Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 85

Machine Learning Algorithm Government Metadata 85

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. According to a database model, the organization of data is known as database design. Blogs KDnuggets: It is one of the compelling and regularly updated sites for blogs on analytics, Data Science, Big Data and machine learning.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Knowledge Hut

JUNE 25, 2024

Let’s study them further below: Machine learning : Tools for machine learning are algorithmic uses of artificial intelligence that enable systems to learn and advance without a lot of human input. Matplotlib : Contains Python skills for a wide range of data visualizations. This book is rated 4.16 Teaches Python crash course.

Data Science 97

Data Science Python Hadoop Machine Learning 97

Pinterest Engineering

OCTOBER 23, 2024

In this blog, we’ll be covering the challenges and corresponding solutions that enable us to migrate thousands of Spark applications from Monarch to Moka while maintaining resource efficiency and a high quality of service. At the time of writing this blog, we have migrated half of the Spark workload running on Monarch to Moka.

AWS 59

AWS Hadoop Management Algorithm 59

Cloudera

DECEMBER 14, 2020

CDP is the next generation big data solution that manages and secures the end-to-end data lifecycle – collecting, enriching, processing, analyzing, and predicting with their streaming data – to drive actionable insights and data-driven decision making. Why upgrade to CDP now?

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Process Kafka Government Big Data 71

Knowledge Hut

DECEMBER 27, 2023

Database Structures and Algorithms Different organizations use different data structures to store information in a database, and the algorithms help complete the task. Software developers play an important role in data collection and analysis to ensure the company's security.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Knowledge Hut

JUNE 4, 2024

Finally, data science can be used to develop better products. For example, entrepreneurs can identify opportunities for new features or products by analyzing customer data. Data science can also be used to develop better algorithms for existing products, such as recommender systems.

Data Science 52

Data Science Data Mining Media Recruitment 52

ProjectPro

NOVEMBER 11, 2022

In its initial years, Spotify used machine learning algorithms like collaborative filtering to recommend music to its subscribers. Collaborative Filtering It is a recommendation model that tries to estimate user preferences based on data collected from different users.

Machine Learning 52

Machine Learning Algorithm Metadata Python 52

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.

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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.

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Insurance Machine Learning Project Algorithm 75

phData: Data Engineering

JUNE 18, 2024

However, with data coming from so many different sources, it doesn’t always come in a format that’s easy for ML models to understand. 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.

Machine Learning 52

Machine Learning Algorithm Data Preparation Data Warehouse 52

Confluent

FEBRUARY 6, 2019

After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

DECEMBER 26, 2023

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. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Striim

SEPTEMBER 11, 2024

A well-designed data pipeline ensures that data is not only transferred from source to destination but also properly cleaned, enriched, and transformed to meet the specific needs of AI algorithms. Why are data pipelines important? Where does Striim Come into Play When Building Data Pipelines?

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Edureka

MARCH 26, 2025

The state-of-the-art neural networks that power generative AI are the subject of this blog, which delves into their effects on innovation and intelligent design’s potential. Algorithmic Trading: Predicting stock trends using historical data for automated trading strategies. What are neural networks?

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

Knowledge Hut

DECEMBER 21, 2023

The Internet of Things (IoT) is a network of physical objects like cars, appliances, and other household things that are equipped with connectivity, software, and sensors to collect and share data. In this blog, we will discuss the top 10 Internet of Things research topics and ideas for 2024.

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Coding Transportation Medical Retail 98

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

Cloudera

AUGUST 4, 2021

Data governance used to be considered a “nice to have” function within an enterprise, but it didn’t receive serious attention until the sheer volume of business and personal data started taking off with the introduction of smartphones in the mid-2000s. Companies indeed are taking notice.

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Data Governance Government Metadata Data Security 86

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 Data Engineering Data Engineer 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

DoorDash Engineering

OCTOBER 17, 2023

They subsequently adjust the experiment’s start date so that it does not include metric data collected prior to the bug fix. Internally, we apply a recursive algorithm to eliminate subsets of the data that contribute most to imbalance, similar to what an experimenter would do in the process of salvaging data from SRM.

