Analytics Vidhya

FEBRUARY 12, 2024

Introduction In data analysis, creating visual representations is key to understanding and communicating insights effectively. This article will dive into ggplot’s features and why it’s such a valuable tool for visualizing data […] The post ggplot in Python: A Data Visualization Guide appeared first on Analytics Vidhya.

Visualization 290

Visualization Analytics IT Deep Learning 290

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 319

Data Science Data Lake Data mining Deep Learning 319

Analytics Vidhya

JULY 25, 2022

Introduction Computer Vision Is one of the leading fields of Artificial Intelligence that enables computers and systems to extract useful information from digital photos, movies, and other visual inputs. It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […].

Deep Learning 295

Deep Learning Machine Learning Visualization Data Science 295

Analytics Vidhya

MAY 25, 2023

Enter autoencoders, deep learning‘s hidden heroes. Autoencoders have transformed the field of machine learning by revealing hidden patterns, lowering dimensionality, identifying abnormalities, and even […] The post Unleashing the Power of Autoencoders: Applications and Use Cases appeared first on Analytics Vidhya.

Deep Learning 283

Deep Learning Machine Learning Data-driven Analytics 283

CIO Business Intelligence

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. How to choose the right ML Framework.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Analytics Vidhya

APRIL 15, 2024

Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor performance on new data. This phenomenon is especially prevalent in complex neural architectures, which can model intricate relationships.

Deep Learning 328

Deep Learning Modeling Analytics Machine Learning 328

Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning?

Machine Learning 133

Machine Learning Data mining Visualization Statistics 133

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 57

Machine Learning Data Science Statistics Deep Learning 57

KDnuggets

NOVEMBER 9, 2022

7 Tips To Produce Readable Data Science Code • 30 Resources for Mastering Data Visualization • 15 More Free Machine Learning and Deep Learning Books • Simple and Fast Data Streaming for Machine Learning Projects • The AI Education Gap and How to Close It.

Visualization 95

Visualization Data Science Deep Learning Machine Learning 95

DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. Who Can Benefit from the Visual Data?

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

O'Reilly on Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. If you’re using Python and deep learning libraries, the CleverHans and Foolbox packages can also help you debug models and find adversarial examples. 2] The Security of Machine Learning. [3]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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 69

Machine Learning Optimization Unstructured Data Sales 69

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. model_definition_file./model_definition.yaml.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

KDnuggets

OCTOBER 10, 2022

It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets. The only cheat you need for a job interview and data professional life.

Data Science 159

Data Science Deep Learning Statistics Machine Learning 159

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

Analytics Vidhya

MARCH 30, 2022

Introduction AI and machine vision, which were formerly considered futuristic technology, has now become mainstream, with a wide range of applications ranging from automated robot assembly to automatic vehicle guiding, analysis of remotely sensed images, and automated visual inspection. Computer vision and deep learning […].

Deep Learning 268

Deep Learning Visualization Data Science Publishing 268

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

Analytics Vidhya

APRIL 16, 2024

This innovative AI merges visual understanding with advanced language skills, allowing it to handle visual and textual data effectively. Introduction The introduction of Grok-1.5V represents a major step forward in artificial intelligence, featuring a new multimodal AI system developed by Elon Musk and his team at x.AI.

Visualization 285

Visualization Modeling Analytics IT 285

KDnuggets

MARCH 23, 2022

Create, version-control, query, and visualize image, audio, and video datasets using Hub 2.0 by Activeloop.

Deep Learning 98

Deep Learning Management Visualization Machine Learning 98

Analytics Vidhya

APRIL 24, 2024

Adobe Firefly Image 3 enables you to generate high-resolution, actual images or visual diagrams by giving its explanation in a text message. Introduction The world of AI-powered image generation is growing quickly, and Adobe Firefly Image 3 is at the forefront.

Visualization 312

Visualization Software Marketing Analytics 312

Analytics Vidhya

APRIL 25, 2024

This blog post explores GhostFaceNets through captivating visuals and insightful illustrations, aiming to educate, motivate, and spark creativity. Introduction GhostFaceNets is a revolutionary facial recognition technology that uses affordable operations without compromising accuracy.

Visualization 306

Visualization Modeling Technology Analytics 306

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It culminates with a capstone project that requires creating a machine learning model.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Analytics Vidhya

FEBRUARY 27, 2024

Introduction Visual presentations are indispensable for effective communication. Importance of Visual Presentations Visual […] The post 7 Tools to Create Engaging Presentations appeared first on Analytics Vidhya.

Visualization 283

Visualization Analytics Deep Learning Machine Learning 283

Analytics Vidhya

JANUARY 24, 2024

Introduction Tableau is a powerful data visualization tool that allows users to analyze and present data interactively and meaningfully. It helps businesses make data-driven decisions by providing easy-to-understand insights and visualizations.

Visualization 330

Visualization Data-driven Interactive Analytics 330

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

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. It’s a fundamentals exam, so you don’t need extensive experience to pass.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

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

Analytics Vidhya

APRIL 22, 2024

VASA-1, the premiere model introduced in this work, is a framework for generating realistic talking faces with appealing visual affective skills (VAS) […] The post Microsoft’s VASA-1 Makes Fake Look Like Real appeared first on Analytics Vidhya.

Visualization 225

Visualization Modeling Analytics Deep Learning 225

Analytics Vidhya

FEBRUARY 28, 2024

Introduction Have you ever wanted to turn your words into visually stunning images? Well, now you can with Google ImageFX! This innovative tool allows you to generate images from text in just a few simple steps.

Visualization 290

Visualization Analytics Deep Learning Machine Learning 290

DataRobot Blog

FEBRUARY 14, 2022

Because our dataset contains image data, DataRobot used models that contain deep learning based image featurizers. If data drift is occurring, we may want to consider retraining the deployment on the more recent data so it learns the new patterns. Below we see two visualizations provided as part of Data Drift. Learn more.

Machine Learning 52

Machine Learning Metrics Sales Modeling 52

Analytics Vidhya

OCTOBER 26, 2023

Its simplicity and readability make it a preferred choice for working with data, from the most fundamental tasks to cutting-edge artificial intelligence and machine learning. Introduction Python is a versatile and powerful programming language that plays a central role in the toolkit of data scientists and analysts.

Machine Learning 305

Machine Learning Analytics IT Deep Learning 305

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. What advances do you see in Visual Analytics in the next five years?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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 81

Deep Learning Machine Learning Forecasting Visualization 81

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 111

Data Science Enterprise Experimentation Machine Learning 111

Analytics Vidhya

MARCH 15, 2023

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document.

Visualization 315

Visualization Analytics Deep Learning Machine Learning 315

Analytics Vidhya

JANUARY 3, 2022

Data Preprocessing: Data preparation is critical in machine learning use cases. This article was published as a part of the Data Science Blogathon. Data Compression is a big topic used in computer vision, computer networks, and many more. This is a more […].

Recreation/Entertainment 336

Recreation/Entertainment Machine Learning Data Science Publishing 336