Machine learning platforms

Enterprises need to make smart investments in machine learning platforms. With a range of features and price tags, making the right ML choice can seem like a daunting task. Discover machine learning platform comparison content, information on getting started with machine learning algorithms and best practices to gain the most from ML projects.

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Tutorial 14 Aug 2024
How to use and run Jupyter Notebook: A beginner's guide

Learn how to create your first project with Jupyter Notebook, a popular platform for presenting data science and machine learning work with interactive code, text and visuals. Continue Reading
Tip 12 Aug 2024
How and why to run machine learning workloads on Kubernetes

Running ML model development and deployment on Kubernetes is an absolute must in a world where decoupling workloads can optimize resources and cut costs. Continue Reading

Tip 12 Aug 2024

How and why to run machine learning workloads on Kubernetes

Running ML model development and deployment on Kubernetes is an absolute must in a world where decoupling workloads can optimize resources and cut costs. Continue Reading
Tip 09 Aug 2024

10 best practices for contact center quality assurance

To ensure quality and results in the contact center, businesses must define clear metrics, use real-time analytics, seek customer feedback, upskill agents and automate everywhere. Continue Reading
Definition 02 Aug 2024

machine learning operations (MLOps)

Machine learning operations (MLOps) is the development and use of machine learning models by development operations (DevOps) teams. Continue Reading
News 01 Aug 2024

Enterprises struggle to find business value with GenAI

Enterprises chase an impractical immediate payback from GenAI and miss opportunities to use less expensive machine learning to solve problems, experts say. Continue Reading
Feature 30 Jul 2024

What is regression in machine learning?

Regression in machine learning helps organizations forecast and make better decisions by revealing the relationships between variables. Learn how it's applied across industries. Continue Reading
Definition 30 Jul 2024

What is machine learning and how does it work? In-depth guide

Machine learning is a branch of AI focused on building computer systems that learn from data. Continue Reading
Definition 29 Jul 2024

What is an algorithm?

An algorithm is a procedure used for solving a problem or performing a computation. Continue Reading
Definition 29 Jul 2024

What is machine translation?

Machine translation technology enables the conversion of text or speech from one language to another using computer algorithms. Continue Reading
Definition 29 Jul 2024

What is anomaly detection? An overview and explanation

Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range. Continue Reading
Definition 29 Jul 2024

What is adversarial machine learning?

Adversarial machine learning is a technique used in machine learning (ML) to fool or misguide a model with malicious input. Continue Reading
Definition 29 Jul 2024

What is clustering in machine learning and how does it work?

Clustering is a data science technique in machine learning that groups similar rows in a data set. Continue Reading
Definition 29 Jul 2024

What is natural language understanding (NLU)?

Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech. Continue Reading
Definition 29 Jul 2024

What are machine learning algorithms? 12 types explained

A machine learning algorithm is the method by which the AI system conducts its task, generally predicting output values from given input data. Continue Reading
Feature 29 Jul 2024

6 ways to reduce different types of bias in machine learning

As adoption of machine learning grows, companies must become data experts or risk results that are inaccurate, unfair or even dangerous. Here's how to combat machine learning bias. Continue Reading
Feature 26 Jul 2024

GPT-4o vs. GPT-4: How do they compare?

OpenAI's GPT-4o promises improved multimodal capabilities and increased efficiency. Explore the differences between GPT-4o and its predecessor, GPT-4. Continue Reading
Feature 25 Jul 2024

What is boosting in machine learning?

Boosting is a technique used in machine learning that trains an ensemble of so-called weak learners to produce an accurate model, or strong learner. Learn how it works. Continue Reading
Definition 25 Jul 2024

What is data labeling?

Data labeling is the process of identifying and tagging data samples commonly used in the context of training machine learning (ML) models. Continue Reading
Definition 24 Jul 2024

What is a data architect?

A data architect is an IT professional responsible for defining the policies, procedures, models and technologies used in collecting, organizing, storing and accessing company information. Continue Reading
Definition 23 Jul 2024

What is reinforcement learning?

Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions. Continue Reading
Definition 19 Jul 2024

What is NumPy? Explaining how it works in Python

NumPy is an open source mathematical and scientific computing library for Python programming tasks. Continue Reading
Tip 19 Jul 2024

8 contact center challenges in 2024 and how to overcome them

Multifunctional contact centers must meet the expectations of savvy customers, hire and maintain qualified agents, monetize data, safeguard information and modernize operations. Continue Reading
News 17 Jul 2024

Google launches Distributed Cloud edge hardware

The hardware for highly regulated industries runs the Google Cloud infrastructure stack, data security services and the Vertex AI platform for running pretrained AI models. Continue Reading
Feature 17 Jul 2024

How to detect AI-generated content

AI- or human-generated? To test their reliability, six popular generative AI detectors were asked to judge three pieces of content. The one they got wrong may surprise you. Continue Reading
Feature 17 Jul 2024

25 machine learning interview questions with answers

Aspiring machine learning job candidates should be fluent in many aspects of machine learning, from statistical theory and programming concepts to general industry knowledge. Continue Reading
Definition 16 Jul 2024

tensor processing unit (TPU)

A tensor processing unit (TPU) is an application-specific integrated circuit (ASIC) specifically designed to accelerate high-volume mathematical and logical processing tasks typically involved with machine learning (ML) workloads. Continue Reading
Feature 16 Jul 2024

10 types of contact centers explained

Contact centers are the front line of communication between the enterprise and customers. But no two facilities are alike, so it's best to know which type fits business goals. Continue Reading
Tip 12 Jul 2024

How to prevent deepfakes in the era of generative AI

Businesses must be ever vigilant in detecting the increasingly sophisticated nuances of deepfakes by applying security techniques that range from the simple to the complex. Continue Reading
Tip 11 Jul 2024

10 popular libraries to use for machine learning projects

Machine learning libraries expedite the development process by providing optimized algorithms, prebuilt models and other support. Learn about 10 widely used ML libraries. Continue Reading
News 10 Jul 2024

AWS intros GenAI app studio, updates Amazon Q and Bedrock

The cloud provider introduced new features that help enterprises create applications faster, while still applying responsible practices. It also unveiled new educational resources. Continue Reading
Tip 09 Jul 2024

What are the benefits of an MLOps framework?

While maintaining machine learning models throughout their lifecycles can be challenging, implementing an MLOps framework can enhance collaboration, efficiency and model quality. Continue Reading
Definition 09 Jul 2024

AI PC

An AI PC is a personal computer equipped with hardware and software components to run artificial intelligence (AI) applications and tasks. Continue Reading
Tip 09 Jul 2024

7 machine learning challenges facing businesses

Machine learning challenges cover the spectrum from ethical and cybersecurity issues to data quality and user acceptance concerns. Read on to learn about seven common obstacles. Continue Reading
Feature 08 Jul 2024

Attributes of open vs. closed AI explained

What's the difference between open vs. closed AI, and why are these approaches sparking heated debate? Here's a look at their respective benefits and limitations. Continue Reading
Tip 08 Jul 2024

Generative models: VAEs, GANs, diffusion, transformers, NeRFs

Choosing the right GenAI model for the task requires understanding the techniques each uses and their specific talents. Learn about VAEs, GANs, diffusion, transformers and NerFs. Continue Reading
Tip 03 Jul 2024

GitHub Copilot vs. ChatGPT: How do they compare?

Copilot and ChatGPT are generative AI tools that can help coders be more productive. Learn about their strengths and weaknesses, as well as alternative coding assistants. Continue Reading
Feature 02 Jul 2024

8 benefits of a modern contact center

Contact centers and their multifunctional capabilities can provide businesses with a competitive edge through improved agent performance, customer engagement and brand loyalty. Continue Reading
Definition 28 Jun 2024

immersive virtual reality (immersive VR)

Immersive virtual reality (immersive VR) is the presentation of an artificial environment that replaces users' real-world surroundings convincingly enough that they can suspend disbelief and fully engage with the created environment. Continue Reading
Tip 26 Jun 2024

How to build and organize a machine learning team

Explore the process of building an ML team, including reasons to build one and descriptions of the core roles of project manager, data engineer, data scientist and ML engineer. Continue Reading
Feature 24 Jun 2024

Supervised vs. unsupervised learning explained by experts

Learn the characteristics of supervised learning, unsupervised learning and semisupervised learning and how they're applied in machine learning projects. Continue Reading
Definition 24 Jun 2024

automated machine learning (AutoML)

Automated machine learning (AutoML) is the process of applying machine learning models to real-world problems using automation. Continue Reading
Definition 20 Jun 2024

self-driving car (autonomous car or driverless car)

A self-driving car -- sometimes called an autonomous car or driverless car -- is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator. Continue Reading
Tip 18 Jun 2024

8 machine learning benefits for businesses

For business leaders, machine learning's predictive capabilities can forecast product demand, reduce equipment downtime and retain customers. Continue Reading
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History and evolution of machine learning: A timeline

Machine learning's legacy dates from the early beginnings of neural networks to recent advancements in generative AI that democratize new and controversial ways to create content. Continue Reading
Feature 11 Jun 2024

Top 12 machine learning use cases and business applications

Machine learning applications are increasing the efficiency and improving the accuracy of business functions ranging from decision-making to maintenance to service delivery. Continue Reading
Tip 11 Jun 2024

