Jen Stirrup

MAY 5, 2020

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. Apache Spark also allows you to do Machine Learning, streaming analytics, interactive querying, and also data visualization, as well.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

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

Corinium

JUNE 6, 2019

The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting. Newer methods can work with large amounts of data and are able to unearth latent interactions. There are three strong trends in Visual Analytics.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. Favorite Data Science and Machine Learning Blogs, Podcasts and Newsletters – In a worldwide survey, over 16,000 data professionals were asked to indicate their favorite data science blogs, podcasts and newsletters.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. Here’s a preview of what you can leverage with one click in CML: Deep Learning for Anomaly Detection.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. This often overwhelms traditional visualization tools and methods. Figure 1 – Map built with CARTO Builder and the native support to visualize H3 indexes What are spatial indexes?

Data Warehouse 87

Data Warehouse Visualization Cost-Benefit Optimization 87

IBM Big Data Hub

DECEMBER 15, 2023

Not to mention the numerous applications and media services, including companies like Netflix and Spotify, that merge open-source AI with proprietary solutions, employing machine learning libraries like TensorFlow or PyTorch to enhance recommendations and boost performance.

Deep Learning 73

Deep Learning Experimentation Machine Learning Risk 73

CIO Business Intelligence

SEPTEMBER 19, 2023

At Estée Lauder , the company has released a voice-enabled makeup assistant designed to assist visually impaired people with applying makeup. AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Smarten

APRIL 19, 2024

Vendors, service providers and analytics solution companies will package data products and design data management solutions to support business users in their interaction with suppliers, customers and stakeholders, and to inform and support customers and end users as they choose products and options.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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 58

B2B Interactive Optimization Forecasting 58

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! Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

AWS Big Data

MARCH 1, 2023

Finally, to interact with and visualize results from our solution, we build an interactive Streamlit web application running on AWS Fargate. Finally, an interactive Streamlit web application is deployed with Fargate. Taylor McNally is a Deep Learning Architect at Amazon Machine Learning Solutions Lab.

Data Lake 83

Data Lake Deep Learning Modeling Interactive 83

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

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

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

CIO Business Intelligence

JUNE 22, 2022

In the face of emerging and disruptive technology, there is a need to transform your business processes and your interaction with your customers digitally. Drive insight with data-driven visualization. To learn more, click here. This is the essence of digital transformation — to become a digital leader. IT Leadership

Digital Transformation 97

Digital Transformation Visualization Technology Marketing 97

Domino Data Lab

JULY 15, 2021

Originally created for software development, Python is used in a variety of contexts, including deep learning research and model deployment. RStudio is an IDE for the R language used primarily for statistical analysis as well as data visualization. Some common IDEs are RStudio and Jupyter Notebook.

Data Science 145

Data Science Visualization Modeling Enterprise 145

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? Usually it’s human-generated text, but not always. part of speech.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Domino Data Lab

JULY 28, 2021

Data scientists have to work with different types of data, interact with different types of computer systems, program in various languages, work in different development environments and stitch all of their work together across the entire data science lifecycle. Computer Science Skills. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

APRIL 18, 2024

While AGI promises machine autonomy far beyond gen AI, even the most advanced systems still require human expertise to function effectively. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. The AGI research field is constantly evolving.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 82

Machine Learning Modeling Deep Learning Predictive Modeling 82

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

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

JUNE 26, 2023

These techniques utilize various machine learning (ML) based approaches. We use Amazon Neptune to visualize the customer data before and after the merge and harmonization. Jupyter notebooks are web-based interactive platforms. Run Steps 1–5 in the notebook to analyze and visualize the raw insurance data.

Insurance 77

Insurance Visualization Data Lake Metrics 77

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. The most commonly used techniques today are under the umbrella of machine learning.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. For every piece of processed content, RED visualizes the corresponding stock price fluctuation on a timeline, enabling users to quickly spot any immediate correlations between events and price changes.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. Within DataRobot, each model created in the model leaderboard contains a feature impact visualization, which makes use of a mathematical technique called permutation importance to measure variable importance.

Risk 52

Risk Modeling Metrics Business Objectives 52

Analytics Vidhya

MARCH 15, 2023

One of the most notable breakthroughs is ChatGPT, which is designed to interact with users through conversations, maintain the context, handle follow-up questions, and correct itself. However, ChatGPT is limited in processing visual information since it’s trained with a single language modality.

Visualization 317

Visualization Interactive Modeling Analytics 317

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Be aware that machine learning often involves working on something that isn’t guaranteed to work.

Management 110

Management Machine Learning Experimentation Metrics 110

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. Cloudera has seen a lot of opportunity to extend even more time saving benefits specifically to data scientists with the debut of Applied Machine Learning Prototypes (AMPs). The answer is a resounding no.

Machine Learning 75

Machine Learning Deep Learning Cost-Benefit Forecasting 75

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. He also really informed a lot of the early thinking about data visualization.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Newer work in machine learning (e.g., We keep feeding the monster data.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Insight

DECEMBER 30, 2019

Once these features have been extracted from the image, they can be fed into any machine learning algorithm (e.g. support vector machine) for object detection or another computer vision task. Take a look at this animation from Wikipedia to visualize what is happening: Figure 3?—?animation a “warped wall detector.”

Visualization 72

Visualization Modeling Machine Learning IT 72

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