datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. provides the user with visualizations, code editor, and debugging. Let’s get started. Exclusive Bonus Content: Download Our Free Data & Science Checklist!

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

DataRobot

OCTOBER 20, 2021

Individuals interacting with AI systems should possess a baseline data literacy, especially in high-risk use cases that require human collaboration at the final decision-making stage. Data literacy is the ability to understand data science and AI applications critically using basic data visualization, communication, and reasoning skills.

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

FineReport

DECEMBER 19, 2019

At the same time, it also advocates visual exploratory analysis. The visualization component library of FineReport is very rich. In addition, Jupyter Notebook is also an excellent interactive tool for data analysis and provides a convenient experimental platform for beginners. It is recommended that everyone learn to learn.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Domino Data Lab

JULY 28, 2021

It is the job of a data scientist to navigate these subtle differences, pick the model that aligns best with the problem statement, optimize and monitor performance and translate the findings back into a business context. These changes often personify themselves as square roots, lambdas or inverted matrices. Computer Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Domino Data Lab

SEPTEMBER 9, 2019

Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? The displaCy library provides an excellent way to visualize named entities: In [15]: displacy.render(doc, style="ent"). lemma – a root form of the word. part of speech. Out[14]: Steve Jobs PERSON?

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Jen Stirrup

MAY 5, 2020

You can also use Azure Data Lake storage as well, which is optimized for high-performance analytics. You can use Visual Studio, which is a home for many developers. You can also use familiar languages, such as Python, R, Scala, JavaScript and code in Visual Studio. You can use Eclipse technology, Jupyter and Zeppelin.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Business Over Broadway

DECEMBER 20, 2018

Using Predictive Analytics and Artificial Intelligence to Improve Customer Loyalty – As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Domino Data Lab

AUGUST 29, 2019

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. Essential Theory of Reinforcement Learning.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Domino Data Lab

JULY 28, 2021

Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions. In fact, deep learning was first described theoretically in 1943. Reinforcement learning focuses on optimizing a specific decision. None of these techniques are new.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

bridgei2i

DECEMBER 15, 2021

With significant adoption among industries as well as personal lives, AI is impacting enterprise transformation at scale, whilst changing the way humans interact with machines. Videos uploaded on streaming sites usually include detailed information about the visuals such as descriptions, emotions, and nature of the show.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

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

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Insight

MARCH 28, 2019

Visualize Glassdoor reviews from your dream companies Yanxia Li built CompanySnapshot, a tool to help individuals visualize Glassdoor employee reviews, reducing the time needed to thoroughly review a company’s Glassdoor profile. After his time at Insight, John was hired by Deep Macro as a data scientist. CompanySnapshot?—?Visualize

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

Domino Data Lab

JULY 9, 2019

Here is a picture of The New York Times on its birthday in 1851, and for the vast majority of its lifespan this is pretty much what the user experience of interacting with The New York Times looks like. or are you looking for me to help you decide on what is the optimal treatment in order to get the outcome you want?”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

IBM Big Data Hub

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. A semi-supervised learning model might use unsupervised learning to identify data clusters and then use supervised learning to label the clusters.

Machine Learning 82

Machine Learning Modeling Deep Learning Predictive Modeling 82

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. They’d like to do something more efficient when they’re training a lot of deep learning models.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JUNE 23, 2019

This talk will describe how you can navigate all these challenges that you’re going to face and build a business where every product interaction benefits from your investment in machine learning. It used deep learning to build an automated question answering system and a knowledge base based on that information.

Management 110

Management Machine Learning Experimentation Metrics 110

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. Developers and software architects had questions about rewriting, refactoring, or optimizing their code to address these same concerns. 3] ML and AI aren’t in any sense the same thing, either.

Data-driven 335

Data-driven Software Statistics Marketing 335

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

Alation

APRIL 14, 2022

Visual Profiling. Supports the ability to interact with the actual data and perform analysis on it. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Parametrization. A technique to automate changes in iterative passes. Pattern Matching. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

CIO Business Intelligence

SEPTEMBER 6, 2023

New digital tools, for example, further enable production employees to optimize processes and quality management in the long term. In total, employees have access to more than 40,000 courses on data and AI qualifications on various external learning platforms. AI is intended to improve and facilitate the day-to-day work of employees.

Digital Transformation 109

Digital Transformation Interactive Machine Learning Deep Learning 109