dbt Developer Hub

JUNE 12, 2023

Introduction ​ Most data modeling approaches for customer segmentation are based on a wide table with user attributes. Take for example a Customer Experience (CX) team that uses Salesforce as a CRM. This is a good first approach, but not a data driven one.

Building 59

Building ETL Tools Data Warehouse Machine Learning 59

Knowledge Hut

JANUARY 29, 2024

It is impossible to escape from technology in today’s modern world. Technology is prone to expeditious growth that consists of ways that can highly impact the business industry. Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

Knowledge Hut

JANUARY 11, 2024

I’ve observed that ever since data science techniques and approaches, including data science for finance, have made their way into different industrial domains, the growth has been tremendous. Data Science has brought a revolutionary change in the way different industries work. What Is Data Science?

Finance 93

Finance Data Science Programming Language Machine Learning 93

Knowledge Hut

MAY 31, 2023

AI projects have gained significant traction across multiple sectors, including healthcare, finance, transportation, and retail, due to their potential to revolutionize business operations, improve productivity, reduce costs, and enhance customer service. In this article, we will talk about artificial intelligence topics for the project.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JANUARY 18, 2024

It enables companies to focus on creating business strategies and plans which are based on thorough data analysis on customer behavior, market trends, and competition. I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Data Engineering Podcast

FEBRUARY 13, 2022

When that data pertains to your customers it can become even more complex. Now all the data users can use software engineering best practices – git, tests and continuous deployment with a simple to use visual designer. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own.

Building 100

Building Hadoop Data Pipeline Metadata 100

ProjectPro

JANUARY 31, 2023

Read this blog to learn more about how the insurance industry benefits from implementing AI and ML solutions, which highlights the most practical applications and real-world use cases of machine learning in insurance and how it brings a new level of precision and effciency to the industry.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Knowledge Hut

MARCH 29, 2024

As a company, Amazon gives a lot of importance to its employees’ growth. When we studied an article published by The Pragmatic Engineer , it revealed that the company employs approximately 70,000 new people for tech roles across the globe each year. Who is a Software Engineer?

Software Engineer 52

Software Engineer Software Engineering Engineering Recruitment 52

Knowledge Hut

JANUARY 11, 2024

I recommend checking out Data Science With Python course syllabus to start your data science journey. Examples of Data Science Case Studies Hospitality: Airbnb focuses on growth by analyzing customer voice using data science. For this purpose, a data enthusiast needs to stay updated with the latest technological advancements in AI.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

MAY 23, 2024

According to some research, the market demand for data science is increasing every day as companies are opening new doors through data-driven approaches. If you go for a data science with python certification , you will be trained on all the current data science tools. Each of these tools comes with a set of some of these usages.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

Towards Data Science

FEBRUARY 9, 2024

Ideal for those new to data systems or language model applications, this project is structured into two segments: This initial article guides you through constructing a data pipeline utilizing Kafka for streaming, Airflow for orchestration, Spark for data transformation, and PostgreSQL for storage. Overview of the data pipeline.

Kafka 75

Kafka Data Engineering Data Engineer PostgreSQL 75

ProjectPro

NOVEMBER 11, 2021

Learn Python for Computer Vision 2. Are you willing to learn computer vision but cannot find the perfect guide to start your learning? If yes, then here’s a blog that will help you attain your goal in the easiest way possible! Read this blog until the end to learn how you can learn computer vision from scratch as a beginner.

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52

Monte Carlo

AUGUST 15, 2023

As a result, these data teams need to carefully consider what data to pull and how to transform it into its final state often via a pipeline hardcoded in Python. Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. IMAGE COURTESY OF SHANE MURRAY. Let’s dive in.

Data Storage 88

Data Storage Cloud Metadata Media 88

ProjectPro

JANUARY 20, 2022

It finds insights in data using approaches from neural networks, statistics, operations research, etc., “Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” ” -a Wall Street journal excerpt by Thomas H. Davenport, Analytics thought leader.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

Rockset

OCTOBER 11, 2022

In this blog, we’ll compare and contrast how Elasticsearch and Rockset handle data ingestion as well as provide practical techniques for using these systems for real-time analytics. This ingestion approach works well for inserts and updates but additional considerations are needed for deletions.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Towards Data Science

AUGUST 15, 2023

As a result, these data teams need to carefully consider what data to pull and how to transform it into its final state often via a pipeline hardcoded in Python. The modern data stacks allow you to do things differently, not just at a larger scale. Take advantage of it. Image courtesy of Shane Murray and the author. Let’s dive in.

Cloud 83

Cloud Metadata Media Machine Learning 83

Monte Carlo

NOVEMBER 21, 2022

Each year, we chat with one of our industry’s pioneering leaders about their predictions for the modern data stack – and share a few of our own. A few weeks ago, I had the opportunity to chat with famed venture capitalist, prolific blogger , and friend Tomasz Tunguz about his top 9 data engineering predictions for 2023.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

DareData

NOVEMBER 28, 2023

These practices and methodologies are commonly known as MLOps, short for Machine Learning Operations and they bridge the gap between data science and software engineering, ensuring the pillars of experimentation: reproducibility, performance, scalability and monitorization.