Education 87

Education Kafka Algorithm Data Warehouse 87

RandomTrees

SEPTEMBER 10, 2024

AI algorithms analyze massive sensor-collected data from machines containing temperature, vibration, and pressure, among other operational parameters. Data Integration: The data is then fed into a central system, where it is processed and stored. AI algorithms can be used to access this data to start its analysis.

Transportation 59

Transportation Manufacturing Machine Learning Algorithm 59

RandomTrees

DECEMBER 12, 2023

Or maybe, how can we generate synthetic data to enhance computer vision? Synthetic data helps us better understand the object or scene getting observed. It’s also a prerequisite for building novel algorithms for computer vision systems, but this is just a general talk. Let’s find out more about synthetic data in detail.

Deep Learning 52

Deep Learning Datasets Healthcare Algorithm 52

Data Science Blog: Data Engineering

SEPTEMBER 18, 2020

We need the same kind of professionalism in dealing with data that has been achieved in the established branches of engineering. Data Management Develop the data management strategy, define policies on data lifecycle management, design the specific solution architecture, and validate the technical solution after implementation.

Data Science 52

Data Science Consulting Software Engineer Software Engineering 52

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. With a median base salary of $110,000, there is a significant demand for data scientists, and this trend is projected to continue.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

Data Engineering Weekly

FEBRUARY 19, 2023

The blog discusses fairness in ML and demonstrates why high accuracy doesn’t mean the algorithm is fair. link] Sponsored: [New Guide] The Ultimate Guide to Data Mesh Architecture If implementing data mesh is high on your list of priorities, you’re not alone.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Deep Learning Entertainment Healthcare 52

Knowledge Hut

MAY 9, 2024

According to Glassdoor, the average annual pay of a data scientist is USD 126,683. 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? They bridge the gap between data and software.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

JANUARY 23, 2024

It's like the hidden dance partner of algorithms and data, creating an awesome symphony known as "Math and Data Science." " So, get ready for a fun ride in this blog as we explore the fascinating world of math in data science. These concepts underpin many numerical algorithms used in data science.

Data Science 52

Data Science Algorithm Raw Data 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

Knowledge Hut

DECEMBER 26, 2023

Data science develops predictive models using sophisticated machine learning algorithms. The data used for analysis can come from various sources and be presented in various formats. Your profile simply serves as proof of your data science resume that you can back up your claims.

Data Science 52

Data Science Portfolio Recruitment Machine Learning 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.

Hospitality 52

Hospitality Algorithm Datasets Machine Learning 52

Netflix Tech

APRIL 26, 2022

To achieve this, we rely on Machine Learning (ML) algorithms. ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion?—?our The Iceberg table created by Keystone contains large blobs of unstructured data.

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Metadata Datasets Machine Learning Designing 78

Knowledge Hut

NOVEMBER 28, 2023

FiveThirtyEight American website FiveThirtyEight specializes in opinion poll analysis, politics, economics, and sports blogging in the country. Using algorithms and statistical models, Silver and other analysts make forecasts about politics, sports, the economy, and other topics. Link to Dataset How are Data Science Datasets Created?

Datasets 96

Datasets Data Science Project Machine Learning 96

Knowledge Hut

NOVEMBER 20, 2023

In this blog, I'll go into the interesting world of AI fraud detection, looking at how it works, its applications, benefits, and drawbacks. In essence, it's the use of AI anomaly detection algorithms, often covered in an Artificial Intelligence course for beginners , to analyze and identify suspicious activities or transactions.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

ProjectPro

JANUARY 31, 2023

However, collecting and annotating large amounts of data might not always be possible, and it is also expensive and time-consuming. Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data. Data Augmentation Techniques How to do Data Augmentation in Keras?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

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Big Data Data Cleanse Retail Healthcare 52