Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 105

Data Science Statistics Deep Learning Machine Learning 105

CIO Business Intelligence

APRIL 25, 2024

For example, the aggregation of billing data, and the act of grouping tags to populate all the attributes that must be applied after data ingestion, can be burdensome on some cloud cost optimization tools, slowing down efforts to react to the spending data. “You

Management 117

Management Optimization Strategy Enterprise 117

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. What is CDSW?

Data Science 73

Data Science Machine Learning Experimentation Cost-Benefit 73

Rocket-Powered Data Science

JULY 6, 2021

This is accomplished through tags, annotations, and metadata (TAM). Contextual TAM includes semantic TAM, taxonomic indexing, and even usage-based tags (digital breadcrumbs of the users of specific pieces of content, including the key words and phrases that people used to describe the content in their own reports).

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

CIO Business Intelligence

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are data science teams set up for success? Establish MLOps, ModelOps, and infrastructure-monitoring capabilities.

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

Rocket-Powered Data Science

FEBRUARY 15, 2023

These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. Love thy data: data are never perfect, but all the data may produce value, though not immediately.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Analytics Vidhya

MAY 30, 2022

This article was published as a part of the Data Science Blogathon. In any Machine learning task, cleaning or preprocessing the data is as important as model building. Text data is one of the most unstructured forms of […].

Machine Learning 314

Machine Learning Data Science Publishing Modeling 314

Smart Data Collective

APRIL 5, 2022

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

bridgei2i

MAY 11, 2020

Catalysing Digital CX using Data Science Capabilities in the Post COVID World. For faster issue resolution, team members can scan through the existing knowledge base but this has a few disadvantages: Inefficient search in the current systems as the search algorithms and tags are not updated. Author: Nishant Khanna.

Data Science 52

Data Science Interactive Enterprise Strategy 52

Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. What do we mean by content aware knowledge graphs?

Enterprise 59

Enterprise Management Metadata Modeling 59

Insight

MARCH 12, 2020

With breaking this bottleneck in mind, I’ve used my time as an Insight Data Science Fellow to build the AIgent, a web-based neural net to connect writers to representation. Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. for example genre tags, ratings, and sales.

Modeling 59

Modeling Metadata Publishing Sales 59

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Testing 76

Testing Data Processing Visualization Data Science 76

Data Science 101

JANUARY 17, 2024

Rocketbook Everyday Planner Features Here is a list of some of the features of the Rocketbook Everyday Planner.

IT 59

IT 59

Andrew White

JANUARY 9, 2020

Examples are given: one is a Chinese firm who apparently has 300,000 staff tagging data every minute of every day – to feed into its ML technologies to drive more effective AI solutions. But then I remembered synthetic data. Such numbers are pretty scary.

Machine Learning 59

Machine Learning Data Science Technology IT 59

Smart Data Collective

OCTOBER 7, 2023

Marco Cerliani has a great article in Towards Data Science on the benefits of AI in the people tracing field. Not only do people share their personal milestones and daily snippets here, but they also check in at various places, tag friends, and announce plans.

Technology 95

Technology Snapshot Data-driven Machine Learning 95

Smart Data Collective

FEBRUARY 15, 2022

As a result, they can index countless web pages that don’t have the “nocrawl” attribute in their meta tags. Towards Data Science has an article dedicated to this topic. “So, These programs use algorithms to send web crawlers across the Internet. So, how do we guard against plagiarism?

Machine Learning 116

Machine Learning Deep Learning Software Technology 116

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Part-of-speech (POS) tagging: POS tagging facilitates semantic analysis by assigning grammatical tags to words (e.g., What is text mining? noun, verb, adjective, etc.),

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. It uses complex data analytics features.

Data mining 134

Data mining Big Data Data-driven Data Science 134

Jen Stirrup

APRIL 29, 2020

When I tried to pull down an image from Docker Hub, I got the following error which basically states ‘no matching manifest for windows/amd64 10.0.18362 in the manifest list entries’ Using default tag: latest latest: no matching manifest for windows/amd64 10.0.18362 in the manifest list entries.

IT 70

IT Data Science 70

Insight

NOVEMBER 14, 2019

Part of Speech (POS) Tagging After LDA, I decided to tag the part of speech (POS) for each reflection and extract the verbs. I parsed the reflection and extracted all of the verbs used in the reflections via POS tagging. Shahrzad Hosseini developed Reflectometer during her time as an Insight Data Science Fellow in 2019.

