Data Science and Beyond

JULY 5, 2015

This page summarises the deep learning resources I’ve consulted in my album cover classification project.

Deep Learning 40

Deep Learning Consulting Optimization Visualization 40

IBM Big Data Hub

APRIL 22, 2024

The platform, created in partnership with Andel Energi in Denmark, uses IoT sensors, AI and the cloud to provide an energy ecosystem for consumers to participate in real-time, intelligent grid optimization. This will help advance progress by optimizing resources used.

IoT 86

IoT Internet of Things Cost-Benefit Reporting 86

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

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. Using machine learning and historical data, future trends and patterns can be predicted depending on your area of concern. Liked this blog?

IoT 83

IoT Analytics Deep Learning B2B 83

DataRobot Blog

AUGUST 3, 2022

Continuing to build on previously released Text AI capabilities, DataRobot AI Cloud introduces new features to help with language detection, blueprint optimization, and text prediction explanations that help customers quickly build and understand text driven models. Enhanced Autopilot Language Detection and Automatic Hyperparameter Tuning.

Machine Learning 105

Machine Learning Optimization Deep Learning Modeling 105

Smart Data Collective

JULY 8, 2021

Artificial Intelligence employs machine learning algorithms such as Deep Learning and neural networks to learn new information like humans. It eliminates the requirement for feeding new codes every time we want them to learn a new thing. Visit our blog to find more information. A future threat to humanity.

Risk 141

Risk Cost-Benefit Machine Learning Deep Learning 141

IBM Big Data Hub

DECEMBER 5, 2023

According to IBM’s latest CEO study , industry leaders are increasingly focusing on AI technologies to drive revenue growth, with 42% of retail CEOs surveyed banking on AI technologies like generative AI, deep learning, and machine learning to deliver results over the next three years.

Unstructured Data 96

Unstructured Data Cost-Benefit Experimentation Machine Learning 96

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

Machine Learning Sales Data Science Modeling 92

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Product development : Generative AI is increasingly utilized by product designers for optimizing design concepts on a large scale.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

IBM Big Data Hub

SEPTEMBER 6, 2023

AI used for content generation can save marketing teams time and money by creating blogs, marketing messages, copywriting materials, emails, subject lines, subtitles for videos, website copy and many other kinds of content aimed at a target audience. AI can help marketers create and optimize content to meet the new standards.

Marketing 86

Marketing Technology Advertising ROI 86

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 hope to soon run these compressed models on our AI-optimized chip, the IBM AIU. Learn more about watsonx.ai We stand on the frontier of an AI revolution.

Enterprise 134

Enterprise Technology Modeling Cost-Benefit 134

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. For such processes, the data scientist can define and solve a mathematical model to optimize the defined goals.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

IBM Big Data Hub

SEPTEMBER 19, 2023

Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy. It can also help identify coding errors and potential security vulnerabilities.

Software 89

Software IT Visualization Deep Learning 89

Smart Data Collective

FEBRUARY 20, 2022

Its cost-effective service solutions ensure that you can optimize costs, organize data, and provide access controls to meet your business, organizational, and regulatory needs. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Management of data. Messages and notification.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

Smart Data Collective

SEPTEMBER 23, 2020

It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized. This blog will reveal or show the difference between the data warehouse and the data lake. Below are their notable differences. Data Warehouse.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

Occam's Razor

MARCH 30, 2017

People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Most Deep Learning methods involve artificial neural networks, modeling how our bran works. Here’s the higher-order-bit….

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

IBM Big Data Hub

AUGUST 11, 2023

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. Each data attribute, or feature, is managed within a feature store and can be added, deleted, combined or adjusted to improve the machine learning model.

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

CIO Business Intelligence

APRIL 24, 2023

How we got here The most notable enabling technologies in generative AI are deep learning, embeddings, transfer learning (all of which emerged in the early to mid-2000s), and neural net transformers (invented in 2017). Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. This blog post will clarify some of the ambiguity. Machine learning is a subset of AI.

Deep Learning 61

Deep Learning Machine Learning Unstructured Data Modeling 61

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. billion by 2030.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

IBM Big Data Hub

JULY 6, 2023

Python is the most common programming language used in machine learning. Machine learning and deep learning are both subsets of AI. Deep learning teaches computers to process data the way the human brain does. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Smarten

OCTOBER 18, 2023

Recent research reveals that deep learning model training resources have doubled every 3.4 You can train GPT on large datasets of code so that, over time, you can improve and optimize reliability and performance and quality. months for the last decade, meaning that this technology growth is extremely rapid and disruptive.

