O'Reilly on Data

MAY 21, 2019

This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning

Analytics Vidhya

JUNE 26, 2019

DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.

Machine Learning

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

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

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). IBM Watson NLU.

Deep Learning

Corinium

JUNE 6, 2019

A playbook for this is to run multiple experiments in parallel and create ‘MVPs’ (fail/learn fast), as well as incorporate feedback mechanisms to enable an improvement loop, and scaling the ones that show the fastest path to ROI. Fractal’s 2018 Net Promoter Score is greater than 70.

Analytics

Business Over Broadway

DECEMBER 20, 2018

All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, artificial intelligence and machine learning tools and methods that are commonly used and even a post on the problems with the Net Promoter Score claims.

Machine Learning

O'Reilly on Data

MARCH 20, 2019

Watermarking is a term borrowed from the deep learning security literature that often refers to putting special pixels into an image to trigger a desired outcome from your model. A lot of the contemporary academic machine learning security literature focuses on adaptive learning, deep learning, and encryption.

Modeling

Data Science 101

MARCH 6, 2019

Luckily, a few of them are willing to share data science, machine learning and deep learning materials online for everyone. Here is just I small list I have come across lately.

Data Science

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. You may also remember UMBC from the miracle at the 2018 NCAA Tournament.) Deep Learning on Imagery and Text. Introduction.

Deep Learning

Rocket-Powered Data Science

DECEMBER 16, 2018

Learn more about meta-learning from these resources: “ From zero to research — An introduction to Meta-learning “ “ What’s New in Deep Learning Research: Understanding Meta-Learning “ “ Learning to Learn “ Meta Learning presentation.

Machine Learning

CIO Business Intelligence

SEPTEMBER 7, 2022

The third layer, Cropin Intelligence, uses the company’s 22 prebuilt AI and deep-learning models to provide insights about crop detection, crop stage identification, yield estimation, irrigation scheduling, pest and disease prediction, nitrogen uptake, water stress detection, harvest date estimation, and change detection, among others.

B2B

Domino Data Lab

JULY 2, 2019

AutoPandas was created at UC Berkeley RISElab and the general idea is described in the NeurIPS 2018 paper “ Neural Inference of API Functions from Input–Output Examples ” by Rohan Bavishi, Caroline Lemieux, Neel Kant, Roy Fox, Koushik Sen, and Ion Stoica. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01).

Metadata

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. Likewise, 2018 was the year of virtual assistants: Alexa, Cortana, all of them have taken the consumers’ market by storm.

Technology

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. Here is another form of wisdom : [link] — the RapidMiner Wisdom conference.

Machine Learning

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. The TIOBE index confirms that the popularity of Python is increasing.

Data Science

CIO Business Intelligence

DECEMBER 1, 2023

LexisNexis has been playing with BERT, a family of natural language processing (NLP) models, since Google introduced it in 2018, as well as Chat GPT since its inception. But perhaps the biggest benefit has been LexisNexis’ ability to swiftly embrace machine learning and LLMs in its own generative AI applications.

Cost-Benefit

Domino Data Lab

MARCH 16, 2021

2018) Simple meaningless data processing steps, may cause saliency methods to result in significant changes (Kindermans et al., DeepLIFT was recently proposed as a recursive prediction explanation method for deep learning [8, 7]. Saliency maps may also be vulnerable to adversarial attacks (Ghorbani et al., Saliency Maps.

Modeling

CIO Business Intelligence

APRIL 25, 2023

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). What is ChatGPT? ChatGPT is a product of OpenAI.

Experimentation

Domino Data Lab

JANUARY 20, 2019

What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? TCAV “uses directional derivatives to quantify the degree to which a user-defined concept is important to a classification result” ( Kim et al 2018 ). MLConf 2018. Introduction.

Testing

Cloudera

NOVEMBER 25, 2021

With the introduction of ML and Deep Learning (DL), it is now possible to build AI systems that have no ethical considerations at all. This often leads to clearer links between rules and unethical outcomes. . An unconstrained AI system will be optimised for whatever its output is.

Insurance

Smart Data Collective

FEBRUARY 24, 2021

Tomorrow Sleep was launched in 2017 as a sleep system startup and ventured on to create online content in 2018. eBay then decided to employ Phrasee – an AI-powered copywriting tool that uses natural language generation and deep learning. Tomorrow Sleep Achieved 10,000% Increase in Web Traffic.