4 popular machine learning certificates to get in 2024

AWS, Google, IBM and Microsoft offer machine learning certifications that can further your career. Learn what to expect from each one, as well as skills and tips you should know. Continue Reading
Tip 06 Jun 2024

The different types of machine learning explained

Rigorous experimentation is key to building machine learning models. Learn about the main types of ML models and the many factors that go into training the right one for the task. Continue Reading
Definition 06 Jun 2024

data splitting

Data splitting is when data is divided into two or more subsets. Typically, with a two-part split, one part is used to evaluate or test the data and the other for training the model. Continue Reading
Tip 04 Jun 2024

Compare 6 top MLOps platforms

Choosing the right MLOps platform means considering features, pricing and ease of integration into your current machine learning environment. Evaluate six leading options. Continue Reading
Definition 03 Jun 2024

machine learning engineer (ML engineer)

A machine learning engineer (ML engineer) is a person in IT who focuses on researching, building and designing self-running artificial intelligence (AI) systems to automate predictive models. Continue Reading
Definition 03 Jun 2024

What is generative AI? Everything you need to know

Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data. Continue Reading
Definition 17 May 2024

Gemma

Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers. Continue Reading
Definition 15 May 2024

overfitting in machine learning

Overfitting in machine learning occurs when a model excessively fits the training data, capturing both relevant patterns and inconsequential noise, resulting in inaccurate predictions of new data. Continue Reading
Definition 14 May 2024

GPT-4

GPT-4 is OpenAI's large multimodal language model that generates text from textual and visual input. Continue Reading
Definition 14 May 2024

OpenAI

OpenAI is a private research laboratory that aims to develop and direct artificial intelligence (AI) in ways that benefit humanity as a whole. Continue Reading
Tip 10 May 2024

How to build an MLOps pipeline

Machine learning initiatives involve multiple complex workflows and tasks. A standardized pipeline can streamline this process and maximize the benefits of an MLOps approach. Continue Reading
Definition 03 May 2024

facial recognition

Facial recognition is a category of biometric software that maps an individual's facial features to confirm their identity. Continue Reading
Definition 02 May 2024

What are vector embeddings?

Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types. Continue Reading
Definition 02 May 2024

What are masked language models (MLMs)?

Masked language models (MLMs) are used in natural language processing (NLP) tasks for training language models. Continue Reading
Tip 01 May 2024

Embedding models for semantic search: A guide

Embedding models in semantic search are changing how we interact with information by going beyond keyword matching to capture meaning and relationships in text and other data. Continue Reading
Definition 29 Apr 2024

data set

A data set, also spelled 'dataset,' is a collection of related data that's usually organized in a standardized format. Continue Reading
Definition 26 Apr 2024

vision language models (VLMs)

Vision language models (VLMs) combine machine vision and semantic processing techniques to make sense of the relationship within and between objects in images. Continue Reading
Tip 15 Apr 2024

Tips for planning a machine learning architecture

When planning a machine learning architecture, organizations must consider factors such as performance, cost and scalability. Review necessary components and best practices. Continue Reading
News 09 Apr 2024

Google's updates in Vertex AI, Imagen 2 support GenAI apps

The cloud provider introduced updates to Vertex AI. It revealed its LLM family Gemini is now available in Vertex. Its image generating tool also has new capabilities. Continue Reading
Definition 25 Mar 2024

model card in machine learning

A model card is a type of documentation that is created for, and provided with, machine learning models. Continue Reading
Answer 19 Mar 2024

Use AI tools to simplify operations inside your data center

AI is a cornerstone technology that will be part of future-proofing the data center. It will control operations like cooling, network optimization and configuration management. Continue Reading
Definition 15 Mar 2024

data engineer

A data engineer is an IT professional whose primary job is to prepare data for analytical or operational uses. Continue Reading
Feature 13 Mar 2024

Managing and predicting wildfires with machine learning

CTO Guy Bayes shares his experience developing AI software to predict and manage wildfires at startup Vibrant Planet and offers tips for getting started in climate tech. Continue Reading
Tip 27 Feb 2024

GPT-3.5 vs. GPT-4: Biggest differences to consider

GPT-3.5 or GPT-4? With multiple OpenAI language models to choose from, picking the right option for your organization's needs comes down to the details. Continue Reading
Tip 23 Feb 2024

6 machine learning applications for data center optimization

AI and machine learning have the potential to revolutionize data center operations. They can manage facilities more efficiently by optimizing power consumption and monitoring. Continue Reading
Definition 15 Feb 2024

natural language processing (NLP)

