Laminar Security

DECEMBER 13, 2023

As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages.

Analytics 269

Analytics Interactive Modeling IT 269

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? Products based on deep learning can be difficult (or even impossible) to develop; it’s a classic “high return versus high risk” situation, in which it is inherently difficult to calculate return on investment.

Marketing 363

Marketing Experimentation Metrics Testing 363

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. will most likely have an article on Wikipedia that can serve as a starting point.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

O'Reilly on Data

SEPTEMBER 12, 2018

Watch " Managing risk in machine learning.". Von Neumann to deep learning: Data revolutionizing the future. Jeffrey Wecker offers a deep dive on data in financial services, with perspectives on data science, alternative data, the importance of data centricity, and the future of machine learning and AI.

IoT 144

IoT Machine Learning Deep Learning Data Science 144

O'Reilly on Data

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The Two Cultures of Data Tooling.

Data Science 358

Data Science Machine Learning Data Warehouse Deep Learning 358

IBM Big Data Hub

MAY 17, 2024

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. As the future of commerce unfolds, each use case interacts holistically to transform the customer journey from end-to-end–for customers, for employees, and for their partners.

B2B 64

B2B Interactive Optimization Forecasting 64

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Remember how cool it felt when you first held a smartphone in your hand?

Enterprise 119

Enterprise Modeling Testing Data-driven 119

Smart Data Collective

MARCH 27, 2023

They have also started integrated computer vision and deep learning technology to identify inefficiencies. In this article, we look at the importance of financial software and discuss how you can use it to secure better business outcomes. Keep reading to learn more about the relevance of AI in finance.

Software 88

Software Finance Cost-Benefit Data-driven 88

O'Reilly on Data

JUNE 18, 2019

Moreover, the domain knowledge, which often is not encoded in the data (nor fully documented), is an integral part of this data (see this article from Forbes). In this post, we shed some light on various efforts toward generating data for machine learning (ML) models. See this article on data integration status for details.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

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.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Smart Data Collective

MAY 8, 2022

Brands are closely working to solve this as they dive deep into the world of big data analytics. Well, don’t go anywhere because, in this article, we will show you how you can use big data analytics combined with AI to achieve the best performance possible. What is the relationship between big data analytics and AI?

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

IBM Big Data Hub

JUNE 14, 2023

Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. Answer questions about an article or dynamic content. Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. That sounds like a joke, but we’re quite serious.

Modeling 85

Modeling Data Lake Enterprise Deep Learning 85

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. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 57

Deep Learning Machine Learning Unstructured Data Modeling 57

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. Also, its emotional intelligence allows it to adapt communication to be empathetic and supportive, creating a more positive interaction for the customer. The AGI research field is constantly evolving.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

Smart Data Collective

APRIL 3, 2020

With the help of chatbots, you can interact with your customers even if you are sleeping. A couple of months ago, Hacker Moon wrote a great article on the use of deep learning to create chatbot s. You may want to spend one to two minutes explaining what you have to offer, and they might ask some follow-up questions.

Big Data 94

Big Data Data-driven Data mining Software 94

Domino Data Lab

JULY 28, 2021

In this article, we will provide an overview of the three overlapping components of data science, the importance of communication and collaboration, and how the Domino Data Lab MLOps platform can help improve the speed and efficiency of your team. Computer Science Skills. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smart Data Collective

APRIL 3, 2020

With the help of chatbots, you can interact with your customers even if you are sleeping. A couple of months ago, Hacker Moon wrote a great article on the use of deep learning to create chatbot s. You may want to spend one to two minutes explaining what you have to offer, and they might ask some follow-up questions.

Big Data 79

Big Data Data-driven Data mining Software 79

Sisense

APRIL 15, 2021

Augmented analytics (according to Gartner, which would know), uses technologies “such as machine learning [ML] and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms.”

Analytics 98

Analytics Data Science Modeling Machine Learning 98

Insight

MAY 16, 2019

It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. How Deep Learning scales based on the amount of Data [Copyright: Andrew Ng ]. I also applied this model to videos and real-time detection with webcam.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

FineReport

DECEMBER 19, 2019

When it comes to data analysis, from database operations, data cleaning, data visualization , to machine learning, batch processing, script writing, model optimization, and deep learning, all these functions can be implemented with Python, and different libraries are provided for you to choose. From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

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. Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions. What is Data Science and How is it Used?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

CDW Research Hub

JULY 31, 2019

Recent advances in machine learning, and more specifically its subset, deep learning, have made it possible for computers to better understand natural language. These deep learning models can analyze large volumes of text and provide things like text summarization, language translation, context modeling, and sentiment analysis.

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

O'Reilly on Data

JUNE 7, 2022

That’s an allusion to the debate ( sometimes on Twitter ) between LeCun and Gary Marcus, who has argued many times that combining deep learning with symbolic reasoning is the only way for AI to progress. (In Similarly, if I want a system that writes news articles about religious institutions, do I want a fully general intelligence?

Modeling 363

Modeling Interactive Optimization Deep Learning 363

Insight

AUGUST 17, 2020

topics that we don’t often have the chance to talk about candidly in our day-to-day work; topics that nevertheless tie into how we experience the workplace and interact with each other. Javed leveraged a deep learning RNN model to build the world’s first two-way translator between English and Jamaican Creole.

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. Welcome back to our monthly burst of themes and conferences.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Rocket-Powered Data Science

MAY 21, 2024

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” See additional references and resources at the end of this article. In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g.,

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The paper determined the technique not fit for clinical use.

Analytics 143

Analytics Machine Learning Insurance Testing 143

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Domino Data Lab

JULY 22, 2019

Greg Linden ‘s article about splitting the website on Amazon. and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. We have an article on this on Domino. By that point, they had all reached the same conclusion.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smart Data Collective

MARCH 1, 2022

Furthermore, in this article, we will discuss how far machine learning and AI have come and directly affected the improvement of voice technology. . How machine learning is improving voice technology. Finally, deep learning applies to speech recognition technology and is precise in everyday usage in any environment.

Machine Learning 101

Machine Learning Technology Deep Learning Marketing 101

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

O'Reilly on Data

FEBRUARY 18, 2020

After several years of steady climbing—and after outstripping Java in 2017—Python-related interactions now comprise almost 10% of all usage. 1] This article is based on non-personally-identifiable information about the top search terms and most-used topics on O’Reilly online learning. We’re appropriating them differently.

Data-driven 342

Data-driven Software Statistics Marketing 342

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. ” BTW, that Knuth article from 1983 was probably the first time that I ever saw the word “Web” used as a computer-related meaning. Introduction. BTW, videos for Rev2 are up: [link]. Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Occam's Razor

AUGUST 28, 2017

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). The first eye-opening learning for me came from the Google Research team’s post on Learning from Large-Scale Interaction.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Sisense

AUGUST 6, 2020

In this article, we’ll dig into the ways AI can help you accomplish these goals, allowing you and your team to envision the future of your product or service. Today, we’re developing AI in an era where data is treated as code, or at least as an extension of code, because the code alone cannot achieve deep learning without the data.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95