Testing 54

Testing Modeling Strategy Interactive 54

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University. Conclusion.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

Data Science 101

AUGUST 27, 2023

So, first thing for someone starting out: go to GitHub and find some projects that use the “good first issue” tag on some of their issues. What are a few resources you would recommend to someone looking to get into a development career? These can be Websites? Use the GitHub documentation to learn how to use Git and GitHub.

Software 98

Software Enterprise IT 98

Cloudera

AUGUST 18, 2021

If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming. It makes more sense to analyze and derive insights from it, and then place it in the data lake — properly tagged for easy access later. Data source diversity also must be addressed because it, too, adds complexity.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

O'Reilly on Data

MARCH 7, 2019

Not only will named entity recognition or entity resolution models fail, but even basic tasks such as tokenization , part of speech tagging , and sentence segmentation will fail for the majority of sentences. Health care-specific part-of-speech tagging.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

Rocket-Powered Data Science

MARCH 10, 2020

The training data and feature sets that feed machine learning algorithms can now be immensely enriched with tags, labels, annotations, and metadata that were inferred and/or provided naturally through the transformation of your repository of data into a graph of data.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Smart Data Collective

MARCH 23, 2022

Evan Morris of Towards Data Science discussed this in one of his recent articles. AI tools can crawl websites and inspect images to make sure they all contain alt tags for people that can’t view the images. AI technology has made it easier to conform to ADA standards. Morris points out that AI helps with automated testing.

Cost-Benefit 103

Cost-Benefit Data mining Sales Testing 103

Cloudera

DECEMBER 21, 2020

He seeks to quickly discover and learn about available data sets. The data is tagged as sensitive data, e.g. “financial”, and the owner field showing “retail banking” instantly informs Shaun which organization to reach out to to ask for access.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Ontotext

DECEMBER 15, 2023

Consider the category tree of Artificial Intelligence : it shows the first level and allows you to expand; for each category it shows the number of sub-categories (C) and articles (P).

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

bridgei2i

FEBRUARY 6, 2020

Digital Enterprise” is not a tag that companies can attach to themselves based on a few initiatives they undertake. Data science experts and technologists are aiming for Artificial General Intelligence or AGI which is essentially a machine that can successfully and intellectually perform any task that a human is capable of!

IoT 69

IoT Internet of Things Digital Transformation ROI 69

Cloudera

SEPTEMBER 28, 2020

The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights. on roadmap).

Testing 131

Testing Metadata Risk Data Science 131

AWS Big Data

MAY 4, 2023

The amount of data and the number of power plants they need to collect data are rapidly increasing over time. For example, the volume of data required for training one of the ML models is more than 200 TB. northeast-2.amazonaws.com ap-northeast-2.amazonaws.com/hello-world:latest ap-northeast-2.amazonaws.com/hello-world:latest

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Octopai

OCTOBER 5, 2021

An automated solution can collect, analyze, and organize – and then build or populate the data catalog by itself. Manual work is restricted to reviewing and enriching the catalog entries with missing descriptions, ratings, data owners, tags, etc. that have yet to be documented in any of the BI tools.

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

Insight

AUGUST 20, 2019

and have used it to build an ingestion platform for collecting data for autonomous driving and a real time app suggesting tags for your next StackOverflow post. Our Fellows love Kafka for its performance and ease of use?—?and ElasticSearch ElasticSearch is a popular distributed search engine built on top of Apache Lucene.

Data Warehouse 71

Data Warehouse Big Data Data-driven Data Processing 71

Smart Data Collective

FEBRUARY 3, 2022

If you are a Data Scientist or Big Data Engineer, you probably find the Data Science environment configuration painful. If this is your case, you should consider using Docker for your day-to-day Data tasks. In this post, we will see how Docker can create a meaningful impact in your Data Science project.

Data Science 121

Data Science Data Processing Testing Big Data 121

Cloudera

SEPTEMBER 17, 2018

Once you found your datasets of interest, there are easy ways to tag them, so that you at next visit can find them immediately – the search functionality also covers tags! The post A new era of SQL-development, fueled by a modern data warehouse appeared first on Cloudera Blog. Query Design.

Data Warehouse 53

Data Warehouse Optimization Visualization Unstructured Data 53

IBM Big Data Hub

MAY 9, 2022

As discussed in the previous section data virtualization and data cataloging help get the right data to the right people by making it easier to find the data that best fits their needs and access it. Automated metadata generation is essential in order to turn a manual process into one that is better controlled.

Management 57

Management Data Quality Metadata Data Integration 57