Remove 2022 Remove Data Quality Remove Data Science Remove Modeling
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KDnuggets News March 16, 2022: Learn Data Science Fundamentals & 5 Steps to Become a Data Scientist

KDnuggets

How Long Does It Take to Learn Data Science Fundamentals?; Become a Data Science Professional in Five Steps; New Ways of Sharing Code Blocks for Data Scientists; Machine Learning Algorithms for Classification; The Significance of Data Quality in Making a Successful Machine Learning Model.

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How to Use a Data Lineage Tool to Ensure Data Quality

Octopai

If you’re a conscientious data scientist, you’re going to clean up your data before using it to make models, predictions and recommendations. In the past, it’s been estimated that data scientists spend somewhere between 30% and 80% of their time just prepping and cleaning data. Data Supervision. Not really.

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Decoding Salesforce’s plausible $11 billion bid to acquire Informatica

CIO Business Intelligence

billion in 2022. Informatica, according to Park, offers a broader set of tools than Mulesoft, especially in the areas of data quality, data security, and a variety of master data management offerings. MuleSoft, acquired by Salesforce in 2018 for $5.7

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15 Best Data Analysis Tools You Can’t Miss in 2022

FineReport

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. Python enjoys strong portability. RapidMiner.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. Best for : the new intern who has no idea what data science even means.

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