Consulting 52

Consulting Digital Transformation Software Deep Learning 52

Cloudera

APRIL 10, 2021

To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. . A typical machine learning workflow involves data preparation, model training, model scoring, and model fitting. Get started with GPU accelerated Machine Learning in CDP Now, you can start here.

Machine Learning 61

Machine Learning Modeling Cost-Benefit Data Science 61

IBM Big Data Hub

FEBRUARY 14, 2024

Process automation is often centered on efforts to optimize spend, achieve greater operational efficiency and incorporate new and innovative technologies, which often translate into a better customer experience. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

JUNE 14, 2023

Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. Use this to build a question-answering interface grounded on specific content and recommend optimal next steps to provide customer service assistance. That sounds like a joke, but we’re quite serious.

Modeling 93

Modeling Data Lake Enterprise Deep Learning 93

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. ” AGI analyzes relevant code, generates a draft function with comments explaining its logic and allows the programmer to review, optimize and integrate it.

Cost-Benefit 96

Cost-Benefit Modeling Manufacturing Interactive 96

IBM Big Data Hub

AUGUST 28, 2023

Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification. A targeted approach will optimize the user experience and enhance an organization’s ROI.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

CIO Business Intelligence

JUNE 2, 2022

For optimizing existing resources, Eni uses HPC5 to model, study, and ultimately improve refinement operations. . A recent Dell Technologies blog stated, “This story gets even better when you consider that part of the Rattler cluster is in a Modular Data Center in the parking lot of a Dell Technologies building in Austin, Texas.

Informatics 98

Informatics Modeling Testing Technology 98

IBM Big Data Hub

NOVEMBER 29, 2023

Creating synthetic test data to expedite testing, optimization and validation of new applications and features. Unlock your free trial today The post Synthetic data generation: Building trust by ensuring privacy and quality appeared first on IBM Blog. Check out our synthetic data generator service on watsonx.ai

Metrics 89

Metrics Machine Learning Risk Statistics 89

bridgei2i

NOVEMBER 17, 2020

Data transformation: Use feature engineering through Computer Vision, Natural Language Processing, Graph Networks and other deep learning techniques to abstract and summarize information from a variety of sources ranging from image to text, voice, video, sensor and the like.

Deep Learning 85

Deep Learning Manufacturing Optimization Data-driven 85

IBM Big Data Hub

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Sign up for our webinar: AI for customer service The post Transforming customer service: How generative AI is changing the game appeared first on IBM Blog.

Consulting 58

Consulting Machine Learning Deep Learning Cost-Benefit 58

Cloudera

MARCH 13, 2019

A Data Scientist : Organizations who show how they improved analytics, delivered new actionable intelligence, or designed systems for distributed deep learning and artificial intelligence to the organization’s business and customers. appeared first on Cloudera Blog. The post Introducing the 2019 Data Heroes – EMEA!

Data Architecture 68

Data Architecture Deep Learning Machine Learning Big Data 68

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CDW Research Hub

MAY 28, 2021

Machine learning and deep learning allow AI to make data storage processing easier by helping companies accumulate multiple layers of data in assorted formats and providing valuable insights into their data. Investment in AI. You’re probably wondering, “How do I reduce my dependency on hardware devices?”

Optimization 52

Optimization Deep Learning Enterprise Software 52

Smart Data Collective

APRIL 3, 2020

They can’t sit on their computer all day, answer questions, post blogs, or reply to comments. A couple of months ago, Hacker Moon wrote a great article on the use of deep learning to create chatbot s. Most entrepreneurs would write a lot of blogs to rank well in search engines. How Data-Driven Bots Can Help You.

Big Data 93

Big Data Data-driven Data mining Software 93

bridgei2i

OCTOBER 7, 2020

To get a perspective on evolving trends in insurance in the post-COVID world, read BRIDGEi2i’s blog here. Importance of capturing market data for optimized pricing models. At the final stages of pricing optimization and quote generation, automation can recommend rates along with application & risk summary. click here.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Domino Data Lab

JULY 28, 2021

Today, the most advanced techniques used in data science are grouped under the term Artificial Intelligence (AI) Due to their information-acquiring nature, machine learning, deep learning, natural language processing (NLP) and computer vision are all considered branches within the field of AI. None of these techniques are new.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45