O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. 2] The Security of Machine Learning. [3] ML security audits.

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Machine Learning Modeling Testing Risk Management 187

Smart Data Collective

MARCH 25, 2020

Machine learning is changing the web hosting industry in countless ways. Many third-party hosting providers, such as Amazon Web Services have started utilizing machine learning in different capacities. More traditional hosting providers are also using machine learning in different capacities.

Machine Learning 91

Machine Learning Data Processing Measurement Business Intelligence 91

Smart Data Collective

NOVEMBER 18, 2020

You should learn what a big data career looks like , which involves knowing the differences between different data processes. Online courses and universities are offering a growing number of programs of study that center around the data science specialty. What is Data Science? Machine learning.

Data mining 143

Data mining Data Science Informatics Statistics 143

Business Over Broadway

MARCH 2, 2021

Results of a worldwide survey reveal that data professionals overwhelmingly use a personal computer or laptop as their computing platform most often for their data science projects. The next most used computing platform is a cloud computing platform and a deep learning workstation. Size of Datasets.

Data Science 93

Data Science Deep Learning Machine Learning Data Processing 93

Data Science 101

DECEMBER 6, 2019

Huge week of machine learning news from Amazon. This week Amazon hosted the large AWS re:Invent Conference. And there are…tons… of machine learning announcements from that event. Amazon SageMaker Studio A browser-based Integrated Development Environment (IDE) for machine learning.

Data Science 81

Data Science Machine Learning IoT Data Processing 81

Timo Elliott

JANUARY 10, 2022

I recently had the opportunity to sit down with Tom Raftery , host of the SAP Industry Insights Podcast (among others!) Let me ask you another question: what did you enjoy most about hosting these episodes? They are applying machine learning to create more intelligent trade claims management. Live and learn.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

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 104

Data Science Statistics Deep Learning Machine Learning 104

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

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Testing Machine Learning Consulting Data Quality 300

Analytics Vidhya

JANUARY 11, 2023

Introduction With regard to educating its community about data science, Analytics Vidhya has long been at the forefront. We periodically hold “DataHour” events to increase community interest in studying data science. Here is the knowledge session by Shanthababu Pandian […].

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Data Processing Data Science Analytics IT 247

Data Science 101

NOVEMBER 22, 2019

Here are this week’s news and announcements related to Cloud Data Science. Google Introduces Explainable AI Many industries require a level of interpretability for their machine learning models. Google is beginning to make single page “cards” for common machine learning tasks.

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Data Science Machine Learning Data Processing Modeling 99

Analytics Vidhya

MARCH 24, 2023

Introduction With the world of data science constantly evolving, it is important to stay up-to-date with the latest trends and techniques for aspiring and established professionals alike.

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Data Processing Data Science Interactive Analytics 234

Analytics Vidhya

JUNE 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Compute Engine Compute Engine is computing and hosting service that lets you create and run virtual machines on Google infrastructure.

Data Processing 341

Data Processing Data Science Publishing Analytics 341

Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

Machine Learning 88

Machine Learning Data Science Data-driven Data Processing 88

Analytics Vidhya

OCTOBER 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction Textual data from social media posts, customer feedback, and reviews are valuable resources for any business. There is a host of useful information in such unstructured data that we can discover.

Unstructured Data 225

Unstructured Data Data Processing Data Science Publishing 225

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins also indicated that data science, data engineering, and data analysis are different groups at The New York Times. Session Summary. Transcript. Feel free to email me.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. awsAccessKey=s3-spark-user/HOST@REALM.COM. import boto3. s3 = boto3.resource('s3',

Data Science 111

Data Science Forecasting Metadata Machine Learning 111

Cloudera

OCTOBER 25, 2023

That’s why Cloudera and AMD have partnered to host the Climate and Sustainability Hackathon. The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today.

Machine Learning 100

Machine Learning Forecasting Data-driven Manufacturing 100

CIO Business Intelligence

JANUARY 26, 2024

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

Machine Learning 94

Machine Learning Statistics Recreation/Entertainment Data Science 94

Domino Data Lab

APRIL 17, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Software Architecture” chapter from the book, Machine in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production.

