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. Table of Contents What is Loan Prediction using Machine Learning?

Machine Learning 52

Machine Learning Coding Project Datasets 52

ProjectPro

DECEMBER 16, 2021

Are you a newbie in the data science domain ready to embark on a rewarding journey but are confused between the roles of a Machine Learning Engineer vs Data Scientist? Read this article to understand the significant differences and similarities between a machine learning engineer and a data scientist.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. 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. This leaves only 10 percent of the entire flow automated by ML models. MLOps cycle.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

AltexSoft

NOVEMBER 17, 2021

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. Machine learning classification with natural language processing (NLP). Model training.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

KDnuggets

JULY 20, 2022

14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet. (..)

Data Science 143

Data Science Data Preparation Algorithm Machine Learning 143

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. What is data labeling? Source: GitHub.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Which is easier to conceptually understand but also to use in machine learning. In the recent years dbt simplified and revolutionised the tooling to create data models. The machine learning is mainly in Python and uses PyTorch.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Which is easier to conceptually understand but also to use in machine learning. In the recent years dbt simplified and revolutionised the tooling to create data models. The machine learning is mainly in Python and uses PyTorch.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

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. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Knowledge Hut

FEBRUARY 29, 2024

Database design basics with example: blog.devart.com SQL learning: w3schools.com Start Machine Learning Machine learning is a part of artificial intelligence that concentrate on the utilization of data knowledge and algorithms to follow methods that human learns and moderately improves its accuracy.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

LinkedIn Engineering

DECEMBER 20, 2023

Automated Machine Learning (AutoML) refers to a framework or platform that automates the entire machine learning process. It was originally conceived as a way to democratize machine learning for non-ML specialists. What is AutoML? This adaptability is crucial in maintaining accuracy over time.

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

Scott Logic

APRIL 22, 2024

Model training with SageMaker Canvas One of the first steps in using AI to analyse your own data is to generate a model based upon it, and in AWS, this is done using Amazon SageMaker. In particular, with SageMaker Canvas, it’s possible to create a machine learning model entirely graphically. Have Amazon succeeded?

BI 97

BI Software Engineer Software Engineering Algorithm 97

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

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

ProjectPro

JANUARY 24, 2023

A survey by O’Reilly in 2020 found that Amazon Sagemaker is the second most used machine learning platform after Tensorflow. With over 100,000 active users globally, Amazon SageMaker has quickly become a go-to tool for companies looking to incorporate machine learning into their products or services.

Building 52

Building Algorithm Machine Learning AWS 52

AltexSoft

OCTOBER 30, 2021

As the complexity of tasks and the volume of data needed to process increased, data scientists started focusing more on helping businesses solve problems. Data scientists today are business-oriented analysts who know how to shape data into answers, often building complex machine learning models.

Data Engineering 98

Data Engineering Data Engineer Engineering Algorithm 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

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. Length of stay calculation for hospitals: how machine learning can enhance results. The built-in algorithm learns from every case, enhancing its results over time.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Snowflake

DECEMBER 18, 2023

Historically, only a few AI experts within an organization could develop insights using machine learning (ML) and predictive analytics. Yet in this new wave of AI, democratizing ML to more data teams is crucial—and for Snowflake SQL users, it’s now a reality.

SQL 83

SQL Retail Manufacturing Python 83

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. Through the article, we will learn what data scientists do, and how to transits to a data science career path.

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

Precisely

FEBRUARY 12, 2024

Here are some of the key trends and challenges facing telecommunications companies today: The growth of AI and machine learning: Telecom companies use artificial intelligence and machine learning (AI/ML) for predictive analytics and network troubleshooting. Finally, the one-off approach creates a delay.

Data Governance 64

Data Governance Government Telecommunication Machine Learning 64

The Modern Data Company

JANUARY 22, 2024

This involves delivering data integration solutions that facilitate faster access to trusted data across distributed landscapes. These features elevate the data integration process, leveraging extensive metadata, AI, and ML algorithms.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

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. Job Titles That Follow: Positions like Big Data Engineer, Data Architect, Data Scientist etc.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Develop machine learning pipelines using Azure Machine Learning service. Collaborate with data scientists to implement and optimize machine learning models. Machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 79

Machine Learning Data Science Data Pipeline Raw Data 79

AltexSoft

AUGUST 25, 2021

Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech. 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.

Process 139

Process Deep Learning Datasets Machine Learning 139

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It’s a study of Computer Algorithms, which helps self-improvement through experiences. Why Should You Pursue A Career In Artificial Intelligence?

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

APRIL 22, 2024

Anyone aspiring to be a data scientist, machine learning engineer, or software developer must have thought about learning Python. Python is a well-known, simple-to-learn programming language with a growing user base. Data science , machine learning, and game design are just a few of the fields where it is used.

Python 98

Python Programming Language Data Science Programming 98

Knowledge Hut

JUNE 16, 2023

In this blog, we'll explore the 10 best deep learning tools you should master in 2023 to stay ahead of the curve and make the most of this exciting technology. What Is Deep Learning? Deep learning is a branch of machine learning that involves training artificial neural networks with numerous layers to recognize patterns in data.

Deep Learning 52

Deep Learning BI Machine Learning Data Science 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 77

Engineering Raw Data Data Science Scala 77

AltexSoft

JUNE 14, 2021

This is possible because their machine learning model is retrained almost daily. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. You’ll need a data engineering team for that.

Insurance 88

Insurance Medical Machine Learning Algorithm 88

AltexSoft

MAY 12, 2021

And machine learning techniques hold the potential of speeding up tumor localization dramatically. Recent research demonstrates that machine learning models show better results in skin cancer classification than an average dermatologist. The most advanced AI algorithms achieved the accuracy of almost 97 percent.

Medical 72

Medical Healthcare Datasets Machine Learning 72

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. The results of both approaches were similar.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

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. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Striim

JULY 10, 2023

By LLM we of course mean Large Language Models, you know, where you get a human like response to a human like question from a machine. A world where the machines learn (ML) and get smarter at making predictions that help us. Sure, AI teaches itself from legacy and new data oceans. Or it’s pretty much that.

Medical 40

Medical Machine Learning Data Lake Algorithm 40

Edureka

JANUARY 23, 2023

The use of data by companies to understand business patterns and predict future occurrences has been on the rise. With the availability of new technologies like machine learning, it has become easy for experts to analyse vast quantities of information to find patterns that will help establishments make better decisions.

Data Mining 52

Data Mining Banking Retail Medical 52