O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). 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.

Management 363

Management Machine Learning Experimentation Metrics 363

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. Users can deploy trained models, including GenAI models or predictive deep learning models, directly to the Cloudera AI Inference service. Why did we build it?

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

JUNE 4, 2021

Basics of Machine Learning. Machine learning is the science of building models automatically. Whereas in machine learning, the algorithm understands the data and creates the logic. Whereas in machine learning, the algorithm understands the data and creates the logic. Semi-Supervised Learning.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

Business Over Broadway

MARCH 2, 2021

The next most used computing platform is a cloud computing platform and a deep learning workstation. In a worldwide machine learning and data science survey by Kaggle in late 2020 of over 20,000 data professionals, respondents were asked a variety of questions regarding the data science tools they typically use.

Data Science 93

Data Science Deep Learning Machine Learning Data-driven 93

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 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

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. Introduction. You may also remember UMBC from the miracle at the 2018 NCAA Tournament.)

Deep Learning 55

Deep Learning Data Science Machine Learning Data Processing 55

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

DataRobot

JULY 27, 2021

Algorithmia automates machine learning deployment, provides maximum tooling flexibility, optimizes collaboration between operations and development, and leverages existing software development lifecycle (SDLC) and continuous integration/continuous development (CI/CD) practices. We couldn’t agree more.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

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

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

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.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

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 105

Machine Learning Statistics Recreation/Entertainment Data Science 105

Insight

SEPTEMBER 20, 2019

The model was a modified U-Net and trained on GPU hosted by Amazon Web Services (AWS) EC2 instances. Discussion In this project, I used deep learning techniques to automatically detect lesion regions and classify the lesion, which can have both cost and time-saving benefits. The testing accuracy of the model is 0.79

Deep Learning 53

Deep Learning Cost-Benefit Testing Modeling 53

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. By leveraging artificial intelligence and machine learning technologies, the smart city solution also learns to identify normal patterns of activity occurring in public places.

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

Smart Data Collective

FEBRUARY 20, 2022

Rather, AWS offers a variety of data movement, data storage, data lakes, big data analytics, log analytics, streaming analytics, and machine learning (ML) services to suit any need. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Artificial intelligence (AI).

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

Smart Data Collective

MAY 17, 2021

Big data solutions are often created and supported using various technologies from IIoT to machine learning and AI. All that performance data can be fed into a machine learning tool specifically designed to identify certain events, failures or obstacles. It also introduces operational efficiencies.

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132

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 ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JULY 2, 2019

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. of relational databases represent early forms of machine learning.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Cloudera

OCTOBER 1, 2022

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. . It is pretty impressive just how much has changed in the enterprise machine learning and AI landscape.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

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. Here are some ways that new predictive analytics and machine learning solutions are solving this dilemma. Deep learning technology can make this happen.

Big Data 67

Big Data Deep Learning Machine Learning Marketing 67

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

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

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. He has over a decade of experience in the field of AI, which he started with his paper on machine learning in 2009. because, unlike traditional coding, the system automatically learns to solve a problem by using huge amounts of data.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Interactive 98

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

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

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

Domino Data Lab

MARCH 29, 2021

The addition of the MLlib library, consisting of common learning algorithms and utilities, opened up Spark for a wide range of machine learning tasks and paved the way for running complex machine learning workflows on top of Apache Spark clusters.

Cost-Benefit 98

Cost-Benefit Machine Learning Testing Interactive 98

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.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

CIO Business Intelligence

MAY 16, 2022

The data gathered from cameras and sensors as part of a computer vision system, along with machine learning, make it easier to find missing persons and to identify people who are not allowed to be in a venue. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

Recreation/Entertainment 104

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 104

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

DataRobot Blog

FEBRUARY 2, 2023

Large language models, also known as foundation models, have gained significant traction in the field of machine learning. Learn how you can easily deploy a pre-trained foundation model using the DataRobot MLOps capabilities, then put the model into production. What Are Large Language Models? pip install transformers==4.25.1

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

Domino Data Lab

JANUARY 14, 2019

The notebook is hosted on Domino’s trial site. We do this with side-by-side code comparisons of SHAP and LIME for four common Python models. The code below is a subset of a Jupyter notebook I created to walk through examples of SHAP and LIME.

Testing 89

Testing Deep Learning Modeling Data Science 89

CIO Business Intelligence

JANUARY 4, 2023

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

Cost-Benefit 59

Cost-Benefit Machine Learning Uncertainty Modeling 59

Insight

MARCH 25, 2020

After reading this, I hope you can learn how to build deep learning models using TensorFlow Keras, productionalize the model as a Streamlit app, and deploy it as a Docker container on Google Cloud Platform (GCP) using Google Kubernetes Engines (GKE). In this project, I was curious to see if deep learning approaches?—?specifically

Deep Learning 53

Deep Learning Metrics Data Processing Interactive 53