IBM Big Data Hub

SEPTEMBER 11, 2023

Data and AI as the Pillars of the Partnership At the heart of this partnership lies a deep appreciation for the role of data as the catalyst for AI innovation. Data provides the raw materials for AI algorithms to learn and evolve, while AI extracts actionable insights from data that shape business strategies and customer experiences.

Data-driven 114

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Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This blog post hopes to provide this foundational understanding. What is Machine Learning.

Machine Learning 92

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IBM Big Data Hub

DECEMBER 4, 2023

So, why do millions of small enterprises believe that impactful AI is only accessible to big companies with deep pockets? We also provide the same contractual intellectual property protections  for IBM-developed AI models as we do for all our products, reinforcing trust in businesses’ AI journeys.

Enterprise 83

Enterprise Risk Modeling Technology 83

bridgei2i

FEBRUARY 21, 2020

Deep learning provides an edge over your competition. Using machine learning and historical data, future trends and patterns can be predicted depending on your area of concern. ML-based tech such as NLP, Computer Vision, and Reinforcement Learning To Increase. Liked this blog? IoT Continues to Boom.

IoT 83

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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. What is data science?

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Domino Data Lab

NOVEMBER 18, 2021

This simple principle has guided humans since the beginning of time, and now, more than ever before, it is the key principle behind a growing number of reinforcement learning (RL) agents within the technologies we use and rely upon every day. When you do something well, you’re rewarded.

Data Science 52

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Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. Learn more about how Cloudera helps Telcos deliver Trusted AI Everywhere.

Interactive 76

Interactive Data-driven Cost-Benefit Optimization 76

Smarten

JUNE 14, 2023

While it has only recently received public attention, this deep learning model architecture was launched more than five years ago by The American Artificial Intelligence Organization (OpenAI), and recent innovations like ChatGPT are based on the latest version of GPT (GPT-4). This fragmentation can and will change context.

Optimization 52

Optimization IT Digital Transformation Consulting 52

Domino Data Lab

MAY 15, 2019

It focuses on his ML product management insights and lessons learned. Machine Learning Projects are Hard: Shifting from a Deterministic Process to a Probabilistic One. Over the years, I have listened to data scientists and machine learning (ML) researchers relay various pain points and challenges that impede their work.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

Ontotext

DECEMBER 15, 2023

The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu. By exploring the first topic machine-learning , we find 117k Github repos. has 260,491 topics and is 15 levels deep. uie paddlenlp ).

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

Insight

APRIL 9, 2019

NASA [Public domain] In this blog, I’ll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. Reinforcement Learning Reinforcement learning (RL) is learning what to do to maximize a reward function.

Manufacturing 75

Manufacturing Machine Learning Testing Software 75

Sisense

JUNE 25, 2020

The firm’s internal AI platform, which is called Deep Brew, is at the crux of Starbucks’ current data strategy. Deep Brew is also used to predict staffing requirements so Starbucks can add workers where and when needed. Deep Brew is also used to predict staffing requirements so Starbucks can add workers where and when needed.

Big Data 98

Big Data Data-driven IoT Marketing 98

Depict Data Studio

OCTOBER 26, 2021

In this blog post, you’ll learn from Elizabeth Dove. The course was great, and I’d like to share some of what I learned! I first learned this trick using Adobe software and was pleased it works in the Office suite too, so try it in whatever design software you use frequently if you haven’t already!

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Visualization Experimentation Software Strategy 116

Domino Data Lab

JULY 28, 2021

In this article, take a deep dive into data science and how Domino’s Enterprise MLOps platform allows you to scale data science in your business. In fact, deep learning was first described theoretically in 1943. The most commonly used techniques today are under the umbrella of machine learning.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Cloudera

AUGUST 25, 2020

Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon. Machine Learning and AI provide powerful predictive engines that rely on historical data to fit the models. You can catch-up and read part 1 of the series, here.

Prescriptive Analytics 68

Prescriptive Analytics Technology Machine Learning Risk 68

datapine

JUNE 5, 2019

Learn all about data dashboards with our executive bite-sized summary! To summarize, in the context of BI, data dashboards are used for: Deep-level insight: Drilling down deeper into key aspects of your business’s daily, weekly and monthly operation to create initiatives for increased efficiency. What Is A Data Dashboard?

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IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

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Cost-Benefit Insurance Unstructured Data Machine Learning 89

Darkhorse

DECEMBER 11, 2017

I suggest that there are five distinct job descriptions: SUBSCRIBE TO OUR BLOG. If he’s a superstar, he’ll know all about Reinforcement Learning, Bayes, Optimization, and the difference between precision, accuracy, and skill. SUBSCRIBE TO OUR BLOG. A helpful starting point is to imagine your dream team. Happy hunting.

