Edureka

APRIL 16, 2025

GitHub Copilot Features AI-Powered Coding Assistant : Trained on a massive dataset of publicly available code, including GitHub repositories, it can generate functions, classes, and entire code blocks. Boosts Productivity : Helps write new code, refactor existing code, and auto-generates boilerplate, test cases, and even complex algorithms.

Programming Language 40

Programming Language Coding Programming Data Preparation 40

LinkedIn Engineering

DECEMBER 20, 2023

AutoML for content abuse detection at LinkedIn Figure 1: Demonstrating high-level steps of the AutoML framework While building content moderation classifiers to detect policy-violating content, we observed that the most significant performance improvements often didn't arise from radically different algorithms or groundbreaking innovations.

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

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

Knowledge Hut

JANUARY 29, 2024

On the other hand, data science is a technique that collects data from various resources for data preparation and modeling for extensive analysis. Cloud Computing provides storage, scalable compute, and network bandwidth to handle substantial data applications.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

phData: Data Engineering

JUNE 18, 2024

In this blog, we’ll explain why you should prepare your data before use in machine learning , how to clean and preprocess the data, and a few tips and tricks about data preparation. Why Prepare Data for Machine Learning Models? We need to format it to be suitable for machine learning algorithms.

Machine Learning 52

Machine Learning Algorithm Data Preparation Data Warehouse 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 Algorithm Datasets 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

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 82

Machine Learning Data Science Data Pipeline Raw Data 82

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

AltexSoft

JULY 8, 2021

Propensity models rely on machine learning algorithms. Machines get trained to anticipate what actions customers are likely to take next by finding patterns in past customer behavior data and use them when exposed to new data inputs. Collecting relevant data. Preparing data for modeling. Deploying a model.

Machine Learning 78

Machine Learning Algorithm Education Data Science 78

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.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Edureka

JULY 16, 2024

SageMaker, on the other hand, works well with other AWS services and provides a sound foundation to deal with large datasets and computations effectively. With possibilities like managed notebooks, integrated ML algorithms, and auto-tuning of your models.

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 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 Banking 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

RandomTrees

FEBRUARY 6, 2024

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data lakes, distributed computing, containerization, serverless computing, machine learning, graph database, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

MARCH 19, 2024

Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms. Data Preparation: The Machine Learning Engineer Software engineers get, clean, and process data so that it can be used in machine learning models.

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

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

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

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

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 Machine Learning Datasets Data 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

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

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

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

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

Edureka

JUNE 12, 2024

It supports various algorithms, such as supervised, unsupervised, and reinforcement learning, allowing users to create predictive models for tasks such as classification, regression, and clustering. Now, let’s walk through a typical workflow: You start by collecting data from various sources and storing it in Azure.

Machine Learning 52

Machine Learning Deep Learning Healthcare Finance 52

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

Data Science Data Architect Data Mining Programming Language 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 52

Algorithm Architecture Machine Learning Deep Learning 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

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 Structured Data 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

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

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 Relational Database AWS 52

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 Machine Learning Scala 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