Recursos de Software de Aprendizado de Máquina
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Artigos Software de Aprendizado de Máquina
What Is Image Annotation? Types, Use Cases and More
Be it B2B or B2C industry, the race to step up in artificial intelligence domain is bubbling on the surface with computer vision techniques like image annotation.
por Holly Landis
Supervised vs. Unsupervised Learning: Differences Explained
With the progression of advanced machine learning inventions, strategies like supervised and unsupervised learning are floating more in the market.
por Alyssa Towns
What Are Vector Embeddings? Explore Its Role in AI Models
Vector embeddings are numerical representations of data that help computers better understand that data and its representations. They’re like changing words into a special, unique code made with numbers.
por Sagar Joshi
What Is Machine Learning? Benefits And Unique Applications
Imagine a world where computers can learn and adapt on their own. No longer stuck doing just what we program them to do, machines will be able to understand, analyze, and even predict how people behave. This isn’t just a dream; it’s a reality we are quickly moving toward.In today’s information-filled world, the amount of data can be overwhelming. While it’s easy to collect data, the real challenge is finding useful insights from all that information. This is where machine learning comes in.
por Amal Joby
What Is a Support Vector Machine? How It Classifies Objects
Vladimir N. Vapnik developed support vector machine (SVM) algorithms to tackle classification problems in the 1990s. These algorithms find an optimal hyperplane, which is a line in a 2D or a 3D plane, between two dataset categories to distinguish between them.
por Sagar Joshi
Feature Extraction: How to Make Data Processing Easier
Feature extraction pulls the most helpful information from a large amount of data. It helps you make sense of overwhelming raw data that can be tricky to work with, especially in machine learning applications.
por Sagar Joshi
What is Image Processing? Examples, Types, and Benefits
We see thousands of images every day, online and out in the real world. It’s likely that the images have been changed in some way before being released into the wild.
por Holly Landis
What Is Artificial Intelligence (AI)? Types, Definition And Examples
Remember Sophia, the humanoid that appeared on the late-night show with Jimmy Fallon?
por Amal Joby
What Is TinyML? A Brief Introduction And Benefits
When you hear the word machine learning (ML), do you instantly picture a large room of servers, sweating profusely, to crunch huge volumes of data?
por Amal Joby
What Is Data Mining? How It Works, Techniques, and Examples
Brittany Kaiser, former Director of Business Development for Cambridge Analytica, stated in Netflix’s The Great Hack that data is now more valuable than oil.
por Mara Calvello
What Is Artificial General Intelligence (AGI)? The Future Is Here
Artificial general intelligence (AGI) could be the best or worst thing ever happening to us.
por Amal Joby
50 Autonomous Vehicle Statistics to Drive You Crazy in 2024
Let your car drive itself to you.
por Aayushi Sanghavi
Claim Peace of Mind: Decode the Work of Insurance Adjusters
Like the saying, "When life gives you lemons, make lemonade," we often find ways to make the best out of difficult situations.
por Devyani Mehta
2023 Trends in AI: Cheaper, Easier-to-Use AI to the Rescue
This post is part of G2's 2023 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Emily Malis Greathouse, director, market research, and additional coverage on trends identified by G2’s analysts.
por Matthew Miller
AWS re:Invent 2021 Roundup: A G2 Perspective
After almost a year filled with virtual-only events, Amazon Web Services (AWS) hosted the learning conference, AWS re:Invent 2021, from November 29 to December 3, 2021. Several announcements impacting cloud, computing, networking, database, and machine learning were made.
por Amal Joby
Democratizing AI With Low-Code and No-Code Machine Learning Platforms
Mastering machine learning (ML) isn’t easy.
por Amal Joby
What Is Statistical Modeling? When and Where to Use It
You can interpret data in multiple ways.
por Sagar Joshi
Quantum Computing: Myth or Reality?
Classical computing has come a long way, from solving simple mathematical problems to using additional resources to solve highly complex tasks. However, the limitations of classical computing prevent it from solving the much more complex challenges the world faces today, and that's where quantum computing steps in.
por Preethica Furtado
2021 Trends in Software Development
This post is part of G2's 2021 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Michael Fauscette, G2's chief research officer and Tom Pringle, VP, market research, and additional coverage on trends identified by G2’s analysts.
por Adam Crivello
2021 Trends in Accounting and Finance
This post is part of G2's 2021 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Michael Fauscette, G2's chief research officer and Tom Pringle, VP, market research, and additional coverage on trends identified by G2’s analysts.
por Nathan Calabrese
The Role of Artificial Intelligence in Accounting
Accounting is one of the most important, yet daunting and expensive departments in almost all companies.
