AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. In this article, we will look at some of the top Data Science job roles that are in demand in 2024.

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ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. In that case, this article is for you. Introduction to Deep Learning Algorithms How do Deep Learning Algorithms Work?

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AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In collaboration, they trained random forests — ensemble algorithms consisting of many decision trees — to generate individual forecasts. Inpatient data anonymization.

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Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

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Knowledge Hut

DECEMBER 26, 2023

What is Data Science? What are the roles and responsibilities of a Data Engineer? How does one become a Data engineer, and what skills are required? Our primary focus in this article will be to answer all these questions and take you a step forward towards your dream of becoming a Data engineer. And many more.

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Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Data observability helps ensure gen AI creates immense value — not embarrassing data disasters — for your organization.

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Unstructured Data Finance SQL Media 72

Knowledge Hut

APRIL 23, 2024

How does big data actually make it happen? Whether you know it or not, this article will help you understand how companies ride the big data wave without merely getting stuck by the massive volume. Go for the best Big Data courses and work on ral-life projects with actual datasets.

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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? This field uses several scientific procedures to understand structured, semi-structured, and unstructured data.

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AltexSoft

MAY 12, 2022

In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. Audio data file formats. Speech recognition.

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Machine Learning Building Datasets Healthcare 122

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices. Data relevance.

Hospitality 52

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Knowledge Hut

JANUARY 25, 2024

What is Data Cleaning? Data cleaning, also known as data cleansing, is the essential process of identifying and rectifying errors, inaccuracies, inconsistencies, and imperfections in a dataset. It involves removing or correcting incorrect, corrupted, improperly formatted, duplicate, or incomplete data.

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ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits.

Machine Learning 52

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Knowledge Hut

JUNE 26, 2023

If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article.

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AltexSoft

NOVEMBER 1, 2023

This article explains what named entity recognition is, its working principles, and how it is used in real life. A corpus can range from a set of news articles to academic journals or even social media posts. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data.

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AltexSoft

APRIL 27, 2023

In this article, we’ll review the most popular use cases of machine learning and AI in pharma and back them with real-life examples from industry leaders. No wonder, pharma companies seek ways to make the journey shorter — and pin their hopes on data analytics. Read our article on AI in drug discovery and repurposing to learn more.

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U-Next

AUGUST 8, 2022

In contrast, information mining is the practice of trying to remove information or intriguing patterns from unstructured data. Learning algorithms are applied in this processing system. The supervised learning is then given a fresh dataset, allowing the algorithm to analyse the labelled data and provide a successful result.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

Striim

AUGUST 31, 2023

Kappa architecture is a powerful data processing architecture that enables near-real-time data processing, making it ideal for companies needing to quickly process large amounts of data. The platform is optimized to support a wide range of data sources, including both structured and unstructured data.

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AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Make sure to check out our dedicated article.

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Data Lake Architecture IT Amazon Web Services 52

U-Next

SEPTEMBER 9, 2022

The platform distributes Hadoop large data and analytics operations among computer cluster nodes, breaking them down into smaller workloads that may be handled in parallel. Hadoop can scale up from a single server to thousands of servers and analyze organized and unstructured data. . What is Hadoop in Big Data? .

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AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

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ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Without much ado, it’s time for you to get your hands dirty with Python Projects for Data Science and explore various ways of approaching a business problem for data-driven insights. 1) Music Recommendation System on KKBox Dataset Music in today’s time is all around us.

Data Science 52

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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. Source: Linguamatics.

Medical 52

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AltexSoft

JUNE 7, 2021

Which Big Data tasks does Spark solve most effectively? This article gives you all the answers — one by one. Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. A powerful Big Data tool, Apache Hadoop alone is far from being almighty. What is Hadoop.

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AltexSoft

MAY 5, 2023

To better understand how AI contributes to the growth of short-term rentals, we spoke with businesses involved in AI in the STR industry and included their opinions throughout this article. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

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ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Kicking off a big data analytics project is always the most challenging part.

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ProjectPro

NOVEMBER 30, 2021

Evolution of Machine Learning Applications in Finance : From Theory to Practice So, to make the most of the new fuel: Data, and to shop for the sky-rising old fuel: Petrol, it is crucial to be aware of all of these new terms thrown at us. It would require minimal human intervention to choose the optimal set of parameters for the algorithm.

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U-Next

SEPTEMBER 23, 2022

Artificial Intelligence and Machine Learning have both grown rapidly as a result of Data Science. . There are many differences between Data Science, Artificial Intelligence, and Machine Learning , which are discussed in this article. . What Is Data Science? . Statistical models are used in Machine Learning. .

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ProjectPro

OCTOBER 20, 2021

The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Monte Carlo

AUGUST 9, 2023

Teams throughout the organization would constantly be waiting on bottlenecks or broken pipelines to be addressed, and productivity and long-term data trust would plummet. In other words, data engineering workflows make modern data management possible at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

AltexSoft

OCTOBER 3, 2022

then you’ve already crossed paths with our article hero — a knowledge graph. To make such things happen, it had to go through many websites, find relationships between the information presented there, and finally serve useful data with great precision and speed. Our article about a data fabric has partially touched on knowledge graphs.

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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. It’s a subset of ML which is capable of learning from unstructured data. ML And AI Are The Future.

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ProjectPro

AUGUST 24, 2021

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

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ProjectPro

APRIL 14, 2015

The real hero behind the success stories of online love is the big data analytics technology and infrastructure that help people find their perfect life partner based on their stated preferences and behavioural matching. Big data dating is the secret of success behind long lasting romance in relationships of the 21 st century.

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Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineering 52

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phData: Data Engineering

JANUARY 3, 2022

What if your data is unstructured, and can’t be easily joined together with your other datasets? How do you know that particular pieces of information are actually correlated and make decisions off of data rather than gut feelings? This is where data science comes into the picture. What is Data Modeling?

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ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming The aim of this article is to mention some very common projects involving Apache Hadoop and Apache Spark. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 1. Scalability 4.Link

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