Knowledge Hut

MAY 23, 2024

All the different processes that data science uses for analyzing & extracting insight from data require appropriate tools. A data science professional, data analyst, data engineer, and data scientist need to have high proficiency in these tools to excel in the data science career.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

Knowledge Hut

JANUARY 18, 2024

These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data. Even Email spam filters that we enable or use in our mailboxes are examples of weak AI where an algorithm is used to classify spam emails and move them to other folders.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

DECEMBER 21, 2023

Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course. It incorporates several analytical tools that help improve the data analytics process. What is Hadoop?

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

JANUARY 12, 2024

Here is an article on Measures of Dispersion. The techniques of dimensionality reduction are important in applications of Machine Learning, Data Mining, Bioinformatics, and Information Retrieval. Logistic Regression is a simple and powerful linear classification algorithm. Thus it is an unsupervised algorithm.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

Knowledge Hut

JULY 31, 2023

In 2023, Business Intelligence (BI) is a rapidly evolving field focusing on data collection, analysis, and interpretation to enhance decision-making in organizations. This article explores prominent research subjects within BI for 2023. They manage data access, monitor data quality, and enforce data protection measures.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JULY 7, 2023

However, the development of such tools presents significant technical and ethical challenges, such as the necessity of large amounts of high-quality data, the risk of bias present in AI algorithms, and the possibility of AI replacing human jobs. Efficiency The development of multimodal NLP systems must take efficiency into account.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

Knowledge Hut

DECEMBER 28, 2023

Processing massive amounts of unstructured text data requires the distributed computing power of Hadoop, which is used in text mining projects. Apache Mahout is a text mining project built on Hadoop; it offers a library of methods for doing machine learning and data mining on massive datasets.

Hadoop 52

Hadoop Project Datasets Big Data 52

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. Thus, big data in big companies is used for various purposes.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

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. R is also very popular among data scientists. million articles mention R.

Machine Learning 40

Machine Learning Data Science Programming Language Data Mining 40

Edureka

FEBRUARY 27, 2023

This article will discuss what BI is, its use, and its current associated trends. Self-service BI tools are becoming more popular as they allow users to access and analyze data without needing assistance from IT or a data analyst. Mobile BI is another growing trend as more people use mobile devices to access information.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

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. That is primarily because the field of Data Science has quite a lot of subdomains to explore. Below is a format that you can use to showcase every project.

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Portfolio Data Science Algorithm Programming Language 52

U-Next

AUGUST 25, 2022

Additionally, PyTorch enables users to directly access ONNX platforms, runtimes, and more by exporting models in the industry-standard ONNX (Open Neural Network Exchange) format. It was created by the Montréal Laboratory for Learning Algorithms and is similar to the Numpy library. TensorFlow. Conclusion.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

Databand.ai

DECEMBER 20, 2022

In his role at LendingTree, he works closely with the data engineering team, synthesizes findings from data to provide actionable recommendations, and works with tree-based algorithms. He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

U-Next

OCTOBER 27, 2022

In order to achieve operational excellence, data mining, etc., Natural Language Generation (NLG) is the process of creating natural language text based on Machine Learning algorithms. NLG can be used to generate content for various applications, including chatbots and automated documents like reports and articles. .

Technology 40

Technology Data Cleanse Machine Learning Banking 40

ProjectPro

OCTOBER 16, 2021

It contains codes to support the implementation of machine learning algorithms in Python. Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms. When using deep learning algorithms , most people believe that they need highly advanced and expensive computer systems.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 52

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.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. We will discuss more on this later in this article. What is Big Data?

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

AltexSoft

JULY 27, 2021

In this article, we’re taking you down the road of machine learning-based personalization. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. But how to start personalizing product and content offers?

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

U-Next

SEPTEMBER 28, 2022

– Collecting data and finding trends of employee productivity and engagement to better understand existing employee job satisfaction. – Developing a prediction algorithm to identify employees who may be on the verge of quitting. Analytics can assist you in improving the performance indicators of your HR team.

