Knowledge Hut

NOVEMBER 19, 2023

AI as a Career Choice The development of Artificial Intelligence (AI) offers a promising career option for those interested in understanding how technology can assist with data and problem resolution. Algorithms, data preparation and model evaluations. Follow new trends in AI by reading research articles and blog posts.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

NOVEMBER 27, 2023

Additionally, proficiency in probability, statistics, programming languages such as Python and SQL, and machine learning algorithms are crucial for data science success. Through the article, we will learn what data scientists do, and how to transits to a data science career path. What Do Data Scientists Do?

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

AltexSoft

NOVEMBER 17, 2021

In this article, we’ll explore the essence of document classification, and study the main approaches to categorizing files based on their content. Read our separate article on that. Let’s say we analyzed a set of 50 articles about health and saw that all of them relate to 3 categories: psychology, nutrition, and sports.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

ProjectPro

DECEMBER 16, 2021

Data Science is an emerging discipline and so are the roles and job titles pretty much evolving. Read this article to understand the significant differences and similarities between a machine learning engineer and a data scientist. Table of Contents Machine Learning Engineer vs. Data Scientist - Who Are They?

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

JUNE 16, 2023

Theano Theano, a deep-learning framework developed by the Montreal Institute for Learning Algorithms. Experiment with different architectures, hyperparameters, and optimization algorithms to gain hands-on experience. MXNet supports various platforms and languages, making it a versatile tool for building deep learning models.

Deep Learning 52

Deep Learning BI Machine Learning Data Science 52

AltexSoft

JUNE 14, 2021

This article will explore the topic and its importance, how some insurers are already implementing it as their business model, how to approach personalization, and the challenges companies may encounter trying to implement it. The groups are created using algorithms that collect extensive customer data, such as health conditions.

Insurance 88

Insurance Medical Machine Learning Algorithm 88

Edureka

JANUARY 23, 2023

Data mining is a method that has proven very successful in discovering hidden insights in the available information. It was not possible to use the earlier methods of data exploration. Through this article, we shall understand the process and the various data mining functionalities.

Data Mining 52

Data Mining Banking Retail Medical 52

AltexSoft

AUGUST 25, 2021

But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. For example, tokenization (splitting text data into words) and part-of-speech tagging (labeling nouns, verbs, etc.) are successfully performed by rules.

Process 139

Process Deep Learning Datasets Machine Learning 139

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. What is a Business Analyst?

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 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. Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning.

Medical 52

Medical Computer Science Scala Machine Learning 52

AltexSoft

MARCH 18, 2022

In this article, we’ll dive into the term, explain how this ML process works, and what issues associated with the other two ML types it solves. Unlike supervised learning, the method uses small amounts of labeled data and further large amounts of unlabeled data, which reduces expenses on manual annotation and cuts data preparation time.

Datasets 52

Datasets Machine Learning Algorithm Raw Data 52

U-Next

SEPTEMBER 9, 2022

What is Data Science? . To solve business challenges, the area of Data Science combines the various fields of Machine Learning algorithms, data inference, programming, mathematics, and statistics. . They should be proficient in Python or R and at ease handling huge data sets.

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

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.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

ProjectPro

JANUARY 24, 2023

They were able to use SageMaker's pre-built algorithms and libraries to quickly and easily train their ML models and then deploy them to the edge (i.e., SageMaker also supports building customized algorithms and frameworks and allows for flexible distributed training options.

Building 52

Building Algorithm Machine Learning AWS 52

Knowledge Hut

APRIL 22, 2024

Data science , machine learning, and game design are just a few of the fields where it is used. In this article, We will assist you with instructions on installing Python on Ubuntu 18.04 In particular, this article's instructions will cover a step-by-step installation guide for the most recent stable version of Python, version 3.10.0.

Python 98

Python Programming Language Data Science Programming 98

Knowledge Hut

JANUARY 25, 2024

In the context of data science , clean data is crucial because the quality of your data directly impacts the reliability of your analysis and the outcomes of your algorithms. Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

AltexSoft

OCTOBER 30, 2021

Data engineers are programmers that create software solutions with big data. They’re integral specialists in data science projects and cooperate with data scientists by backing up their algorithms with solid data pipelines. Juxtaposing data scientist vs engineer tasks. Data preparation and cleaning.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

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.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

JUNE 21, 2023

In this article, we delve into the ADR concept, explain its formula, and shed some light on its advantages and drawbacks. Learn more about occupancy rate prediction in our dedicated article. Learn more about RevPAR in our dedicated article. However, like any other technique, it comes with its own strengths and weaknesses.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