Data Science 52

Data Science Medical Machine Learning Data 52

Knowledge Hut

JANUARY 2, 2024

In today's digital age, having a strong online presence is critical for businesses to attract and retain customers. Customers are increasingly using the internet to research products and services before making purchases, emphasizing the importance of online presence for businesses. So, without further ado, let's begin!

Media 52

Media Designing Accessible Accessibility 52

ProjectPro

OCTOBER 8, 2021

There are machine learning projects for almost every retail use case - right from inventory management to customer satisfaction. Machine learning projects in retail directly convert into profits and increase an organization’s market share with better customer acquisition and satisfaction.

Retail 52

Retail Machine Learning Project Datasets 52

Knowledge Hut

APRIL 19, 2023

Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. In order to determine the most popular goods, average order value, or repeat purchase rate, for instance, customer purchase data may be aggregated. What is Data Aggregation?

Process 59

Process Data Mining Aggregated Data Portfolio 59

Monte Carlo

AUGUST 15, 2023

As a result, these data teams need to carefully consider what data to pull and how to transform it into its final state often via a pipeline hardcoded in Python. Imagine you’ve been building houses with a hammer and nails for most of your career, and I gave you a nail gun. Image courtesy of Shane Murray. Let’s dive in.

Cloud 69

Cloud Metadata Media Machine Learning 69

ProjectPro

AUGUST 28, 2021

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. You will have a strong foundation in machine learning and its ways by practicing all these machine learning projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume.

Portfolio 52

Portfolio Project Datasets Algorithm 52

ProjectPro

OCTOBER 27, 2021

The banking and finance industry generates enormous amounts of data related to transactions, billing, and payments from customers, which can provide accurate insights and predictions to be fed to machine learning models. Wondering how to implement machine learning in finance effectively and gain valuable insights?

Finance 52

Finance Machine Learning Project Banking 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science? What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

Knowledge Hut

APRIL 20, 2023

In today's digital age, having a strong online presence is critical for businesses to attract and retain customers. Customers are increasingly using the internet to research products and services before making purchases, emphasizing the importance of online presence for businesses. So, without further ado, let's begin!

Media 52

Media Designing Accessible Accessibility 52

ProjectPro

JANUARY 22, 2022

BART Architecture Explained BART Model for Text Summarization Machine Learning Project Ideas for Practice using BART Speech-to-Text or Automatic Speech Recognition (ASR) Extractive Summarization of Scholarly Articles Generating SQL queries from Natural Text What is the BART HuggingFace Transformer Model in NLP? What is BART Model used for?

Datasets 52

Datasets BI Architecture SQL 52

Data Engineering Weekly

MAY 8, 2023

Unfortunately, this approach results in unstructured data that is difficult to work with. You’ll also see how Pathway, a Python framework for streaming data, can do real-time fuzzy joins. Put yourself in the shoes of an IT department employee working for a large company. In both cases, it will be tedious and very frustrating.

Process 52

Process Banking Raw Data Finance 52

ProjectPro

JUNE 26, 2021

AR and MR are redefining the customer experiences and journey.” Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data. billion in 2024.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

JUNE 22, 2021

You now approach the wall hook to grab your belt, but alas! So, without much ado, let's dive in. Imagine that the pandemic is over and today is a weekday. All the schools, colleges, and offices are open, and you should reach your institution by 8 A.M. You set the alarm last night and managed to wake up at 6 A.M. We all have been through this.

Machine Learning 72

Machine Learning Algorithm Datasets Project 72

Monte Carlo

MARCH 10, 2022

Monte Carlo’s Barr Moses sat down with Snowflake Director of Product Management Chris Child to talk about building data platforms at scale, how awesome data teams approach data quality, the role of data observability tools in the modern data stack, and more. We support Python and Scala now. Enjoy the glimpse into the future.

Engineering 52

Engineering Management Raw Data Scala 52

ProjectPro

OCTOBER 18, 2021

Every final year student interested in pursuing a career in data science or machine learning must work on a hands-on project to experience a practical approach to how machine learning models are implemented and deployed in production. It is because these apps render machine learning models that try to understand the customer's taste.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JULY 23, 2021

With over 1 million active enterprise customers, 8K AWS partner network members,1900+ third-party software products, and over 70 million hours spent on the Amazon Marketplace monthly by its customers - AWS is a name to reckon with in the cloud computing industry. Customer Logic Workflow 8. Custom Alexa Skills 12.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. How do you practice Power BI? Where can I get practice data for Power BI? Customized Dashboards: The information dashboard can be tailored to meet the demands of a company. billion by 2025 , according to a GlobalNewswire report. How To Do Visualization in a Power BI Project? What is Power BI?

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

DECEMBER 17, 2021

Beginners can use such challenges to realise how industries implement data science to solve practical problems while professionals can work on such challenges to upskill. Challenges make us all uncomfortable but none of us can deny that difficult challenges only help us bring out the stronger and better version of ourselves.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

FEBRUARY 18, 2022

15 ETL Projects Ideas For Big Data Professionals ETL Projects for Beginners Intermediate ETL Project Ideas for Practice Advanced ETL Projects for Experienced Professionals ETL Projects in Healthcare Domain ETL Projects in Banking Domain FAQs What is ETL example? The big data analytics market is expected to grow at a CAGR of 13.2

Project 52

Project AWS Kafka Healthcare 52