Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Common processes are: Collect raw data and store it on a server.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

ProjectPro

DECEMBER 16, 2021

To define the role of a Machine Learning Engineer , they are the professionals who go one step ahead to push or integrate the machine learning model into a system and bring it into an existing production environment. An essential skill for both the job roles is familiarity with various machine learning and deep learning algorithms.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Table of Contents What is Data Augmentation in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

AltexSoft

FEBRUARY 21, 2023

For machine learning algorithms to predict prices accurately, people who do the data preparation must consider these factors and gather all this information to train the model. Data collection and preprocessing As with any machine learning task, it all starts with high-quality data that should be enough for training a model.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

U-Next

SEPTEMBER 22, 2022

There are two types of predictive algorithms available: those that use machine learning or those that use deep learning. Data that is structured, such as spreadsheets or machine data, is used in machine learning (ML). Approximately 80% of a data scientist’s time is spent on this step.

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

AltexSoft

NOVEMBER 15, 2022

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. As of now, we’ll focus on such steps as finding the right data and constructing the dataset to build an ML-powered occupancy rate prediction module.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 24, 2021

Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. They rely on Data Scientists who use machine learning and deep learning algorithms on their datasets to improve such decisions, and data scientists have to count on Big Data Tools when the dataset is huge.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

OCTOBER 20, 2021

Data Science has taken off in the technology space, the job title data scientist even being crowned as the Sexiest Job of the 21 st Century. Let's understand where Data Science belongs in the space of Artificial Intelligence. 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

AltexSoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. How data labeling works. Data collection.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

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. There are open data platforms in several regions (like data.gov in the U.S.).

Big Data 52

Big Data Coding Project Hadoop 52