AltexSoft

AUGUST 25, 2021

There are two main steps for preparing data for the machine to understand. Any ML project starts with data preparation. You can’t simply feed the system your whole dataset of emails and expect it to understand what you want from it. What should it be like and how to prepare a great one? Source: IBM.

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Cloudera

DECEMBER 17, 2020

While it’s important to have the in-house data science expertise and the ML experts on-hand to build and test models, the reality is that the actual data science work — and the machine learning models themselves — are only one part of the broader enterprise machine learning puzzle. Laurence Goasduff, Gartner.

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Scott Logic

MARCH 25, 2024

In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau. User Experience Power BI is a platform commonly used by Business Analysts ( read here ), but designed to be used by anyone. It supports up to a billion rows per dataset and tens of thousands of users.

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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!

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AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. The algorithm was specifically designed to assist a small family hotel that belongs to Rakuten properties in forecasting ADRs and making informed decisions regarding starting room prices. Data relevance. Public datasets.

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AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. Otherwise, let’s proceed to the first and most fundamental step in building AI-fueled computer vision tools — data preparation.

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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.

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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. The first stage, "Design," establishes the project's foundation by defining goals, gathering and pre­paring data, selecting appropriate AI mode­ls, and creating a feasible plan.

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Precisely

DECEMBER 4, 2023

They also need a strong foundation of data science to underpin those efforts. Many organizations get bogged down with data preparation, which can consume up to 80% of data science efforts. Collecting, organizing, and cleaning datasets consumes 45-60% of DS time.

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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. According to the 2020 U.S.

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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.

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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.

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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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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. Another potential downside of DistilBERT is that it requires some training data for new markets.

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Machine Learning Algorithm Deep Learning Architecture 72

Rockset

FEBRUARY 24, 2022

While this blog post won’t dive deeply into Kinesis’ capabilities, it’s worth quickly noting three: Kinesis Data Streams enable continuous capture of gigabytes of data per second from an enormous number of sources. Rockset You didn’t think you’d finish a Rockset blog post without hearing about Rockset, did you?

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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?

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AltexSoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” It points out the critical role that data quality plays in the outcomes you get from these algorithms. Watch our video about data preparation for ML tasks to learn more about this.

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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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ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. 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?

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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.

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ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. It will explain what an instance of the best-in-class answers would sound like.

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LinkedIn Engineering

DECEMBER 20, 2023

This blog post delves into the AutoML framework for LinkedIn’s content abuse detection platform and its role in improving and fortifying content moderation systems at LinkedIn. It enables models to stay updated by automatically retraining on incrementally larger and more recent data with a pre-defined periodicity.

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ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

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Cloudera

OCTOBER 11, 2021

Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Customers using Modak Nabu with CDP today have deployed Data Lakes and. Integrated security model .

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Data Engineering Data Engineer Cloud Engineering 90

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.

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Data Engineering Data Engineer Engineering Data Lake 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. It aims to deliver estimates of causal relationships from observational data, along with robustness checks, to end users. Figure 2 shows the high-level design of the Ocelot platform.��

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AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.

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