O'Reilly on Data

FEBRUARY 4, 2019

As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for. Deep Learning. Text and Language processing and analysis. Temporal data and time-series. Automation in data science and big data. Graph technologies and analytics.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

DataKitchen

APRIL 13, 2021

GitHub – A provider of Internet hosting for software development and version control using Git. AWS Code Commit – A fully-managed source control service that hosts secure Git-based repositories. Azure Repos – Unlimited, cloud-hosted private Git repos. . Datatron — Automates deployment and monitoring of AI models.

Testing 300

Testing Machine Learning Consulting Data Science 300

Cloudera

DECEMBER 4, 2024

Users can deploy trained models, including GenAI models or predictive deep learning models, directly to the Cloudera AI Inference service. It is ideal for deploying always-on AI models and applications that serve business-critical use cases.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

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. Deep Learning on Imagery and Text. Deep Learning on Imagery. Introduction. You can see a complete list of talks see here.

Deep Learning 55

Deep Learning Data Science Machine Learning Data Processing 55

Smart Data Collective

JANUARY 20, 2020

Most of these tools are powered by a specific Deep Learning engine which also assists in conversions, revenue generation, and better traffic generations. Deep Learning technologies are also in place to measure content performance and the existing trends which eventually make sure whether the existing content plan will work or not.

Deep Learning 127

Deep Learning ROI Data-driven Marketing 127

Business Over Broadway

MARCH 2, 2021

The next most used computing platform is a cloud computing platform and a deep learning workstation. The biggest users of deep learning workstations are Machine Learning Engineers (13%, Research Scientists (13%) and Data Scientists (7%). One piece of equipment that is commonly used is the computing platform.

Data Science 93

Data Science Deep Learning Machine Learning Data-driven 93

Smart Data Collective

JUNE 4, 2021

Similarly, when a user watches a movie from a series, the video hosting application recommends other movies from the series. Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

CIO Business Intelligence

APRIL 25, 2022

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. The eight-week fundamentals of data science program teaches students the skills necessary for extracting, analyzing, and processing data using Google Analytics, SQL, Python, Tableau, and machine learning.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

JUNE 13, 2022

In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service. Conversational AI can be hosted in a public cloud service or in a company’s data center for control, compliance and security reasons.

Deep Learning 105

Deep Learning Data Processing Insurance Cost-Benefit 105

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

CIO Business Intelligence

OCTOBER 4, 2023

These applications live on innumerable servers, yet some technology is hosted in the public cloud. We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda. PayPal’s deep learning models can be trained and put into production in two weeks, and even quicker for simpler algorithms.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. With frameworks like Tensorflow , Keras , Pytorch, etc.,

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

FineReport

MARCH 3, 2020

This book is his new book, Deep Learning for Coders with fast.AI If a copy of this code is hosted elsewhere, the author may be sued. In addition, this project is also a draft of Jeremy Howard’s new book, which has not yet been officially released, which is equivalent to saving you another $ 60.

Deep Learning 98

Deep Learning Data Processing Software Data Science 98

CIO Business Intelligence

DECEMBER 20, 2023

Since the last mile process is highly agile, CIOs must ensure the software systems have built-in deep learning capabilities to make in-the-moment decisions. For example, Uber and Zomato use a deep learning algorithm that considers driver location and overall ratings while mapping them to particular orders/bookings.

Software 111

Software Deep Learning B2B Cost-Benefit 111

CIO Business Intelligence

JANUARY 23, 2023

The company has been a supporter of OpenAI’s quest to build an artificial general intelligence since its early days, beginning with its hosting of OpenAI experiments on specialized Azure servers in 2016. Billion-dollar brain Rumors that Microsoft could invest as much as $10 billion to grow its AI business broke in early January.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

CIO Business Intelligence

APRIL 11, 2022

On top of a double-digit population growth rate over the past decade, the city hosts more than 40 million visitors in a typical year. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics?

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

Data Science 101

DECEMBER 11, 2019

Every year they host an excellent and influential conference focusing on many areas of data science. Topics of interest include artificial intelligence, big data, data analytics, data science, data mining, deep learning, knowledge graphs, machine learning, relational databases and statistical methods. 1989 to be exact.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

DataRobot

JULY 27, 2021

To this, the Algorithmia acquisition will add a host of complementary capabilities that significantly enhance our MLOps offering and further bolster the strength of our AI platform, including robust GPU acceleration, as well as a solid IT backbone.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

CIO Business Intelligence

MAY 20, 2022

The University of California–Berkeley Department of Electrical Engineering and Computer Sciences focuses its foundational research in core areas of deep learning, knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech, and NLP. University of California–Berkeley.

