O'Reilly on Data

JANUARY 25, 2021

We shouldn’t separate usage of titles specifically aimed at learning a programming language from titles applying the language or using frameworks based on it. However, Python, when added to the heavily used frameworks PyTorch and scikit-learn, remains the clear leader. But don’t even think of searching for R or C!)

Machine Learning 362

Machine Learning Software Testing Technology 362

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? This should come as no surprise. It is going to continue to change the workforce in the process. Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies.

Big Data 127

Big Data Advertising Internet of Things Marketing 127

CIO Business Intelligence

JANUARY 10, 2024

From IT’s point of view, there’s going to be a steep trajectory over the next few years, spearheaded by generative AI and machine learning, that will dramatically change how people live and work. It’ll create new opportunities and new roles as we grow the functionality,” says Renate Cunneen, VP of global corporate technology.

Machine Learning 52

Machine Learning Technology Insurance Management 52

Smart Data Collective

MARCH 17, 2020

It’s a skill that you would want to learn this year considering how its demand is growing. First, you should learn how Data Science is relevant to yo u, whether you will like, and if there are opportunities for you. Let’s start by first understanding what this field is, and then we will discuss why you need to learn it.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

BizAcuity

MAY 10, 2022

History and innovations in recent times. Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

APRIL 14, 2020

Data is everywhere and every company is focused on what to do with their available data stores: customer journey follow-ups, harvesting precious behavioral insights, performing market analyses, and uncovering sales predictions through Machine Learning, just to name a few. Defining a social network. There’s a COVID-19 confirmed case.

Machine Learning 105

Machine Learning Measurement People Analytics Sales 105

DataRobot

JULY 6, 2021

The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. Yet it’s possible to nudge people to more willingly pay their taxes on time. Tax payment responses went from 33% to 39%. Old-Fashioned Service.

Marketing 105

Marketing Sales Data-driven Statistics 105

Jen Stirrup

FEBRUARY 1, 2023

The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.

Recreation/Entertainment 63

Recreation/Entertainment Testing Advertising Insurance 63

CIO Business Intelligence

APRIL 24, 2023

Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010. A subfield of machine learning – deep learning – trains models for various tasks by presenting them with examples. Transfer learning emerged in the mid-2000s and quickly became popular.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

Peter James Thomas

AUGUST 30, 2018

Limitations in the state of the art in machine learning. It is indeed true that Machine Learning can be quite good at dealing with some types or bad or missing data. The phrase came to mind for me today when coming across the following exhibit: © Business Over Broadway (2018). Limitations of tools.

Data Science 75

Data Science Data Quality Machine Learning Business Intelligence 75

Cloudera

APRIL 21, 2022

military and kept track of health records for millions of active-duty soldiers, sailors, airmen and airwomen, support staff, and retired service people using pens & pencils, typewriters, paper, carbon paper, copy machines, and snail-mail. In 2022, it’s hard to believe, that for the first decades of the Information Age, the U.S.

Metadata 86

Metadata Informatics Insurance Data Processing 86

Timo Elliott

JANUARY 10, 2022

It’s a little bit of a strange title, but it basically means I work with our customers on the leading edge of innovation, try and gather the lessons learned and then share that with as many people as possible so that we can all be more successful. I’m an innovation evangelist for SAP. I have exactly the same one!

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Taken together, those points warranted a much deeper review of the field.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smart Data Collective

APRIL 5, 2019

million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. It gives brands better insights into their customer behavior, which helps them reach them more effectively.

Big Data 79

Big Data Interactive Data-driven Metrics 79

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. As Domino seeks to help data scientists accelerate their work, we reached out to AWP Pearson for permission to excerpt the chapter “Real Estate” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Domino Data Lab

AUGUST 5, 2019

I had just seen Chris speak in New York about his work building a team to develop and deploy machine learning in Data Science at The New York Times and I also attended his recent data ethics talk. In 2010, Netflix cancelled their second recommendation contest after a privacy lawsuit. It configures who can do what from what.

Data Science 93

Data Science Data-driven Modeling Machine Learning 93

Occam's Razor

AUGUST 28, 2017

You’ll learn all about the Global Maxima, definitions of AI/ML/DL, and the implications related to the work we do day to day. The team at Google adopted the strategy of having a robot learn own its own (rather than programming it with pre-configured models). The one-handed robots in this case had to learn to pick up objects.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

FineReport

APRIL 26, 2023

What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially. The term “Big” does not only refer to its size, but also to its capacity to acquire, organize, and process information beyond the capabilities of traditional databases. Why do Enterprises Need Big Data Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

O'Reilly on Data

SEPTEMBER 19, 2023

They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. Hello, R and scikit-learn. .” That came to mind when a friend raised a point about emerging technology’s fractal nature.

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

Domino Data Lab

DECEMBER 2, 2020

Compared to centroid-based clustering like k-means, density-based clustering works by identifying “dense” clusters of points, allowing it to learn clusters of arbitrary shape and identify outliers in the data. The anomalous points pull the cluster centroid towards them, making it harder to classify them as anomalous points. neighborhoods.

Metrics 116

Metrics KDD Testing Machine Learning 116

Edwin Chen

SEPTEMBER 29, 2011

Classification (machine learning) 0.322. Inception (2010 movie) 0.535. The Social Network (2010 movie) 0.513. Machine Learning 0.326. Book Recommendations 0.33. Engineering Recruiting 0.33. Search Engines 0.329. Social Search 0.329. Data Science 0.328. History 0.328. Interaction Design 0.326. Writing 0.319.

Finance 81

Finance Interactive Machine Learning Advertising 81

Smart Data Collective

JANUARY 13, 2021

The Internet is one of the most significant facets of our lives to be touched by data analytics, machine learning and other forms of new data technology. A Gallup poll conducted back in 2010 found that most Internet users were willing to pay for online privacy. There are a number of benefits of machine learning with websites.

Big Data 86

Big Data Machine Learning Data-driven Manufacturing 86

The Unofficial Google Data Science Blog

AUGUST 27, 2019

A machine learning classifier serves this task perfectly. As we note, uniform sampling is unlikely to get enough positive samples to draw inference about the proportion. The PMF depends on how prevalence is defined. Furthermore, let $B$ be the set of all bad videos.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

O'Reilly on Data

JULY 20, 2021

After the release of the iPad in 2010 Craig Hockenberry discussed the great value of communal computing but also the concerns : “When you pass it around, you’re giving everyone who touches it the opportunity to mess with your private life, whether intentionally or not. This expectation isn’t a new one either. That makes me uneasy.”.

Risk 303

Risk Software Interactive Modeling 303