Cloudera

NOVEMBER 17, 2020

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection. a Hive Table).

Deep Learning 114

Deep Learning Machine Learning Modeling Reporting 114

KDnuggets

DECEMBER 11, 2019

We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

Deep Learning 80

Deep Learning Machine Learning Data Science Technology 80

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This blog post hopes to provide this foundational understanding. What is Machine Learning.

Machine Learning 98

Machine Learning Sales Data Science Modeling 98

Domino Data Lab

DECEMBER 3, 2021

Whether you are a machine learning enthusiast, or a ninja data scientist training models for all sorts of applications, you may have heard of the need to use graphical processing units (GPUs) , to squeeze the best performance when training and scaling your models. GPU acceleration is a topic we have previously addressed in the blog.

Machine Learning 72

Machine Learning Deep Learning Modeling 72

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 machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

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 72

Machine Learning Optimization Unstructured Data Sales 72

Domino Data Lab

JULY 10, 2019

New tools are constantly being added to the deep learning ecosystem. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

Rocket-Powered Data Science

JULY 6, 2023

These AI applications are essentially deep machine learning models that are trained on hundreds of gigabytes of text and that can provide detailed, grammatically correct, and “mostly accurate” text responses to user inputs (questions, requests, or queries, which are called prompts). Guess what? It isn’t.

Statistics 151

Statistics Deep Learning Machine Learning Modeling 151

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 86

Machine Learning Modeling Metadata Recreation/Entertainment 86

Analytics Vidhya

JANUARY 23, 2023

Introduction The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. This blog post will dive deep into the sigmoid function and explore its properties, applications, and implementation in code.

Machine Learning 333

Machine Learning Analytics IT Deep Learning 333

AWS Big Data

JUNE 1, 2023

The Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. In this blog post, we demonstrate how you can use DJL within Kinesis Data Analytics for Apache Flink for real-time machine learning inference.

Deep Learning 61

Deep Learning Data Analytics Analytics Machine Learning 61

CIO Business Intelligence

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

Cloudera

APRIL 10, 2021

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. .

Machine Learning 64

Machine Learning Modeling Cost-Benefit Data Science 64

CIO Business Intelligence

OCTOBER 13, 2023

Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

KDnuggets

SEPTEMBER 5, 2019

This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers.

Machine Learning 121

Machine Learning Deep Learning 121

Analytics Vidhya

FEBRUARY 19, 2023

Machine learning has become popular with the growth of fast food chains and the need for accurate and efficient food recognition systems. In this blog, we will explore the use of transfer learning for fast food classification using PyTorch.

Machine Learning 250

Machine Learning Analytics Deep Learning 250

Domino Data Lab

JUNE 14, 2022

In this blog post we share our experience from the BMS molecular translation challenge and show that CPU-based distributed learning can significantly shorten model training times. Translation between Skeletal formulae and InChI labels is a challenging image captioning problem, especially when it involves large amounts of noisy data.

Deep Learning 105

Deep Learning Modeling IT Machine Learning 105

Analytics Vidhya

APRIL 25, 2024

This blog post explores GhostFaceNets through captivating visuals and insightful illustrations, aiming to educate, motivate, and spark creativity. The journey is not just a blog post, but a unique exploration of […] The post GhostFaceNets: Efficient Face Recognition on Edge Devices appeared first on Analytics Vidhya.

Visualization 304

Visualization Modeling Technology Analytics 304

Data Science 101

NOVEMBER 29, 2019

Luckily, Amazon has come through with a flurry of machine learning announcements. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Preparing and Curating your data for Machine Learning A great video from Google. Announcements.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

Domino Data Lab

FEBRUARY 10, 2019

This blog post provides insights into why machine learning teams have challenges with managing machine learning projects. Why are Machine Learning Projects so Hard to Manage? I’ve watched lots of companies attempt to deploy machine learning? Why is this?

