ProjectPro

AUGUST 25, 2021

This blog introduces the critical differences that one encounters when anyone performs an analysis of logistic regression vs linear regression. Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

Netflix Tech

JULY 21, 2022

Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. We will try to soon post results of our models on the dataset that we have created.

Machine Learning 71

Machine Learning Datasets Big Data Data Pipeline 71

Knowledge Hut

FEBRUARY 29, 2024

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. A database is a structured data collection that is stored and accessed electronically. Models introduce input data with unspecified useful outcomes.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. Data collection and interpretation when purchasing products and services can make a big difference.

Data Collection 110

Data Collection Algorithm Machine Learning Education 110

RandomTrees

APRIL 24, 2024

In the rapidly evolving world of artificial intelligence (AI) and machine learning (ML), Large Language Model Operations (LLMOps) is a term that is gaining significant traction. Components of LLMOps Data Collection and Preparation Model Development Prompt Engineering, RAG and Model Fine-tuning Model Deployment Observability RLHF 1.

Machine Learning 52

Machine Learning Datasets Data Collection Engineering 52

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. What are the biggest data-related challenges that you face (technically or organizationally)?

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Pinterest Engineering

SEPTEMBER 20, 2023

Machine Learning Engineer; Rohan Mahadev | Machine Learning Engineer II; Sujay Khandagale | Machine Learning Engineer II; Abhay Varmaraja | Machine Learning Engineer II Pinterest’s mission as a company is to bring everyone the inspiration to create a life they love. Pedro Silva | Sr.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Challenge.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Ripple Engineering

MARCH 30, 2023

Summary Managing the entire lifecycle of a machine learning (ML) model from inception to deployment in production can be a daunting task involving multiple systems and lots of moving parts. This blog outlines Ripple’s general design and approach for machine learning model lifecycle management using Databricks.

Machine Learning 98

Machine Learning AWS Metadata Data Collection 98

Databand.ai

JUNE 8, 2023

By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Raw Data Data Collection 52

WeCloudData

FEBRUARY 23, 2024

For those of you who read my last blog, I looked at how the data science job market had performed in 2023 – at least since August when the data collection began.

Data Science 52

Data Science Data Collection Data Machine Learning 52

DoorDash Engineering

APRIL 23, 2024

As our catalog expands, we seek new approaches driven by machine learning to auto-enrich SKU data. Extracting attribute-value information from unstructured data is formally known as named-entity recognition ; most recent approaches model the extraction task as a token classification.

Building 91

Building Retail Manufacturing Unstructured Data 91

Cloudera

NOVEMBER 19, 2020

In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors.

Government 117

Government Machine Learning Algorithm Raw Data 117

Knowledge Hut

DECEMBER 26, 2023

The field of study known as data science works with enormous amounts of data using cutting-edge tools and methods to reveal hidden patterns, extract valuable information, and make business decisions. Data science develops predictive models using sophisticated machine learning algorithms.

Data Science 52

Data Science Portfolio Recruitment Education 52

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. To make a long story short: this exciting approach enables you to more quickly utilize these data sources to help with your underwriting. Step two: expand machine learning and AI.

Insurance 99

Insurance Medical Machine Learning Data 99

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data Pipeline 116

Data Pipeline Building Manufacturing Data Warehouse 116

Knowledge Hut

JANUARY 24, 2024

Much like intrepid adventurers venturing into the vast unknown, data scientists embark on a journey through the intricate maze of data, driven by the quest to unearth hidden treasures of insight. A significant part of their role revolves around collecting, cleaning, and manipulating data, as raw data is seldom pristine.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

APRIL 23, 2024

So, BI empowers businesses to understand their respective customers, make data-driven decisions, and analyze market trends. So, let us explore the future of business intelligence further in this blog. Moreover, individuals can learn more about the future of BI by undertaking BI and Visualization Courses.

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science? They bridge the gap between data and software.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Data Engineering Weekly

FEBRUARY 19, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Join our webinar to learn how you can replace GA with analytics on your data cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Cloudera

MAY 4, 2022

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. But you’ll need efficient, intelligent systems such as the Cloudera Data Platform to execute the strategy. Faster decisions .

Insurance 129

Insurance Retail Finance Medical 129

Cloudera

DECEMBER 16, 2022

Cloudera’s platform enables teams to burst compute intensive machine learning workloads to the cloud. Notably, these same services simplify repatriating data workloads back to private clouds, to save on cloud infrastructure expenses. This helps our customers quickly implement an unified data fabric architecture.

Database 90

Database Cloud Systems Management 90

RandomTrees

DECEMBER 12, 2023

What Is Synthetic Data In Machine Learning And How To Generate It? Synthetic data relates to data generated through machine learning algorithms that mimic real-world patterns. Synthetic data can get used to assist computer vision in the following ways.

Datasets 52

Datasets Deep Learning Healthcare Algorithm 52

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. Regardless of whether it is in computing power, storage, databases, or machine learning, AWS allows us to use the services that are right for the use case. You can enroll in an Am azon AWS course to learn more about AWS. What is AWS?

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Databand.ai

JULY 10, 2023

Data analysis: Processing and studying the collected data to recognize patterns, trends, and irregularities that can aid in diagnosing issues or boosting performance. This enables seamless correlation between various data types and easier identification of root causes.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Aggregated Data 52

Knowledge Hut

NOVEMBER 28, 2023

In this article, we will look at 31 different places to find free datasets for data science projects. We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision.

Datasets 96

Datasets Data Science Project Banking 96

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. Infrastructure.

Data Governance 73

Data Governance Government Machine Learning Data Science 73

AltexSoft

SEPTEMBER 19, 2023

Social media and travel blogs contain valuable information about travelers’ experiences, recommendations, preferences, and popular upcoming events. For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Databand.ai

JULY 6, 2023

These anomalies can significantly impact data analysis, leading to incorrect or misleading insights. Unintentional anomalies are data points that deviate from the norm due to errors or noise in the data collection process. These anomalies can distort the dataset, making it challenging to derive accurate insights.

Datasets 52

Datasets Algorithm Machine Learning Data Analysis 52

Data Engineering Weekly

NOVEMBER 13, 2022

Vicki Boykis: How I learn machine learning Adopting a new skill is always challenging, but that is where we grow as a programmer. Innovation happens at the intersection of applying learning from one domain to another. I'm a software engineer; how can I transition to a Machine Learning engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 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. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Knowledge Hut

JUNE 20, 2023

In this blog post, we will introduce you to 10 current database research topic ideas that are likely to be at the forefront of the field in 2023. From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research.

Database 52

Database Java Education Data Collection 52

Cloudera

SEPTEMBER 4, 2020

Machine learning and AI are going to be critical for Communication Service Providers (CSPs)to succeed in the future as traditionally telcos have always been data-rich but insight poor. . The post The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3 appeared first on Cloudera Blog.

Machine Learning 93

Machine Learning Insurance Retail Government 93