Accountants oversee all financial operations of a business to help it run smoothly and efficiently. These include preparing and analyzing financial statements (e.g., cash flow, income statement, balance sheet), paying taxes on time, and maintaining the companies’ general ledger (GL). All these tasks require a great deal of human interaction that takes time and money; no matter how careful an employee may be, there is always the chance for human error, which could snowball and lead to devastating financial results in the future.
por Nathan Calabrese
When Platforms Collide, Analytics Evolves
Within the enterprise tech space, the seemingly endless evolution of data-driven insights continues apace—but when will it end?
por Tom Pringle
Tech Companies Bridging the Gap Between AI and Automation
Automation and artificial intelligence (AI) are important, interrelated tools that help organizations streamline their processes and add intelligence to their workflows.
They allow businesses to reach organizational goals by automating business processes, whereby they can increase efficiency and adapt to new business procedures.
por Matthew Miller
How Generative Design Supports Sustainability
About seven years ago, 3D printing was all the rage. For a few months, even years, it was one of the most discussed technologies on the market, with the potential to truly revolutionize how we manufacture.
por Michael Gigante
Data Mining Techniques You Need to Unlock Quality Insights
In today's rapidly growing technological workspace, businesses have more data than ever before.
por Mara Calvello
The Data Toolbox: The Expanding Domain of AI & Analytics
Killer robots. Threatening humanoids. Robo-apocalypses and evil robots taking over the world. (Just kidding.)
por Matthew Miller
What Is Fileless Malware and How Do Attacks Occur?
Fileless malware attacks are on the rise as more hackers use it to disguise their nefarious activities. These threats leverage a computer’s existing, whitelisted applications and computing power against itself. This is what security professionals refer to as “live off the land” threats.
por Aaron Walker
AI in Fintech: Use Cases and Impact
Artificial intelligence (AI) has proven useful to financial services institutions in multiple ways. From detecting potentially fraudulent charges to automating complex credit and loan processes, AI-powered fintech has proven invaluable when it comes to internally engineering value for financial services institutions.
por Patrick Szakiel
5 Clever Examples of How Machine Learning is Used Today
If you used Google, Spotify, or Uber in the past week, you’ve engaged with products that utilize machine learning.
por Devin Pickell
What Is the Future of Machine Learning? We Asked 5 Experts
Forget what you may have heard. Machine learning isn’t some new concept or study in its infancy.
por Devin Pickell
Termos do Glossário Software de Aprendizado de Máquina
Discussões Software de Aprendizado de Máquina
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Pergunta sobre: Keysight Eggplant
What does eggplant software do?What does eggplant software do?
Keysight Eggplant é uma plataforma de automação de testes de software que automatiza todo o processo de teste, desde a geração de casos de teste até a análise de resultados. Eggplant utiliza ML/IA avançada para testar todas as possíveis jornadas do usuário do seu software, aplicativo ou site, através da interface do usuário.
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Pergunta sobre: PyTorch
Do you use Pytorch for? (e.g. NLP, computer vision, reinforcement learning, etc)Pytorch could be used to vision, audio, text (NLP), reinforcement learning, etc. The idea is find if a specific area of deep learning prefers pytorch or another.
Todos os paradigmas para DeepLearning são suportados para desenvolvimento pelo PyTorch.
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Pergunta sobre: Vowpal Wabbit
How to speed up the processing time when dataset is in millions?When I introduced 15 different random contexts having 5 different cohorts and 5 different actions having different rewards, it took much more time in computing ctr.
C'est çà le problème qui se pose, amar seu trabalho ou não amá-lo ? soi même à cette question.
Relatórios Software de Aprendizado de Máquina
Grid® Report for Machine Learning
Winter 2025
Relatório G2: Grid® Report
Enterprise Grid® Report for Machine Learning
Winter 2025
Relatório G2: Grid® Report
Small-Business Grid® Report for Machine Learning
Winter 2025
Relatório G2: Grid® Report
Momentum Grid® Report for Machine Learning
Winter 2025
Relatório G2: Momentum Grid® Report
Small-Business Grid® Report for Machine Learning
Fall 2024
Relatório G2: Grid® Report
Momentum Grid® Report for Machine Learning
Fall 2024
Relatório G2: Momentum Grid® Report
Enterprise Grid® Report for Machine Learning
Fall 2024
Relatório G2: Grid® Report
Grid® Report for Machine Learning
Fall 2024
Relatório G2: Grid® Report
Grid® Report for Machine Learning
Summer 2024
Relatório G2: Grid® Report
Enterprise Grid® Report for Machine Learning
Summer 2024
Relatório G2: Grid® Report