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

U-Next

SEPTEMBER 29, 2022

Artificial Intelligence will bring about a wide range of new possibilities, including automation, personalization, service delivery, and data accessibility. A number of hyperparameters are typically included in newer algorithms. Learning from data helps you improve your predictions with Machine Learning algorithms.

Management 52

Management Machine Learning Deep Learning Algorithm 52

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Big data computing frameworks like clouds and servers are utilized for data storage and accessibility.

Medical 52

Medical Computer Science Scala Machine Learning 52

U-Next

OCTOBER 27, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. These algorithms learn from large data sets, which are processed through CPUs or GPUs depending on their type of application. . The most popular methods are:

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

AUGUST 25, 2022

The sentiment classification algorithm examines the phrases in each mobile user’s remark on a particular product and begins matching them with phrases already present in the databases. Because fingerprints may be used to permit or revoke access for withdrawal and payments, having an ATM card would be even no longer necessary.

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Project Engineering Medical Healthcare 40

Knowledge Hut

SEPTEMBER 25, 2023

Now, let's dive into the heart of this blog article: a comprehensive list of the best data analyst courses and certifications. What is Data Analyst Certification? You can also acquire a comprehensive understanding of your data sets by using statistical and regression analyses to identify the link between various data points.

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Certification Business Analyst Big Data Data Analysis 52

U-Next

AUGUST 25, 2022

They will employ the information in Machine Learning models that individuals and organizations may use after they have a deeper knowledge of the raw and different data formats. The fundamental building block of traditional computing is an algorithm, a written set of instructions that a computer can comprehend and use to solve a given issue.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

AltexSoft

AUGUST 10, 2021

This process is called lead scoring and with access to data analytics, it allows you to predict how much each lead matters with utmost accuracy. You will learn more about how it works and why you should use it in this article. Access to external databases. Data security. How does lead scoring work? One ecosystem.

Machine Learning 72

Machine Learning Data Mining Datasets Algorithm 72

ProjectPro

AUGUST 13, 2021

Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. This application of machine learning algorithms has changed the game for many businesses. The algorithm has now evolved into exciting neural networks like ANN, CNN, RNN, etc.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

JULY 23, 2021

But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Deep Learning algorithms can imitate the working of the human brain. It creates patterns and feeds on data to make machines eligible to reap decisions on their own.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

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. Dating App Algorithm 10. Is it difficult to build deep learning models?

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Deep Learning Project Portfolio Datasets 40

ProjectPro

DECEMBER 17, 2021

So, if you are a professional data scientist or an enthusiast, read this article for a collection of take-home Data Science Challenges and develop better skills by attempting them. Working on take-home data science challenges is equally important for professionals and beginners alike.

Data Science 52

Data Science Medical Datasets Machine Learning 52

Zalando Engineering

FEBRUARY 1, 2017

At Zalando, we’ve been putting together a series of articles that explain how we are applying microservice patterns to our applications: Fashion Store , Skipper , and Mosaic. The service objective is to point them in the direction of the most specific and relevant fashion articles as quickly as possible.

Data Mining 40

Data Mining Metadata Retail Algorithm 40

ProjectPro

AUGUST 5, 2021

Candidates are aware of the keyword matching algorithm, and many of them insert as many keywords as possible into their resumes to get shortlisted by the company. The data is present in the form of text and needs to be pre-processed. Access the Instagram API with Python to get unlabelled comments from Instagram.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JULY 15, 2021

SaaS is the most common out of all, and it makes computing services accessible over a mobile/web app. IaaS provides users with access to basic computer infrastructure capabilities. The users can access massive platforms and apps without maintaining large-scale IT infrastructures.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

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 Interested to know how much a data scientist at PayPal earns? ”- said Hui Wang, PayPal’s senior director of global risk sciences.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

JULY 30, 2021

With so many companies gradually diverting to machine learning methods , it is important for data scientists to explore MLOps projects and upgrade their skills. In this project, you will work on Google’s Cloud Platform (GCP) to build an Image segmentation system using Mask RCNN deep learning algorithm.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40