O'Reilly on Data

MARCH 19, 2020

Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. PyTorch looks like a contender: it posted triple-digit growth in usage share rates in both 2018 and 2019. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019.

Deep Learning 274

Deep Learning Machine Learning Data-driven Modeling 274

The Data Visualisation Catalogue

JANUARY 30, 2019

While researching on the Buzz Surrounding VR Data Visualization , I found the most common claim being made was that VR allows for more “Natural” interactions with the data. For long, we have relied on mice and keyboards to facilitate this sense of interactivity. But what happens in a digital world?

Interactive 67

Interactive Visualization Big Data Technology 67

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. We rely on cloud-scale technologies and proprietary data science and analytics engines built on open standards to handle massive data sets,” says Mohammed.

Digital Transformation 116

Digital Transformation Dashboards Reporting Data Science 116

Data Virtualization

AUGUST 3, 2023

Reading Time: 2 minutes Open banking has promised a revolutionary transformation in the financial sector, aiming to empower consumers with greater control over their financial data. Introduced in the UK in 2018, open banking has the potential to reshape the way individuals interact with.

Interactive 52

Interactive Data Integration Management Big Data 52

CIO Business Intelligence

APRIL 15, 2022

But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference. CNN reported that Zillow bought 27,000 homes through Zillow Offers since its launch in April 2018 but sold only 17,000 through the end of September 2021.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. The approach they’ve used applies to other popular data science APIs such as NumPy , Tensorflow , and so on.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. With all the hype around AI, it can be tempting to jump into use cases involving data types with which you aren’t familiar. Source: O'Reilly.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Smarten

JUNE 15, 2022

The reason they can do this is simple: the tools provided for this purpose are designed for human interaction. Ask a question about a point in time without the need for specific dates: How many silk blouses were sold during Christmas season in 2016 vs. 2018? They know how to search for something on Google and get the results they need.

Analytics 52

Analytics ROI Data-driven Sales 52

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Smart Data Collective

MARCH 23, 2022

Evan Morris of Towards Data Science discussed this in one of his recent articles. between Q1 of 2017 and Q1 of 2018. Therefore, it is your duty as a store owner to make provisions for your disabled users, so they can engage, interact, and purchase products and services seamlessly. That’s a lot of cash!

Cost-Benefit 100

Cost-Benefit Data mining Sales Testing 100

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. BN in 2018, it is also predicted to grow with a CAGR rate of 22.43% by reaching 2024.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink. By using SQL, the user can simply declare expressions that filter, aggregate, route, and mutate streams of data.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

The Unofficial Google Data Science Blog

APRIL 23, 2024

However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters. Interactions between parameters in different YouTube recommendation subsystems definitely exist, but important interactions and quadratic effects seem relatively rare. 2] Nist / sematech.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

JUNE 29, 2018

Others prefer the ability to interact with a live instructor, particularly when new and challenging concepts are introduced. Blended learning allows those situations to be addressed in a manner that allows for the anywhere, anytime pace of OnDemand, coupled with the live instructor-led interaction. How Will Blended Learning Work?

Interactive 43

Interactive Big Data Technology Data Warehouse 43

CIO Business Intelligence

MARCH 31, 2023

Through the program, you can opt to earn your CCBA certification as well as certifications in Agile Scrum Foundation, Digital Transformation for Leaders, Python for Data Science, and R Programming for Data Science. The exam was developed using the Agile Extension to the BABOK guide and was released in May 2018.

