O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms. Deep Learning.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Smart Data Collective

JUNE 4, 2021

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. Deep learning is used for speech recognition, board games AI, image recognition, and manipulation. Publish Articles.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Data Science 101

APRIL 29, 2019

This article covers some tips for just that. Tukey, Design Thinking, and Better Questions – In short, spend some time trying to optimize the question Faster multiplication – 2 mathematicians discovered a technique to multiply numbers in O(n log n) time.

Data Science 81

Data Science Deep Learning Software Machine Learning 81

CIO Business Intelligence

JUNE 1, 2022

These supercomputers power exciting innovations in deep learning, disease control, and physics—think bionic eyes, DNA sequencing for infectious disease research, and the study of time crystals. . CSIRO’s Bracewell Delivers Deep Learning, Bionic Vision. Ready to evolve your analytics strategy or improve your data quality?

Deep Learning 105

Deep Learning Snapshot Optimization Data Quality 105

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 data science? Machine learning and deep learning are both subsets of AI.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. 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

Smart Data Collective

APRIL 3, 2020

Big data is driving a number of changes in the business community. Some of the benefits of big data incredibly obvious. However, there are also a lot of other benefits big data creates that don’t get as much publicity. Big Data is the Future of Giveaway Offerings. Chatbots for Giveaways.

Big Data 79

Big Data Data-driven Data mining Software 79

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers).

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

Rocket-Powered Data Science

JULY 6, 2023

In our earlier article, we discussed “ AI Readiness is Not an Option.” In this article here, we offer some considerations for enterprise AI to add to those strategic conversations. Here is my list: [ continued reading the full article here ] [link] protecting enterprise leaders from getting out too far over their skis).

Enterprise 184

Enterprise Technology IT Deep Learning 184

Domino Data Lab

MARCH 11, 2021

Companies can choose to build their own custom machine learning framework, but most organizations choose an existing framework that fits their needs. In this article, we’ll show key considerations for selecting the right machine learning framework for your project and briefly review four popular ML frameworks.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Rocket-Powered Data Science

JULY 6, 2023

For a short introduction to generative AI, see my article “ Generative AI – Chapter 1, Page 1 ”. The AI conversations, especially in technical circles, have focused intensively on generative AI, the creation of written content, images, videos, marketing copy, software code, speeches, and countless other things.

Strategy 153

Strategy Enterprise Software Marketing 153

Smart Data Collective

JUNE 22, 2023

Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 One such field is data labeling, where AI tools have emerged as indispensable assets. trillion by 2032.

Machine Learning 91

Machine Learning Deep Learning Data Quality Modeling 91

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

Sisense

APRIL 10, 2020

We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Nowadays text data is huge, so Deep Learning also comes into the picture. R libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A Final Word.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Structured Data 139

Cloudera

NOVEMBER 16, 2017

Cloudera Data Science Workbench (CDSW) is a self-service collaboration platform for data scientists. It offers: Secure access to Cloudera data. GPU acceleration for deep learning on demand. For more detail on user monitoring, read this article on the Cloudera Engineering Blog. On-demand compute.

Data Science 40

Data Science Deep Learning Big Data Software 40

O'Reilly on Data

JUNE 18, 2019

These data sets are often siloed, incomplete, and extremely sparse. 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). See this article on data integration status for details.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

IBM Big Data Hub

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. in 2022 and it is expected to be hit around USD 118.06

Risk 70

Risk Deep Learning Metadata Modeling 70

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors.

Experimentation 80

Experimentation Modeling Deep Learning Data-driven 80

Smart Data Collective

JANUARY 10, 2021

This article will explore the ways in which AI technology can help your startup business succeed. It can also be referred to as machine learning, cognitive computing, or deep learning. Artificial intelligence or AI is beginning to have a large impact on businesses of all sizes. What is Artificial Intelligence?

Sales 89

Sales Marketing Deep Learning Big Data 89

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. In this article we will list 10 things AWS can do for your SaaS company. This article finally gets to the core question we started with: what can AWS do for your SaaS business? Data storage databases.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI technology in commerce—such as deploying deep learning models trained on inadequate or inappropriate data—lead to bad experiences that alienate both consumers and businesses.  The applications of AI in commerce are vast and varied.

B2B 70

B2B Interactive Optimization Forecasting 70

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smart Data Collective

FEBRUARY 26, 2023

In this article, we take a look at what the AI software development landscape looks like in 2023. Tewari pointed out that “OpenAI’s GPT-3 or similar autoregressive language models that use deep learning to create human-like text.” Programming salaries routinely rank among the top 10-15% in the United States.

Software 98

Software Internet of Things IoT Deep Learning 98

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 60

Deep Learning Machine Learning Unstructured Data Modeling 60

Rocket-Powered Data Science

DECEMBER 15, 2018

In deep learning, as in typical neural network models, the method by which those adjustments to the model parameters are estimated ( i.e., for each of the edge weights between the network nodes) is called backpropagation. Check out these articles related to this challenge: The Cold Start Problem for Recommender Systems.

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

IBM Big Data Hub

JUNE 14, 2023

Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. You need to collect, curate, and annotate data for any specific task you want to perform. Answer questions about an article or dynamic content. That sounds like a joke, but we’re quite serious.

Modeling 91

Modeling Data Lake Enterprise Deep Learning 91

Smart Data Collective

SEPTEMBER 19, 2019

Big data is very useful in assisting these people. There are other elements of speech synthetization technology that rely on machine learning. The Machine Learning Technology That Drives TTS. They talked about two very important machine learning approaches: Parametric TTS and Concatenative TTS.

Machine Learning 82

Machine Learning Technology Deep Learning Predictive Modeling 82

FineReport

DECEMBER 19, 2019

Generally, companies will store data in local databases or public clouds. and others will use big data storage format like HBase and Parquet. I will recommend beginners to learn SQL well, and then get to know about HBase and Parquet as needed. Alright, that ’s it for today ’s introduction of data analysis tools.

Knowledge Discovery 98

Knowledge Discovery Visualization Reporting Experimentation 98

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.” The result will be unusable if a user prompts the model to write a factual news article.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

Domino Data Lab

JULY 28, 2021

Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. 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.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

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. In other words, #adulting. Cynical Perspectives.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

Deep Learning 65

Deep Learning Forecasting Machine Learning Strategy 65

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. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

FineReport

OCTOBER 21, 2019

BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. In this article, I compared the top 5 BI tools of 2019 based on the overall ease-of-use, BI features, and the price. Pro: Support Multiple Data Sources . Big Data Platform .

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

Domino Data Lab

JULY 22, 2019

Greg Linden ‘s article about splitting the website on Amazon. That leads to what Andrew Ng has famously called “the virtuous cycle of data.” That was the origin of big data. Data governance on big data, that was starting to happen. Some for big data, some for data warehouses, etc.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Rocket-Powered Data Science

MAY 21, 2024

See additional references and resources at the end of this article. A Data Platform for AI Data is the fuel for AI, because AI devours data—finding patterns in data that drive insights, decisions, and action. In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g.,

Cost-Benefit 225

Cost-Benefit Unstructured Data Enterprise Technology 225