Domino Data Lab

MAY 25, 2022

As much as I would like to talk about that kind of transformers, the subject of this blog post is about the transformers proposed by Vaswani and team in the 2017 paper titled " Attention is all you need ". This will help us understand why transformers are taking over the world of machine learning and doing so not in disguise.

Machine Learning 52

Machine Learning Modeling 52

Business Over Broadway

JANUARY 27, 2019

The most popular ML frameworks include Scikit-Learn, Tensorflow and Keras. Machine Learning Frameworks used in last 5 years. The practice of data science requires the use of machine learning products and frameworks to help data professionals automate processes that drive their business forward.

Machine Learning 89

Machine Learning Data Science Technology Analytics 89

Domino Data Lab

MAY 24, 2022

As much as I would like to talk about that kind of transformers, the subject of this blog post is about the transformers proposed by Vaswani and team in the 2017 paper titled " Attention is all you need ". This will help us understand why transformers are taking over the world of machine learning and doing so not in disguise.

Machine Learning 40

Machine Learning Modeling 40

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you. A more general approach is to learn a Generalized Additive Model (GAM).

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

IBM Big Data Hub

DECEMBER 4, 2017

They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more. Here are our top 10 blog posts of 2017.

Big Data 81

Big Data Data Analytics Analytics Machine Learning 81

Smart Data Collective

SEPTEMBER 17, 2019

Machine learning is creating pivotal change in the energy industry. Towards Data Science wrote about the changes that machine learning is bringing to this field. You need to consider the benefits of using an electrical system that relies on machine learning technology. When was the last time it was updated?

Machine Learning 72

Machine Learning Enterprise Insurance Cost-Benefit 72

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We Machine Learning in the Age of Big Data. This blog has everything!

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

Publishing 398

Publishing Analytics Deep Learning Machine Learning 398

Domino Data Lab

FEBRUARY 10, 2019

This blog post provides insights into why machine learning teams have challenges with managing machine learning projects. Why are Machine Learning Projects so Hard to Manage? I’ve watched lots of companies attempt to deploy machine learning?—?some Why is this? We might expect that.

Machine Learning 63

Machine Learning Modeling Deep Learning Metrics 63

Cloudera

FEBRUARY 16, 2018

In many ways, 2017 was a singular year for Cloudera, not least because we staged a successful IPO and joined the ranks of the world’s fastest-growing, publicly traded companies. UK’s V3 Technology Award as best AI/Machine Learning Provider. The post 2017 – Another Award-Winning Year for Cloudera!

IoT 44

IoT Machine Learning Manufacturing Data Science 44

BizAcuity

APRIL 15, 2019

And the most recent developments in machine learning, business analytics and more have made affiliate marketing more powerful and efficient than ever before. Ever since it’s boom, people have discovered diverse uses for machine learning and business analytics and have been using them to reach their target audiences.

Machine Learning 75

Machine Learning Marketing Analytics Business Analytics 75

Smart Data Collective

FEBRUARY 4, 2020

The market for machine learning is projected to reach $20.8 billion back in 2017. The rapid growth in the machine learning market is largely attributed to the growing list of applications for it. Machine learning is being leveraged in every industry from healthcare to criminal justice.

Machine Learning 43

Machine Learning Marketing Technology Publishing 43

Analytics Vidhya

AUGUST 17, 2022

A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […]. This article was published as a part of the Data Science Blogathon. The post Test your Data Science Skills on Transformers library appeared first on Analytics Vidhya.

Testing 243

Testing Data Science Publishing Modeling 243

Analytics Vidhya

OCTOBER 1, 2022

Introduction In 2017, The Economist declared that “the world’s most valuable resource is no longer oil, but data.” This article was published as a part of the Data Science Blogathon. Companies like Google, Amazon, and Microsoft gather large bytes of data, harvest it, and create complex tracking algorithms.

Data-driven 231

Data-driven Data Science Publishing Analytics 231

David Menninger's Analyst Perspectives

NOVEMBER 1, 2023

In 2017, it went public in an IPO on the NYSE. Alteryx was founded in 1997 and initially focused on analyzing demographic and geographically organized data. In 2006, the company released its eponymous product that established its direction for what the product is today.

Analytics 144

Analytics Marketing Software IT 144

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. Today, 60% to 70% of Rocket’s workloads run on the cloud, with more than 95% of those workloads in AWS.

Data Lake 131

Data Lake Machine Learning Data Warehouse Unstructured Data 131

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. We found companies were planning to use deep learning over the next 12-18 months.

