CIO Business Intelligence

SEPTEMBER 29, 2023

Relevant job roles include machine learning engineer, deep learning engineer, AI research scientist, NLP engineer, data scientists and analysts, AI product manager, AI consultant, AI systems architect, AI ethics and compliance analyst, among others.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

Dataiku

MARCH 25, 2024

Moreover, M-LLMs adeptly answer questions about visual content, aiding in tasks like image recognition and scene understanding. In this blog post, we delve into the workings of M-LLMs, unraveling the intricacies of their architecture, with a particular focus on text and vision integration.

Visualization 132

Visualization Modeling Experimentation Testing 132

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. Deep Learning on Imagery and Text. Deep Learning on Imagery. So how does representation learning in DL work?

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

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. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Data Science and Beyond

JULY 5, 2015

This page summarises the deep learning resources I’ve consulted in my album cover classification project.

Deep Learning 40

Deep Learning Consulting Optimization Visualization 40

CIO Business Intelligence

OCTOBER 13, 2023

Deep learning engineer Deep learning engineers are responsible for heading up the research, development, and maintenance of the algorithms that inform AI and machine learning systems, tools, and applications.

Deep Learning 142

Deep Learning Machine Learning Modeling Software 142

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We covered different ways of measuring model efficiency and showed ways to visualize this and select models based on it. Conclusion. What’s Next?

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

datapine

MAY 14, 2019

We gave you a curated list of our top 15 data analytics books , top 18 data visualization books , top 16 SQL books – and, as promised, we’re going to tell you all about the world’s best books on data science. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. click for book source**.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Cloudera

JULY 27, 2021

Understanding the technologies underlying these examples – both what they can do, and how they work – relied heavily on exploration and visualization. Or we can write interactive, explanatory content, as in Object detection inference visualized. Exploring how inference works in RetinaNet for object detection.

Data Science 115

Data Science Enterprise Experimentation Machine Learning 115

Cloudera

OCTOBER 26, 2022

Deep Learning for Anomaly Detection : ?? Apply modern, deep learning techniques for anomaly detection to identify network intrusions. Deep Learning for Image Analysis : Build a semantic search application with deep learning models. AMPs so far include: . AMP hackathon.

Machine Learning 76

Machine Learning Deep Learning Cost-Benefit Forecasting 76

Cloudera

FEBRUARY 25, 2021

The work of a machine learning model developer is highly complex. They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. 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

Sisense

APRIL 10, 2020

It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

IBM Big Data Hub

SEPTEMBER 19, 2023

It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code. Learn more about the difference between low-code and no-code Generative AI for code software, on the other hand, doesn’t use templates and libraries of components.

Software 81

Software IT Visualization Deep Learning 81

IBM Big Data Hub

JANUARY 11, 2024

Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators. Fortunately, production-oriented AI research was going on for years before ChatGPT arrived.

Digital Transformation 101

Digital Transformation Modeling Deep Learning Visualization 101

IBM Big Data Hub

DECEMBER 15, 2023

PyTorch is an open-source AI framework offering an intuitive interface that enables easier debugging and a more flexible approach to building deep learning models. It is a popular choice among researchers and developers for rapid software development prototyping and AI and deep learning research.

Deep Learning 65

Deep Learning Experimentation Machine Learning Risk 65

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

Analytics Vidhya

FEBRUARY 4, 2023

This blog post will teach you how to build a real estate price prediction model from start to finish. Get ready to learn about data collection and analysis, model selection, and […] The post How to Build a Real Estate Price Prediction Model?

Predictive Modeling 263

Predictive Modeling Modeling Data Collection Analytics 263

IBM Big Data Hub

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. This allows intelligent machines to identify and classify objects within images and video footage.

Machine Learning 69

Machine Learning Deep Learning Interactive Modeling 69

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. In this blog post, we describe how we impose common-sense “shape constraints” on complex models.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Analytics Vidhya

DECEMBER 10, 2021

From the latest developments to guiding people through the thorns of career, Analytics Vidhya has it all in its blog archives. Introduction Analytics Vidhya has been at the helm when it comes to publishing high-quality content since the beginning of its inception.

Data Science 300

Data Science Publishing Analytics IT 300

Cloudera

SEPTEMBER 20, 2022

This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Introduction. Scope, motivation, and benefits.

Deep Learning 87

Deep Learning Cost-Benefit Risk Data-driven 87

Perceptual Edge

DECEMBER 27, 2017

I’ve ended my public Visual Business Intelligence Workshops and quarterly Visual Business Intelligence Newsletter , in part, to make time for other ventures. You have perhaps noticed that here, in my Perceptual Edge blog articles, I sometimes veer from data visualization to reflect my broader interests. Deep learning.

Deep Learning 48

Deep Learning Visualization Business Intelligence Technology 48

IBM Big Data Hub

MAY 17, 2023

Additionally, DaaS has the potential to leverage smart technologies such as IoT, sensors, 5G, edge analytics and machine learning to improve the monitoring and visualization of assets operations. DaaS leverages IBM® Maximo® Visual Inspection and puts the power of AI computer vision into the hands of subject matter experts.

Data Collection 77

Data Collection Visualization Data-driven Unstructured Data 77

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Download the 2021 DataOps Vendor Landscape here. Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. In the `First_Exploration.ipynb` we also leverage `cuXfilter`, a RAPIDS-accelerated cross filtering visualization library for some of the charts. Introduction.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. Python is the most common programming language used in machine learning.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

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. Contact us today.

Data Science 145

Data Science Visualization Modeling Enterprise 145

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. Ribeiro, M.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

IBM Big Data Hub

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

Machine Learning 65

Machine Learning Optimization Unstructured Data Sales 65

Cloudera

FEBRUARY 1, 2022

In this blog we’ll dig into how the Deep Learning for Image Analysis AMP can be reused to find snowflakes that are less similar to one another. According to its description, Deep Learning for Image Analysis is an AMP that “demonstrates how to build a scalable semantic search solution on a dataset of images.”

Deep Learning 109

Deep Learning Machine Learning Modeling Data Science 109

AWS Big Data

JUNE 26, 2023

We use Amazon Neptune to visualize the customer data before and after the merge and harmonization. We use Neptune to visualize the customer data before and after the merge and harmonization to see how the transform FindMacthes can bring all related customer data together to get a complete customer 360 view.

Insurance 81

Insurance Visualization Data Lake Metrics 81

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

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. Finally, Business Intelligence tools visualize the results to end-users. Decision Trees are easy to understand and visualize.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

Smarten

OCTOBER 18, 2023

Recent research reveals that deep learning model training resources have doubled every 3.4 The number of parameters is unknown but this version has the capacity to handle more complex problems and analysis and to analyze visual images.

Consulting 52

Consulting Digital Transformation Software Deep Learning 52

Domino Data Lab

JULY 28, 2021

To model anything highly technical and computationally — machine learning, deep learning, big data analytics, and natural-language processing, to name a few — code-based tools (such as R and Python) are usually preferred. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110