Business Analysis 93

Business Analysis Testing Business Analytics Statistics 93

Smarten

AUGUST 23, 2022

How many donuts were sold in Scottsdale, Arizona during Thanksgiving 2019 and 2018? It is intuitive and ‘smart’ and goes far beyond ‘dumb’ NLP by offering tools that users will want to leverage and interacting with users in a way that is meaningful to them. They can simply ask the question.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. More Policies Emerged” (2010-2018).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Insight

MAY 16, 2019

In this post, I describe how I built an object detection algorithm (FurniSure), during my time as an Insight Data Science Fellow, using a convolutional neural network-based algorithm called “You Only Look Once” to identify, classify, and localize different types of furniture in images and videos.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

Decision Management Solutions

NOVEMBER 19, 2020

A 2018 McKinsey global survey shows that 47% of organizations say they have “embedded at least one [AI capability] into their standard business processes, while another 30% report piloting the use of AI.”. by James Taylor, CEO, Decision Management Solutions. Focus on continuous improvement.

IT 52

IT Modeling Insurance Technology 52

Sisense

APRIL 7, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data. The sheer amount of data being generated is greater than ever (we hit 18 zettabytes in 2018) and will continue to grow.

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

Jet Global

AUGUST 14, 2019

Data modeling can be performed at the conceptual (high-level, related to business objectives), logical (mapping to each business function), and physical (how the actual dimensions, measures, and hierarchies are related within a data cube). The Future is (Almost) Here.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jen Stirrup

APRIL 2, 2019

Research evidence has shown that consumers interact with advertising in complex ways, especially since we have such short attention spans (Weilbacher, 2003). But it’s quite a different thing to work at it so you really know it, practice it, and can share it with other people so it is authentic. Real never goes out of fashion.

Marketing 60

Marketing Advertising Data-driven Strategy 60

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. 2018-06-21). back to the structure of the dataset. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. That’s excellent for supporting really interesting workflow integrations in data science work. Usually it’s human-generated text, but not always. get_data(). ?corpus

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

AWS Big Data

FEBRUARY 1, 2024

Set up Athena to run interactive SQL. The paper emphasizes the significance of incorporating differently preprocessed data for enhancing model performance. Despite the original C4 data being part of Common Crawl, Meta opted for the reprocessed version of this data. You can use the image Data Science 2.0

Metadata 99

Metadata Modeling Data Processing Unstructured Data 99

Cloudera

SEPTEMBER 12, 2018

It was deeply gratifying to see so many organizations deploying the tools and techniques of data science and advanced analytics to solve difficult and important problems. I predict that next year’s competition will be even more amazing as we continue pushing the frontiers of data science forward. Societal Impact:

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Business Over Broadway

MAY 22, 2019

For those of you who are interested, here is Gartner’s latest (2018) hype cycle on emerging technologies. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. So, become data literate.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Sisense

MAY 14, 2019

Periscope Data provides an industry-leading platform for complex analysis that allows teams to experiment with machine learning and other advanced processes to unlock new value from data.

Data-driven 49

Data-driven Machine Learning Business Intelligence Consulting 49

Insight

MARCH 18, 2019

Equality vs Equity (Source: Interaction Institute for Social Change | Artist: Angus Maguire ) Defining a fairness metric To define fairness in this context, we used a p% rule, a generic version of the 80% rule used to quantify the fairness of a model (there are other methods proposed by researchers).

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

Jet Global

OCTOBER 2, 2019

Data modeling can be performed at the conceptual (high-level, related to business objectives), logical (mapping to each business function), and physical (how the actual dimensions, measures, and hierarchies are related within a data cube). The Future is (Almost) Here.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Cloudera

NOVEMBER 14, 2018

Explore our interactive federated learning prototype, Turbofan Tycoon. Register for our webinar (Thursday November 15 2018). And customers get access to a model that is better than one they could train on their own, without compromising the security of their data.

Manufacturing 41

Manufacturing Machine Learning IoT Modeling 41

Insight

MARCH 28, 2019

For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations? After his time at Insight, John was hired by Deep Macro as a data scientist. John Phillips holds a Ph.D.

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

datapine

OCTOBER 21, 2020

Summing up the product of all this work, the data science team developed a web-based user interface that forecasts patient loads and helps in planning resource allocation by utilizing online data visualization that reaches the goal of improving the overall patients’ care. 2) Electronic Health Records (EHRs).

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364