Machine Learning 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Managing Machine Learning Projects” (AWS).

Management 363

Management Machine Learning Experimentation Metrics 363

Smart Data Collective

FEBRUARY 20, 2022

AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Also, developers can connect GPU clusters or compute-optimized instances to AWS Deep Learning Amazon Machine Images (AMIs) to create and train custom AI models. Messages and notification. Easy to use.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

bridgei2i

MAY 14, 2019

BRIDGEi2i is pleased to host Alex Smola – VP & Distinguished Scientist at AWS for an informative and hands-on learning session on Computer Vision GluconCV & D2L.ai Smola will be touching upon Computer Vision – an integral application of deep learning, and in particular on MXNet Glucon.

Contextual Data 63

Contextual Data Deep Learning Data Processing Consulting 63

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. We stand on the frontier of an AI revolution. But we’ve faced a paradoxical challenge: automation is labor intensive.

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

SEPTEMBER 9, 2019

We can compare open source licenses hosted on the Open Source Initiative site: In [11]: lic = {} ?lic["mit"] It’s important to note that machine learning for natural language got a big boost during the mid-2000’s as Google began to win international language translation competitions. deep learning on edge devices.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

CIO Business Intelligence

APRIL 17, 2024

Sandra Castillo, senior scientist and computational biologist at Finland research organization VTT, is using gen AI to design new protein sequences based on what can be learned from nature. coli or other bacterial hosts to express the proteins. The new sequences are then tested at the VTT lab by using E.

Enterprise 129

Enterprise Testing Digital Transformation Software 129

Smart Data Collective

MARCH 22, 2019

Marketers have utilized deep learning technology to get a better understanding of their customers, so they can refine their creative and targeting strategies. Deep learning technology can make this happen. Big data is also helping act as a bridge between Internet users and host servers.

Big Data 67

Big Data Deep Learning Machine Learning Marketing 67

IBM Big Data Hub

NOVEMBER 14, 2023

IBM watsonx.data offers connectivity flexibility and hosting of data product lakehouses built on Red Hat OpenShift for an open hybrid cloud deployment. Multiple parties collaborate in their own development spaces, consuming the data product services on the platform in their offerings and then hosting for consumption by their customers.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

CIO Business Intelligence

JANUARY 26, 2024

University of California – Berkeley The University of California – Berkeley Department of Electrical Engineering and Computer Sciences focuses its foundational research in core areas of deep learning, knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech, and NLP.

Machine Learning 105

Machine Learning Statistics Recreation/Entertainment Data Science 105

Cloudera

OCTOBER 1, 2022

And by the time we got to 2020, if an organization had experience with machine learning, it was largely through investments in what I call lab-types of environments.”. Sam Charrington, founder and host of the TWIML AI Podcast. Sam Charrington, founder and host of the TWIML AI Podcast. From a recent Cloudera roundtable event.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

Cloudera

SEPTEMBER 20, 2022

The state of the art in AI systems for artistic tasks almost universally use deep-learning models, which presuppose a significant amount of compute resources both to create them, and once created to continue to use them for producing images. Access — who can use it? Data — where does it come from?

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

CIO Business Intelligence

APRIL 13, 2023

Companies such as Salesforce , Amazon , The Coca-Cola Company , and Snapcha t are making bold moves to integrate generative AI into a host of capabilities. Deep learning models, for example, can have thousands or even millions of parameters. You can even ask ChatGPT about this.)

Modeling 90

Modeling Deep Learning Data-driven Data Processing 90

Domino Data Lab

JULY 2, 2019

Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Here’s a sampler of related papers and articles if you’d like to dig in further: “ Synthesizing Programs with Deep Learning ” – Nishant Sinha (2017-03-25). “ Software writes Software?

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

CDW Research Hub

NOVEMBER 12, 2020

On the other hand, there are a wide variety and growing number of AI cloud services, with some great data center options for hosting AI hardware. CPUs are sufficient for basic AI workloads, but GPUs are more ideally suited for deep learning workloads, which can require multiple large datasets and scalable neural networks.

ROI 79

ROI Deep Learning Machine Learning Business Objectives 79

bridgei2i

APRIL 16, 2021

So welcome to our podcast series Beyond Theory with AI Labs, and I’m your host, Divyansh. Anil: Deep learning systems are essentially large networks with many layers constituting an artificial neuron that fires when a certain set of its input neurons fire. But does nobody really understand how deep learning actually works?

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Interactive 98

Smart Data Collective

MAY 17, 2021

There are also a host of new challenges, the pandemic being only one of them. The Future of Fleet Management: All-in on Big Data. The big data market in fleet management is growing, and the industry is becoming more efficient and competitive.

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132