Knowledge Hut

OCTOBER 27, 2023

Microsoft created Power BI, a business analytics tool that enables users to visualize and analyze data from various sources quickly and interactively. It provides a wide range of features and functionalities, including data preparation, data modeling, data visualization, and collaboration tools.

BI 52

BI Project Datasets Healthcare 52

Edureka

JANUARY 23, 2023

Data mining is analysing large volumes of data available in the company’s storage systems or outside to find patterns to help them improve their business. The process uses powerful computers and algorithms to execute statistical analysis of data. They fine-tune the algorithm at this stage to get the best results.

Data Mining 52

Data Mining Banking Retail Medical 52

AltexSoft

NOVEMBER 17, 2021

Training neural networks and implementing them into your classifier can be a cumbersome task since they require knowledge of deep learning and quite large datasets. Stating categories and collecting training dataset. Before a model can classify any documents, it has to be trained on historical data tagged with category labels.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Knowledge Hut

JUNE 28, 2023

By examining these factors, organizations can make informed decisions on which approach best suits their data analysis and decision-making needs. Parameter Data Mining Business Intelligence (BI) Definition The process of uncovering patterns, relationships, and insights from extensive datasets.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

AltexSoft

MARCH 18, 2022

Supervised learning is training a machine learning model using the labeled dataset. Organic labels are often available in data, but a process may involve a human expert that adds tags to raw data to show a model the target attributes (answers). Supervised vs unsupervised vs semi-supervised machine learning in a nutshell.

Datasets 52

Datasets Machine Learning Algorithm Raw Data 52

Cloudera

DECEMBER 17, 2020

When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves. In August 2020 we released CDP Data Engineering (DE) — our answer to enabling fast, optimized, and automated data engineering for analytic workloads.

Machine Learning 79

Machine Learning Data Science Data Pipeline Raw Data 79

Rockset

JUNE 17, 2021

Netflix has built content recommendation algorithms that are responsible for 80% of the content streamed on their platform, saving the company $1B annually ( Dataconomy ). As operational databases were not designed for analytics, data is replicated to Rockset and automatically indexed for fast search, aggregations and joins.

Data Lake 40

Data Lake Architecture Data Preparation Database 40

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

Knowledge Hut

JUNE 20, 2023

Analyze trends and patterns Conduct in-depth data analysis, then present the findings. Assemble data for predictive and prescriptive modeling. Construct prototypes and algorithms Combine raw data from many sources. Investigate methods to improve data quality and reliability.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning? Why you need machine learning datasets?

Datasets 40

Datasets Machine Learning Retail Banking 40

Knowledge Hut

DECEMBER 27, 2023

Roles & Responsibilities Data analysis: Analyzing data to gain insights and make recommendations. Data preparation: Preparing data so that it can be used by other analysts and decision-makers. Data visualization: Visualizing data in a way that makes it easy to understand and use.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Netflix Tech

OCTOBER 18, 2019

As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides. they were able to reframe the problem as a straight-forward black-box optimization problem.

Algorithm 50

Algorithm Architecture Machine Learning Deep Learning 50

Netflix Tech

OCTOBER 18, 2019

As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides. they were able to reframe the problem as a straight-forward black-box optimization problem.

Algorithm 40

Algorithm Architecture Machine Learning Deep Learning 40

ProjectPro

OCTOBER 6, 2021

Source : Storage.googleapis.com This GCP project involves collecting different and real-time traffic data. This data is then analyzed and mined using business intelligence tools. On top of this dataset, a prediction model is built. Cloud DataPrep is a data preparation tool that is serverless. PREVIOUS NEXT <

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

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.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 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

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

Hospitality Datasets Algorithm Machine Learning 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 Algorithm 98

ProjectPro

FEBRUARY 5, 2021

Image classification , a subfield of computer vision helps in processing and classifying objects based on trained algorithms. Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. instead of handwritten digits.

Datasets 40

Datasets Deep Learning Medical Algorithm 40

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. The most advanced AI algorithms achieved the accuracy of almost 97 percent. Spoiler: we finally opted for public datasets.

Medical 72

Medical Healthcare Datasets Machine Learning 72

AltexSoft

JUNE 21, 2023

Machine learning employs sophisticated algorithms to anticipate future trends and accurately predict ADRs for hotels and vacation rentals. For example, at AltexSoft, our team developed two algorithms to support Rakuten Travel , Japan’s leading online booking platform that owns several hotels. Data shortage and poor quality.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

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

AltexSoft

NOVEMBER 15, 2022

Dataset preparation and construction. 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.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. 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

ProjectPro

JANUARY 31, 2023

Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data. It can be prevented in many ways, for instance, by choosing another algorithm, optimizing the hyperparameters, and changing the model architecture. Table of Contents What is Data Augmentation in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

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

Data Science Python Project Datasets 52

ProjectPro

AUGUST 30, 2022

Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects Univ.AI Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects Univ.AI Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects Univ.AI Which algorithm is best for Loan Prediction using Machine Learning?

Machine Learning 52

Machine Learning Coding Project 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 We should be able to read the signals customers are giving us to figure out what they want.

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

MAY 20, 2015

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Knowledge Hut

DECEMBER 7, 2023

Data Preprocessing: Prepare and clean the data. This may include handling missing values, outliers, and transforming the data into a format suitable for AI algorithms. Model Selection: Choose the appropriate AI algorithm or framework that aligns with the project's objectives.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

ProjectPro

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

DECEMBER 21, 2021

A label or a tag is a descriptive element that tells a model what an individual data piece is so it can learn by example. In this case, the training dataset will consist of multiple songs with labels showing genres like pop, jazz, rock, etc. So, what challenges does data labeling involve? Data labeling challenges.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

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

Knowledge Hut

DECEMBER 26, 2023

With the help of the company's "augmented analytics," you can ask natural-language inquiries and receive informative responses while also applying thoughtful data preparation. Some of the best features of oracle analytics cloud are augmented analytics, data discovery, and natural language processing.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

ProjectPro

DECEMBER 22, 2016

Data analysis involves data cleaning. Results of data mining are not always easy to interpret. Data analysts interpret the results and convey the to the stakeholders. Data mining algorithms automatically develop equations. Data analysts have to develop their own equations based on the hypothesis.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

JANUARY 31, 2023

MapReduce is a Hadoop framework used for processing large datasets. Another name for it is a programming model that enables us to process big datasets across computer clusters. This program allows for distributed data storage, simplifying complex processing and vast amounts of data. Explain the data preparation process.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

NOVEMBER 15, 2021

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. This features a familiar DataFrame API that connects with various machine learning algorithms to accelerate end-to-end pipelines without incurring the usual serialization overhead. Trino Source: trino.io

Big Data 52

Big Data Project Metadata Programming Language 52