Deep Learning 208

Deep Learning Machine Learning Data Science Metadata 208

David Menninger's Analyst Perspectives

OCTOBER 5, 2018

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event , the focus was largely on machine learning and artificial intelligence (AI).

Marketing 140

Marketing Machine Learning Technology Management 140

O'Reilly on Data

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. What’s driving this growth? disproportionately involve Python.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

CIO Business Intelligence

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

O'Reilly on Data

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. Coincidence? Probably not, but only time will tell.

Data-driven 335

Data-driven Software Statistics Marketing 335

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Modeling 194

Modeling Machine Learning Testing Metrics 194

Business Over Broadway

JANUARY 13, 2019

Kaggle conducted a worldwide survey in October 2018 of 23,859 data professionals ( 2018 Machine Learning and Data Science Survey ). Their survey included a variety of questions about data science, machine learning, education and more. However, R usage decreased 10 percentage points (46% used in 2017).

Machine Learning 110

Machine Learning Data Science Visualization Technology 110

DMBS2

DECEMBER 12, 2017

As I wrote back then in a post about the connection between machine learning and the rest of AI , It is my opinion that most things called “intelligence” — natural and artificial alike — have a great deal to do with pattern recognition and response. Accordingly, it can be reasonable to equate machine learning and AI.

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

CIO Business Intelligence

JANUARY 4, 2023

billion in stock buybacks between 2017 and 2019. In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. 31 what amounts to $428 million a year.

Digital Transformation 144

Digital Transformation Software Technology Modeling 144

Business Over Broadway

JUNE 29, 2020

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. Kaggle conducted a worldwide survey in October 2019 of 19,717 data professionals ( 2019 Kaggle Machine Learning and Data Science Survey ).

Machine Learning 128

Machine Learning Data Science Technology Analytics 128

Business Over Broadway

JANUARY 11, 2021

Data professionals of all stripes, including data scientists, machine learning engineers and others, use different types of tools in their jobs. Additionally, 8 out of 10 data professionals recommended that aspiring data scientists learn Python first. The most popular, by far, was Python (86% used). Click image to enlarge.

Machine Learning 56

Machine Learning Data Science Software IT 56

Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. 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

Data Science 101

APRIL 26, 2019

Gopher Data – Gophers doing data analysis, no schedule events, last blog post was 2017 Gopher Notes – Golang in Jupyter Notebooks Lgo – Interactive programming with Jupyter for Golang Gota – Data frames for Go, “The API is still in flux so use at your own risk.” Machine Learning with Go?

Data Science 111

Data Science Machine Learning Interactive Risk 111

Jedox

JULY 17, 2018

Many of us already profit from machine learning or artificial intelligence – often without even thinking about it. Artificial intelligence and machine learning excel at processing and analyzing large amounts of data from multiple sources in a very short time.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

CIO Business Intelligence

MARCH 25, 2022

I bring the tech and cyber expertise to those boards, and also the digital piece,” adds Martin, a member of the CIO Hall of Fame since 2017. “It We do this work because of those data benefits: the ability to apply AI or machine learning in ways that drive greater business insights. It actually makes me work harder.

Digital Transformation 114

Digital Transformation Uncertainty Machine Learning Strategy 114

DataRobot Blog

APRIL 29, 2022

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. In 2017, additional regulation targeted much smaller financial institutions in the U.S. The FDIC’s action was announced through a Financial Institution Letter, FIL-22-2017.

Risk 111

Risk Modeling IT Risk Management 111

CIO Business Intelligence

NOVEMBER 24, 2023

In 2022 alone, the International Telecommunications Union (ITU) recorded 25% growth in international bandwidth usage, adding to a 33% compounded average growth rate that’s been steadily rising since 2017. The proliferation of fibre connectivity has also enabled exponential growth in the number of connected devices.

Digital Transformation 115

Digital Transformation Recreation/Entertainment Enterprise Machine Learning 115

CIO Business Intelligence

DECEMBER 7, 2023

In 2017, the university created its Education and Research Center for Disaster Risk Reduction and Redesign that focuses on disaster relief – including disaster medicine, prevention education, and reconstruction design.

IoT 100

IoT Internet of Things Forecasting Digital Transformation 100

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. The refrain has been repeated ever since. But like oil, data and analytics have their dark side.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Business Over Broadway

MARCH 8, 2021

I analyzed data from the 2020 Kaggle Machine Learning and Data Science survey in which they surveyed over 20,000 data professionals. Women, on the other hand, represented only around 13% of data professionals who identified as a Product/Project Manager, Machine Learning Engineer, Software Engineer or Data(base) Engineer.

Data Science 138

Data Science Machine Learning Statistics Reporting 138

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105