Knowledge Hut

JANUARY 25, 2024

In the world of data science, keeping our data clean is a bit like keeping our rooms tidy. Just as a messy room can make it hard to find things, messy data can make it tough to get valuable insights. That's why data cleaning techniques and best practices are super important. Why Is Data Cleaning So Important?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Cloudera

JANUARY 30, 2024

Without a thorough grounding with trusted data and a robust data platform, AI/ML approaches will be biased and untrusted, and more likely to fail. Simply put, many organizations fail to realize the value of AI because they rely on AI tools and data science that is being applied to data which is faulty to begin with.

Manufacturing 79

Manufacturing Data Lake Data Science Cloud 79

Cloudera

OCTOBER 4, 2023

Containerized service to run both multiple compute clusters against the same data, and to configure each cluster with its own unique characteristics (instance types, initial and growth sizing parameters, and workload aware auto scaling capabilities). appeared first on Cloudera Blog. The post Don’t Blink: You’ll Miss Something Amazing!

Telecommunication 86

Telecommunication Data Warehouse Java Manufacturing 86

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 79

Engineering Raw Data Data Science Scala 79

Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

APRIL 10, 2021

CPUs and GPUs can be used in tandem for data engineering and data science workloads. A typical machine learning workflow involves data preparation, model training, model scoring, and model fitting. Practitioners can use existing general-purpose CPUs, or they can accelerate the workflow end-to-end with GPUs.

Machine Learning 62

Machine Learning Data Science Deep Learning Utilities 62

Cloudera

DECEMBER 17, 2020

When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves. The post Enabling The Full ML Lifecycle For Scaling AI Use Cases appeared first on Cloudera Blog.

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Machine Learning Data Science Data Pipeline Raw Data 80

Knowledge Hut

NOVEMBER 19, 2023

In this blog, we will explore the career paths of Artificial intelligence and what skills are most important to consider while taking this journey. Algorithms, data preparation and model evaluations. Such roles help in solving complex problems, building predictive models, and making data-driven decisions.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

JUNE 16, 2023

You can enroll in a Data Science Certified course to learn in depth about these tools. 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. You can also network with other data scientists and researchers.

Deep Learning 52

Deep Learning BI Machine Learning Data Science 52

Snowflake

JUNE 28, 2023

Snowpark is our secure deployment and processing of non-SQL code, consisting of two layers: Familiar Client Side Libraries – Snowpark brings deeply integrated, DataFrame-style programming and OSS compatible APIs to the languages data practitioners like to use.

Python 52

Python Accessible Accessibility Pipeline-centric 52

LinkedIn Engineering

DECEMBER 13, 2022

In this blog post, we share more details on how LinkedIn performs observational causal inference at scale using our Ocelot platform. We chose to bundle the functionality of data preparation with the causal modeling for the following reasons.�� We fine tuned Spark jobs to reduce the data preparation time and failure rate.

Data Preparation 55

Data Preparation Data Science Designing Data Pipeline 55

DataKitchen

FEBRUARY 21, 2023

Make Trusted Data Products with Reusable Modules : “Many organizations are operating monolithic data systems and processes that massively slow their data delivery time.” His team is already on Azure and uses ADF, Synapse, PowerBi, and several powerful Azure Data Science tools. A better ETL tool?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Snowflake

MARCH 28, 2023

To keep pace with competition and capture the vast potential of sensor data, manufacturers small and large are looking to modernize their legacy data management infrastructure and processes, as well as scale their data science teams. To learn more about ingesting data into Snowflake, see this previous blog.

Manufacturing 52

Manufacturing Entertainment Transportation Insurance 52

Knowledge Hut

DECEMBER 7, 2023

In this blog, I'll define the AI project life cycle and walk you through the steps, tools, and significance of the AI model lifecycle management process. Here are some key tools and their roles in AI model lifecycle management: Jupyter Notebook: Jupyter Notebook is an interactive tool that's widely used by data scientists and AI developers.

Machine Learning 52

Machine Learning Algorithm Medical Government 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. Bid goodbye to worries related to such problems with this blog, as it covers an appropriate and effective solution to the problem of limited data available for training machine learning and deep learning models.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Scott Logic

MARCH 25, 2024

In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau. There is a preferred workflow to guide a user through the steps of data preparation, analysis and visualisation but this workflow is not mandatory. An experienced user is free to work in whatever fashion suits them.

BI 52

BI Business Intelligence Cloud AWS 52

AltexSoft

AUGUST 25, 2021

There are two main steps for preparing data for the machine to understand. Any ML project starts with data preparation. People are doing NLP projects all the time and they’re publishing their results in papers and blogs. If you’re new to data science, you want to look into the second option.

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Process Deep Learning Datasets Machine Learning 139

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? Let us take a look at the unique features of Snowflake that make it better than other data warehousing platforms.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Knowledge Hut

JANUARY 24, 2024

If you are an expert in working with data or a beginner excited to use visualization, this blog will help you understand the differences between power bi and tableau. You should be data-driven if you want to pursue your career in Business Intelligence, Analytics, or Data Science.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Databand.ai

NOVEMBER 30, 2022

The Ravit Show Q&A: How More Data Observability Leads to Better Governance Ryan Yackel 2022-11-30 10:18:32 We recently had the opportunity to join an episode of The Ravit Show , a community for data science and AI professionals to upskill, grow, share, and learn from each other.

Government 52

Government Data Governance Architecture Google Cloud 52

RandomTrees

FEBRUARY 6, 2024

Investigating the contribution of Gen AI to data integration and management Smart data integration : It automatically identifies data relationships, maps schemas, and harmonizes data formats, enabling organizations to establish a unified data view.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

APRIL 25, 2023

Power BI Power BI is a cloud-based business analytics service that allows data engineers to visualize and analyze data from different sources. It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Zalando Engineering

JUNE 9, 2022

The ROI pipeline is a batch based data- and machine learning pipeline powered by Databricks Spark and orchestrated by Apache Airflow. Examples for said components are our input data preparation, marketing attribution model or an incremental profit forecast for our campaigns.

Database 52

Database Coding Python AWS 52

Picnic Engineering

MAY 23, 2023

At Picnic, we understand the importance of efficient and accurate customer service, which is why we’ve turned to natural language processing techniques to automate the classification of customer feedback as you can read in this and this blog post.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Start working on them today!

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

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?

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Datasets Machine Learning Retail Banking 40

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry! Where to find good industry-level projects?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

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AWS Scala Metadata Data Lake 98

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. It will provide you with a good sense of what areas you should focus on as you prepare for your next Azure interview. Table of Contents Why Must You Prepare For Azure Interview Questions? So, let's dive right into it!

BI 52

BI Cloud Computing SQL Database 52

Precisely

DECEMBER 4, 2023

For example, location-based insights can be delivered through web GIS (geographic information systems) applications or data science models. They also need a strong foundation of data science to underpin those efforts. Where should you invest to maximize your return on your infrastructure dollars?

Telecommunication 64

Telecommunication Data Science Data Integration Data Preparation 64

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. 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.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Cloudera

OCTOBER 17, 2017

In this blog, we provide a few examples that show how organizations put deep learning to work. Next, we introduce you to Cloudera’s unified platform for data and machine learning and show you four ways to implement deep learning. Cloudera Data Science Workbench. Figure 4: Cloudera Data Science Workbench.

Deep Learning 47

Deep Learning Scala Medical Data Science 47

U-Next

JUNE 29, 2022

However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. In this blog, we’ll go over elements of big data , the big data environment as a whole, big data infrastructures, and some valuable tools for getting it all done.

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Big Data Big Data Ecosystem Data Lake Raw Data 40