluster computing software available. We collect hundreds of petabytes of data on this platform and use Apache Spark to analyze these enormous amounts of data. Looking to excel in the world of data science ?

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U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays.

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Machine Learning Deep Learning Algorithm Data Mining 52

RandomTrees

JUNE 17, 2024

New technologies like deep learning, NLP, and blockchain are expected to have a significant impact on how frauds are detected. Deep Learning and Neural Networks Deep learning is associated with neural networks that have several layers, which gives them an advantage when it comes to pattern recognition as well as feature extraction.

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Banking Deep Learning Finance Machine Learning 52

U-Next

AUGUST 18, 2022

You could receive ten different responses if you consult ten distinct Data Scientists with the same question. This is because a Data Scientist’s duties and responsibilities might change significantly based on their experience, sector, and employer. All Data Science positions do, however, have some traits.

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Knowledge Hut

JUNE 20, 2023

Many people are learning data science for the first time and need help comprehending the two job positions. Data science is relatively new, and roles and job titles occasionally change. Skills A data engineer should have good programming and analytical skills with big data knowledge.

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Machine Learning Data Engineering Data Engineer Engineering 52

DareData

JANUARY 30, 2023

As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it. This can include both structured and unstructured data, and can encompass a wide range of data types, including transactional data, log files, and analytical data.

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Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

Data Science is a field where job offers have grown exponentially in the last few years alone. People use programming mathematics, statistics, and other domain knowledge in data science to extract important insights from big data. You can check out a Data Science Bootcamp to learn more about the field.

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AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio data file formats. Similar to texts and images, audio is unstructured data meaning that it’s not arranged in tables with connected rows and columns. Source: Towards Data Science.

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Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Data warehousing to aggregate unstructured data collected from multiple sources.

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AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data.

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DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

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AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Unstructured data represents up to 80-90 percent of the entire datasphere.

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

FEBRUARY 11, 2023

.); machine learning and deep learning models; and business intelligence tools. If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. What is the main difference between a data architect and a data engineer?

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AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Deep learning-based method of NER Deep learning offers a more automated and intricate approach to NER. Why use it?

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Deep Learning Machine Learning Datasets Algorithm 52

ProjectPro

FEBRUARY 16, 2023

Focus Historical data analysis, reporting, and visualization. Predictive and prescriptive analytics, machine learning, and deep learning. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. Tools OLAP, data visualization, reporting, and dashboards.

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Business Intelligence BI Data Mining Algorithm 52

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? Data Engineer: Skills Data Engineer vs Data Scientist: Salary How to Become a Data Scientist/Data Engineer?

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Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

DECEMBER 21, 2021

Explore Machine Learning Careers at Different Organizations Evolution of Machine Learning Applications in Finance : From Theory to Practice Here’s Your Ideal Machine Learning Engineer Career Path There are a few prerequisites you should focus on when you start your machine learning career path.

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Knowledge Hut

JUNE 27, 2023

Here are 6 pointers that explain why computer science future jobs are worth considering. Computer science is among the highest-paying fields. It offers job opportunities in emerging areas like artificial intelligence, machine learning, & data science.

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Computer Science Entertainment Healthcare Finance 52

Zalando Engineering

NOVEMBER 6, 2017

Ana, Senior Data Scientist at Zalando Dublin and one of the founding members of the Dublin data science team, ended up taking home the top prize – Data Scientist of the Year – much to the celebrations of the Dublin office. The DatSci Awards The explosion of data and data science is changing all of our worlds.

Data Science 40

Data Science Deep Learning Media Machine Learning 40

Knowledge Hut

JUNE 26, 2023

Working on a data engineering project will not only give you a deeper understanding of how data engineering works, but it will also improve your problem-solving skills as you encounter and fix problems within the project. What are Data Engineering Projects? Python source code for Big Data can be written.

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ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

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U-Next

SEPTEMBER 22, 2022

There are two types of predictive algorithms available: those that use machine learning or those that use deep learning. Data that is structured, such as spreadsheets or machine data, is used in machine learning (ML). Many data warehouses are not directly connected to systems that store user data.

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Knowledge Hut

SEPTEMBER 22, 2023

While a data engineer's day is never the same, you might encounter them running queries, building data pipelines, coding, designing data stores, fusing data sources, or meeting with data scientists. Data Engineers On-site and cloud data platform technologies are configured and provisioned by data engineers.

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ProjectPro

OCTOBER 18, 2021

Every final year student interested in pursuing a career in data science or machine learning must work on a hands-on project to experience a practical approach to how machine learning models are implemented and deployed in production. can help you model such machine learning projects. Let the FOMO kick in!

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Machine Learning Project Datasets Algorithm 52

AltexSoft

APRIL 27, 2023

Moderna’s data science team employs advanced analytics for other tasks as well. The event harmonizer automates data collection and processing. It integrates both structured and unstructured data from various sources and applies deep learning algorithms to extract meaningful entities from documents.

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ProjectPro

DECEMBER 1, 2017

IBM plans to integrate HDP into its data science and machine learning platforms and then migrate all its BigInsights users to HDP. The demand for hadoop in managing huge amounts of unstructured data has become a major trend catalyzing the demand for various social BI tools. Source: theregister.co.uk/2017/11/08/ibm_retires_biginsights_for_hadoop/

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

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