Analytics Vidhya

MARCH 15, 2023

However, ChatGPT is limited in processing visual information since it’s trained with a single language modality. Visual Foundation Models […] The post Power of Visual ChatGPT : Conversations with AI and Images! appeared first on Analytics Vidhya.

Visualization 337

Visualization Interactive Modeling Analytics 337

Analytics Vidhya

FEBRUARY 7, 2024

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

Visualization 317

Visualization Analytics Deep Learning Machine Learning 317

Analytics Vidhya

APRIL 22, 2024

Introduction Deep learning is a fascinating field that explores the mysteries of gradients and their impact on neural networks. Solutions like ReLU activation and gradient clipping promise to revolutionize deep learning, unlocking secrets for training success.

Deep Learning 316

Deep Learning Visualization Analytics Machine Learning 316

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 304

Visualization Analytics IT Deep Learning 304

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 306

Deep Learning Machine Learning Visualization Data Science 306

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 291

Deep Learning Machine Learning Data-driven Analytics 291

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 Big Data Data-driven 350

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 145

Machine Learning Data mining Visualization Statistics 145

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

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 270

Deep Learning Visualization Data Science Publishing 270

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 342

Deep Learning Modeling Analytics Machine Learning 342

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. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS. Introduction. See < [link] > for more details.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

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

IBM Big Data Hub

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.

Deep Learning 101

Deep Learning Cost-Benefit Manufacturing Optimization 101

Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 372

Data Science Machine Learning Analytics IT 372

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

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 160

Data Science Deep Learning Statistics Machine Learning 160

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 348

Recreation/Entertainment Machine Learning Data Science Publishing 348

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Quality 300

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 108

Visualization Data Science Deep Learning Machine Learning 108

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. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you. A more general approach is to learn a Generalized Additive Model (GAM).

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). spaCy Named Entity Visualizer.

Deep Learning 279

Deep Learning Testing Machine Learning Modeling 279

CIO Business Intelligence

FEBRUARY 6, 2025

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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

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 343

Visualization Data-driven Interactive Analytics 343

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

Insight

MAY 16, 2019

It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. Pinterest developed a visual search engine which uses an object detection pipeline for content recommendation.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

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 302

Visualization Modeling Analytics IT 302

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 329

Visualization Analytics Deep Learning Machine Learning 329

KDnuggets

MARCH 23, 2022

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

Deep Learning 112

Deep Learning Management Visualization Machine Learning 112

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 327

Visualization Software Marketing Analytics 327

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

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

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 Consulting Modeling 143

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

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 319

Visualization Modeling Technology Analytics 319

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 319

Machine Learning Analytics IT Deep Learning 319