Analytics 80

Analytics Visualization Data Warehouse Data-driven 80

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

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Snapshot Testing Deep Learning Visualization 57

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. We also gave the demo script and data set to all vendors in the Exhibit Hall to create demos for their booths and to submit for this blog. We did two Bake-Offs this year.

Optimization 52

Optimization Machine Learning Insurance Risk 52

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? the target or outcome variable is known).

Machine Learning 82

Machine Learning Modeling Deep Learning Predictive Modeling 82

Domino Data Lab

AUGUST 9, 2021

Just as the human brain can solve problems by applying lessons we learn from past experiences to new situations, a model is trained on a set of data and can solve problems with new sets of data. Before selecting a tool, you should first know your end goal – machine learning or deep learning. What Are Modeling Tools?

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. This blog post will clarify some of the ambiguity. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 62

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IBM Big Data Hub

JANUARY 10, 2024

For example, learning, reasoning, problem-solving, perception, language understanding and more. Instead of relying on explicit instructions from a programmer, AI systems can learn from data, allowing them to handle complex problems (as well as simple-but-repetitive tasks) and improve over time. How does traditional programming work?

Unstructured Data 84

Unstructured Data Deep Learning Cost-Benefit Modeling 84

Cloudera

APRIL 27, 2023

In the blog we will cover how Ray can be used in Cloudera Machine Learning’s open-by-design architecture to bring fast distributed AI compute to CDP. Its innovative architecture enables seamless integration with ML and deep learning libraries like TensorFlow and PyTorch. This is the power of being open by design.

Machine Learning 75

Machine Learning Dashboards Deep Learning Testing 75

Domino Data Lab

AUGUST 10, 2021

At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. PyTorch: used for deep learning models, like natural language processing and computer vision. It’s used for developing deep learning models.

Modeling 64

Modeling IT Risk Management Deep Learning 64

O'Reilly on Data

JULY 25, 2023

So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. This article summarizes what I learned from that experience. At this point I wanted to learn more about what all these files are meant to do rather than continuing to obediently copy-paste code from ChatGPT into my project.

Consulting 246

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Domino Data Lab

FEBRUARY 12, 2020

this post on the Ray project blog ?. for reinforcement learning (RL), ? Motivations for Ray: Training a Reinforcement Learning (RL) Model. Motivations for Ray: Training a Reinforcement Learning (RL) Model. RL is the type of machine learning that was used recently to ?beat To Learn More.

Experimentation 137

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IBM Big Data Hub

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. Due to deep learning and other advancements, the field of AI remains in a constant and fast-paced state of flux.

Machine Learning 74

Machine Learning Deep Learning Interactive Modeling 74

DataRobot Blog

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. That’s why DataRobot University offers courses not only on machine learning and data science but also on problem solving, use case framing, and driving business outcomes. Data Analysis Must Include Business Value.

Data Analytics 52

Data Analytics Analytics Machine Learning Metrics 52

IBM Big Data Hub

MAY 17, 2023

Additionally, DaaS has the potential to leverage smart technologies such as IoT, sensors, 5G, edge analytics and machine learning to improve the monitoring and visualization of assets operations. DaaS uses built-in deep learning models that learn by analyzing images and video streams for classification.

Data Collection 84

Data Collection Visualization Data-driven Unstructured Data 84

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. My take: Augmentation and reinforcement learning are much more powerful than out-of-the-box solutions, and this is what’s guiding us along the way. Let’s dive into these trends and see what else is on the horizon.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

IBM Big Data Hub

SEPTEMBER 11, 2023

It leverages machine learning algorithms to continuously learn and adapt to workload patterns, delivering superior performance and reducing administrative efforts. Overall, this demonstrates the advantages gained from the deep integration and synergy that exists between software and hardware on the IBM mainframe.

Machine Learning 92

Machine Learning Cost-Benefit IoT Data Warehouse 92

Domino Data Lab

APRIL 6, 2021

Editors Note: This article was originally posted on Patterson Consulting’s blog and can be found at [link] and has been republished with permission. Training machine learning models, especially neural networks, is compute-intensive. Then I’ll briefly mention several higher-level toolkits for machine learning that leverage Ray.

Data Science 81

Data Science Optimization Machine Learning Modeling 81

Andrew White

OCTOBER 31, 2019

Google’s DeepMind (and IBM’s Deep Blue , forerunner of Watson) have been talked about in the past with earlier games. IBM’s Deep Blue conquered Chess in 1997 with a famous victory over Gary Kasparov. Other PC gaming related blogs: What Software Developers can learn from their PC Gaming Developer Cousins.

Strategy 40

Strategy Testing Software IT 40

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. and dig into details about where science meets rhetoric in data science. Modernists and structuralists beware. I got this.”.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66