Machine Learning

CIO Business Intelligence

APRIL 17, 2024

Sandra Castillo, senior scientist and computational biologist at Finland research organization VTT, is using gen AI to design new protein sequences based on what can be learned from nature. The new sequences are then tested at the VTT lab by using E. coli or other bacterial hosts to express the proteins.

Enterprise

CIO Business Intelligence

JULY 22, 2025

This wasn’t about teaching deep learning, but about maintaining infrastructure that doesn’t break when an AI tool plugs in.” “We’ve trained our team on container management and basic model orchestration so they can support AI tools without feeling like they’re flying blind,” he says.

Machine Learning

Domino Data Lab

SEPTEMBER 9, 2019

It’s important to note that machine learning for natural language got a big boost during the mid-2000’s as Google began to win international language translation competitions. The use cases for natural language have shifted dramatically over the past two years, after deep learning techniques arose to the fore.

Deep Learning

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. I’ve also dabbled in deep learning , marine surveys , causality , and other things that I haven’t had the chance to write about.

Data Science

Smart Data Collective

MAY 17, 2021

billion in 2018. A fleet must be outfitted with these technologies to benefit, whether natively or after the fact using add-on solutions. Organizations have already realized this. The global IoT fleet management market is expected to reach $17.5 billion by the end of 2025 , up from $3.8

Big Data

CIO Business Intelligence

MAY 1, 2024

Derek Driggs, ricercatore di ML presso l’Università di Cambridge, insieme ai suoi colleghi, ha pubblicato un articolo su Nature Machine Intelligence [in inglese] che esplorava l’uso di modelli deep learning per diagnosticare il virus. Il documento ha stabilito che la tecnica non è adatta all’uso clinico.

Software

CIO Business Intelligence

JUNE 15, 2022

Pionnier de l’apprentissage profond – qui consiste à simuler le fonctionnement du cerveau en construisant des réseaux de neurones artificiels – ce professeur de l’Université de Montréal décrochait en 2018 le prix Turing, le « Nobel de l’informatique ». Artificial Intelligence, Deep Learning

Finance

CIO Business Intelligence

MAY 30, 2024

Most recently, she has served as EVP and chief customer and technology officer at Ameren, which she joined 2018 as SVP and chief digital and information officer before adding customer experience and operations in 2023. It has been around since the 1950s with machine learning.

Data Quality

CIO Business Intelligence

APRIL 11, 2022

That wasn’t a fluke either, as the 2019 numbers were four times higher than 2018. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). That means companies need to be able to process more transactions faster with greater accuracy.

Deep Learning

CIO Business Intelligence

AUGUST 21, 2024

Starting in 2018, the agency used agents, in the form of Raspberry PI computers running biologically-inspired neural networks and time series models, as the foundation of a cooperative network of sensors. But the evolution of AI means that agentic systems can now be used for a wider variety of problems.

Risk

Domino Data Lab

APRIL 3, 2019

Plus it’s well-nigh time for “machine learning natives” to jump into the dialog about DG. So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. More Policies Emerged” (2010-2018). We keep feeding the monster data.

Machine Learning

Insight

FEBRUARY 13, 2019

He is currently a machine learning engineer at Casetext where he works on natural language processing for the legal industry. In late 2018, Google open-sourced BERT, a powerful deep learning algorithm for natural language processing. Prior to Insight, he was at IBM Watson.

Testing

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). The data types used in deep learning are interesting. The data types used in deep learning are interesting. One-fifth use reinforcement learning.

Data Science

Business Over Broadway

SEPTEMBER 5, 2018

Their first challenge, the 2018 Call for Code Global Challenge , is a competition that asks developers to create solutions to reduce the deleterious impact of natural disasters on human lives, health, and wellbeing by improving the current state of natural disaster preparedness. Participants have the chance to win cash prizes.

Data Science

Domino Data Lab

FEBRUARY 10, 2019

Humans likely not even notice the difference but modern deep learning networks suffered a lot. But apparently, models trained on text from 2017 experience degraded performance on text written in 2018. Machine Learning requires lots and lots of relevant training data. We might expect that.

Machine Learning