ProjectPro

JUNE 2, 2015

May 26, Wall Street Journal: “Big Data Brings Relief to Allergy Medicine Supply Chains” Bayer AG a manufacturer of the allergy drug Claritin is using big data to get ahead of the seasonal trends. May 6, UK IT News V3.co.uk times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Retail 40

Knowledge Hut

APRIL 25, 2024

You'll be better able to comprehend the complex ideas in this field if you have a solid understanding of the characteristics of big data in data analytics and a list of essential features for new data platforms. What Are the Different Features of Big Data Analytics? The main features of big data analytics are: 1.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

AltexSoft

MAY 12, 2021

In this article, we’ll share key take-aways from our recent experience in building a prototype of a decision support tool that performs three tasks: lung segmentation, pneumothorax detection and localization, and. The most advanced AI algorithms achieved the accuracy of almost 97 percent. Data de-identification / anonymization.

Medical 72

Medical Healthcare Datasets Machine Learning 72

Knowledge Hut

FEBRUARY 1, 2024

You cannot expect your analysis to be accurate unless you are sure that the data on which you have performed the analysis is free from any kind of incorrectness. Data cleaning in data science plays a pivotal role in your analysis. It’s a fundamental aspect of the data preparation stages of a machine learning cycle.

Data Science 52

Data Science Process Data Cleanse Datasets 52

ProjectPro

AUGUST 30, 2022

This article will walk you through how one can start by exploring a loan prediction system as a data science and machine learning problem and build a system/application for loan prediction using your own machine learning project. Which algorithm is best for Loan Prediction using Machine Learning?

Machine Learning 52

Machine Learning Coding Project Datasets 52

AltexSoft

NOVEMBER 15, 2022

The starting point of any machine learning task is data. A lot of data, to be exact. A lot of quality data, to be even more exact. To learn the basics, you can read our dedicated article on how data is prepared for machine learning or watch a short video. Data preparation in 14 minutes.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

ProjectPro

AUGUST 9, 2021

Music streaming services profit from recommendation algorithms as well. Target = 1 means the user repeated the song in 30 days Target = 0 means the user did not repeat the song Songs.csv - It contains data on songs like song_id, song_genre, song_artist, song_lyricist, etc. We need to normalise the data and make it uniform throughout.

Data Science 52

Data Science Python Project Datasets 52

U-Next

SEPTEMBER 22, 2022

Several vetted models and algorithms are used in the predictive analytics tools in order to generate a large number of useful outcomes that are applicable to a wide range of use cases. . Understanding The Types Of Predictive Modeling Algorithms . Listed below are some of the different types of predictive modeling algorithms: .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

Picnic Engineering

MAY 23, 2023

In this article, we’ll share insights from the Advanced Analytics and Algorithms (AAA) team’s two-day hackathon, where one of the hackathon teams explored and benchmarked three different types of models for large-scale routing of customer feedback with text classification.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

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. Predictive Analytics HR Examples .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 82

Engineering Raw Data Data Science Scala 82

AltexSoft

JULY 23, 2022

In this article, we’ll highlight 5 use cases of adopting AI-based technologies in manufacturing. Machine learning algorithms can be used to successfully predict consumer demand as well as any changes related to it. By the way, we have an article about measuring ROI in machine learning. Demand forecasting explained.

Manufacturing 52

Manufacturing Technology Transportation Machine Learning 52

AltexSoft

DECEMBER 21, 2021

Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” ” In this article, you will find out what data labeling is, how it works, which data labeling types exist, and what best practices to follow to make this process smooth as glass.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

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

ProjectPro

JANUARY 15, 2021

For a machine learning model to perform different actions, two kinds of datasets are required – Training Dataset - The data that is fed into the machine learning algorithm for training. Test Dataset or Validation Dataset – The data that is used to evaluate and test that the machine learning model is interpreting accurately.

Datasets 40

Datasets Machine Learning Retail Banking 40

AltexSoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” It points out the critical role that data quality plays in the outcomes you get from these algorithms. Watch our video about data preparation for ML tasks to learn more about this.

Engineering 59

Engineering Hospitality Transportation Algorithm 59

ProjectPro

AUGUST 24, 2021

Source Code: Real-World Data Engineering Project on COVID-19 Data 10) Movielens Data Analysis for Recommendations Recommender System is a system that seeks to predict or filter preferences according to the user's choices. There are three stages in this real-world data engineering project. The final step is Publish.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

AUGUST 22, 2022

Besides, the data fabric approach leaves the organization with a centralized team that is responsible for all the data, while data mesh implies distributed ownership of the data — each team has its own data products and they are responsible for its distribution to other teams. Data fabric vs data virtualization.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52