Machine Learning 63

Machine Learning Modeling Deep Learning Metrics 63

datapine

MAY 14, 2019

2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Best for: This best data science book is especially effective for those looking to enter the data-driven machine learning and deep learning avenues of the field. 4) “Machine Learning Yearning” by Andrew Ng.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

DataRobot Blog

FEBRUARY 14, 2022

Because our dataset contains image data, DataRobot used models that contain deep learning based image featurizers. Learn More About Explainable AI. Learn more. The post DataRobot Explainable AI: Machine Learning Untangled appeared first on DataRobot AI Cloud. Activation Maps.

Machine Learning 52

Machine Learning Metrics Sales Modeling 52

Domino Data Lab

JUNE 13, 2022

In this blog post we share our experience from the BMS molecular translation challenge and show that CPU-based distributed learning can significantly shorten model training times. Translation between Skeletal formulae and InChI labels is a challenging image captioning problem, especially when it involves large amounts of noisy data.

Deep Learning 52

Deep Learning Modeling IT Machine Learning 52

Insight

SEPTEMBER 20, 2019

In this blog, I’ll describe how this project uses segmentation to detect lesions in an image, and classification to detect whether those lesions are benign or malignant. Discussion In this project, I used deep learning techniques to automatically detect lesion regions and classify the lesion, which can have both cost and time-saving benefits.

Deep Learning 53

Deep Learning Cost-Benefit Testing Modeling 53

KDnuggets

MARCH 17, 2022

In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.

Deep Learning 133

Deep Learning Data Science IT Machine Learning 133

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

Analytics Vidhya

FEBRUARY 7, 2024

This blog will explore the ins and outs of creating stunning scatter Plot Visualization in Python using matplotlib. Introduction Scatter plots are a powerful tool in a data scientist’s arsenal, allowing us to visualize the relationship between two variables.

Visualization 294

Visualization Analytics Deep Learning Machine Learning 294

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 72

Deep Learning Experimentation Machine Learning Risk 72

Analytics Vidhya

JANUARY 17, 2024

In this blog post, we’ll delve into the intricacies of the SQL DATEDIFF function, exploring its syntax, use cases, and […] The post SQL DATEDIFF function appeared first on Analytics Vidhya. Introduction Structured Query Language (SQL) is a powerful tool for managing and manipulating relational databases.

Management 279

Management Analytics IT Deep Learning 279

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

Analytics Vidhya

OCTOBER 20, 2023

In this blog post, we’ve compiled an extensive list of questions from the GATE DA sample papers to empower your […] The post Sample Question Paper for GATE DA 2024 appeared first on Analytics Vidhya. Introduction GATE 2024 aspirants, here’s some great news for you!

Analytics 327

Analytics Deep Learning Machine Learning Data Science 327

Analytics Vidhya

DECEMBER 30, 2023

In this blog post, we’ll explore six powerful IDEs that cater to Rust developers, offering various features to streamline coding, debugging, and overall […] The post Navigating the Rust Ecosystem: A Guide to 6 Top-notch IDEs for Rust Programming appeared first on Analytics Vidhya.

Analytics 286

Analytics IT Deep Learning Machine Learning 286

IBM Big Data Hub

MAY 9, 2023

By empowering employees with automation and AI technologies like machine learning , deep learning , and natural language processing , IT organizations can narrow skills gaps and enable developers to write quality code with greater efficiency. This statement replaces all prior statements on this topic.

IT 92

IT Deep Learning Machine Learning Modeling 92

Analytics Vidhya

SEPTEMBER 13, 2023

This blog is about “Artificial Intelligence and the Aesthetics of Image Generation,” it looks into the technical aspects of AI-powered artistic expression like Neural Style Transfer and Generative Adversarial Networks (GANs).

Technology 321

Technology Analytics IT Deep Learning 321

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

IBM Big Data Hub

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer.

Deep Learning 60

Deep Learning Cost-Benefit Insurance Machine Learning 60