Machine Learning 87

Machine Learning Software Cost-Benefit Interactive 87

Cloudera

MARCH 26, 2024

Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. Cloudera Machine Learning Public or Private Cloud.

Cost-Benefit 82

Cost-Benefit Machine Learning Enterprise Modeling 82

CIO Business Intelligence

MAY 20, 2022

The Machine Learning Department at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning. Carnegie Mellon University.

Machine Learning 141

Machine Learning Statistics Recreation/Entertainment Data Science 141

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Colaboratory, or “Colab” for short, are Jupyter Notebooks hosted by. The post 10 Colab Tips and Hacks for Efficient use of it appeared first on Analytics Vidhya.

IT 168

IT Data Processing Data Science Publishing 168

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

bridgei2i

JANUARY 25, 2022

The Basic Guide to Data Science at the Workplace. The Basic Guide to Data Science at the Workplace. In this podcast episode, AI enthusiasts Anirudh and Janci talk about how sincere curiosity and passion for learning can help anyone understand data science and become an active contributor. Transcript.

Data Science 52

Data Science Machine Learning Data-driven Statistics 52

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. 22-27, 2020.

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KDD Knowledge Discovery Data mining Statistics 81

Cloudera

OCTOBER 1, 2022

These companies face a unique set of data governance challenges regarding infrastructure and compliance on local, national, and international levels. Some organizations are choosing to confront these challenges with the help of tools like machine learning (ML) and artificial intelligence (AI) to automate, streamline, and scale compliance. .

Data Governance 73

Data Governance Strategy Enterprise Machine Learning 73

Smart Data Collective

MAY 31, 2022

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. A number of new applications are making machine learning technology more robust than ever.

Machine Learning 106

Machine Learning Cost-Benefit Data Processing Metrics 106

Insight

MARCH 29, 2019

Over the last three years, I’ve worked with more than 500 Insight Fellows , coaching them as they transition to thriving industry careers in data science, data engineering, and artificial intelligence. However, even as she enthusiastically interviewed for the role of VP and Head of Data Science at Dotdash?—?a

Data Science 73

Data Science Management ROI Data Processing 73

The Unofficial Google Data Science Blog

JULY 17, 2018

Often such decisions are the responsibility of a separate machine learning (ML) system. There are two sets of constraints that make crawl an interesting problem: Each host (a collection of web pages sharing a common URL prefix) imposes an implicit or explicit limit on the rate of crawls Google’s web crawler can request.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. Outlook, with Justin Leto, Big Data & AI: State of the Industry, Labor Trends and Future Outlook. Introduction.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

CIO Business Intelligence

FEBRUARY 20, 2024

It unifies all data on a single platform, including data integration, engineering, and warehousing, where it can be used for data science, real-time analytics, and business intelligence – and accessed with natural language queries and the power of generative AI.

Cost-Benefit 91

Cost-Benefit Data Lake Data Warehouse Data Integration 91

DataRobot

JULY 27, 2021

In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. Often, they are doing this with smaller teams in place than they need due to the shortage of data scientists.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. So, become data literate. AI and Marketing (slide): [link].

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

DataRobot Blog

MARCH 28, 2022

DataRobot provides a Machine Learning platform that allows data scientists and citizen data scientists to quickly and efficiently prepare, build and evaluate many competing models in order to identify the optimal algorithm to solve the use case. Learn more. AI Partners.

Cost-Benefit 52

Cost-Benefit Machine Learning Data Processing Optimization 52

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

Cloudera

DECEMBER 13, 2022

The attack targeted a host of public and private sector organizations (18,000 customers) including NASA, the Justice Department, and Homeland Security, and it is believed the attackers persisted on SolarWinds systems for 14 months prior to discovery. The world is awash in data. The benefits and challenges of ML operations.

Machine Learning 78

Machine Learning Experimentation Data Lake Data Processing 78

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. AI Platform Single-Tenant SaaS are fully managed by DataRobot and replace disparate machine learning tools, simplifying management.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59