Natural language processing (NLP) is the ability of a computer program to understand human language as it’s spoken and written -- referred to as natural language. Continue Reading
Definition 30 Jan 2024

Retrieval-Augmented Language Model pre-training

A Retrieval-Augmented Language Model, also referred to as REALM or RALM, is an artificial intelligence language model designed to retrieve text and then use it to perform question-based tasks. Continue Reading
Feature 25 Jan 2024

18 data science tools to consider using in 2024

Numerous tools are available for data science applications. Read about 18, including their features, capabilities and uses, to see if they fit your analytics needs. Continue Reading
Definition 24 Jan 2024

knowledge graph in ML

In the realm of machine learning (ML), a knowledge graph is a graphical representation that captures the connections between different entities. Continue Reading
News 23 Jan 2024

ElevenLabs' funding success shows growth of AI voice market

The startup has quickly raised a total of $101 million, reflecting the fast growth of new technologies like deep neural networks. Along with growth comes challenges. Continue Reading
Tip 22 Jan 2024

Artificial intelligence vs. human intelligence: Differences explained

Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three ways AI and human cognition diverge. Continue Reading
Definition 19 Jan 2024

conversational AI (conversational artificial intelligence)

Conversational AI (conversational artificial intelligence) is a type of AI that enables computers to understand, process and generate human language. Continue Reading
Definition 11 Jan 2024

convolutional neural network (CNN)

A convolutional neural network (CNN) is a category of machine learning model, namely a type of deep learning algorithm well suited to analyzing visual data. Continue Reading
Feature 11 Jan 2024

AI regulation: What businesses need to know in 2024

The rapid evolution and adoption of AI tools has policymakers scrambling to craft effective AI regulation and laws. Law professor Michael Bennett analyzes what's afoot in 2024. Continue Reading
Feature 04 Jan 2024

10 top AI and machine learning trends for 2024

Custom enterprise models, open source AI, multimodal -- learn about the top AI and machine learning trends for 2024 and how they promise to transform the industry. Continue Reading
Tip 21 Dec 2023

The top 5 benefits of AI in banking and finance

The strategic deployment of AI in banking and finance can bring substantial benefits. Learn about how AI tools are transforming financial services and the risks to be mindful of. Continue Reading
Tip 21 Dec 2023

How do big data and AI work together?

Enterprises are leaning on big data to train AI algorithms and, in turn, are using AI to understand big data. The results are pushing operations forward. Continue Reading
Opinion 12 Dec 2023

Amazon's innovative generative AI moves at re:Invent 2023

Analyst Mike Leone takes a comprehensive look at Amazon's generative AI announcements at this year's re:Invent, including the Q assistant, Bedrock enhancements and chip updates. Continue Reading
Feature 07 Dec 2023

7 ways AI could bring more harm than good

AI has the potential to cause harm in several ways -- including job displacement, lack of transparency and unintended biases. Continue Reading
News 06 Dec 2023

Google strikes back at OpenAI with Gemini foundation model

After falling behind, the vendor drew on its AI roots in a bid to outdo OpenAI's GPT with a potent foundation model to inject across its app portfolio and for advanced coding. Continue Reading
Podcast 20 Nov 2023

Diving into Wayfair's machine learning odyssey

From starting with using the technology to determine the best marketing mediums to using GenAI tools internally, the online retail giant's AI experience has evolved. Continue Reading
News 15 Nov 2023

Microsoft expands AI reach with Azure AI studio, genAI tools

Microsoft's new platform is a studio for building, exploring and testing models. The tech giant is also incorporating Dall-E 3, GPT-3.5 Turbo and GPT-4 Turbo within Azure AI. Continue Reading
Definition 14 Nov 2023

narrow AI (weak AI)

Narrow AI is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose. Continue Reading
Tip 31 Oct 2023

Prep data for ML training with SageMaker Data Wrangler

Are you ready to wrangle some data? Follow this step-by-step tutorial, and learn how to load, analyze and transform data to train a ML model with Amazon SageMaker Data Wrangler. Continue Reading
Definition 23 Oct 2023

backpropagation algorithm

Backpropagation, or backward propagation of errors, is an algorithm that is designed to test for errors working back from output nodes to input nodes. Continue Reading
Definition 10 Oct 2023

context window

A context window is a textual range around a target token that a large language model (LLM) can process at the time the information is generated. Continue Reading
Feature 10 Oct 2023

10 AI use cases in manufacturing

Manufacturing companies are turning to AI to streamline the way they do business and increase efficiency. Here are 10 common use cases. Continue Reading
Definition 04 Oct 2023

language modeling

Language modeling, or LM, is the use of various statistical and probabilistic techniques to determine the probability of a given sequence of words occurring in a sentence. Language models analyze bodies of text data to provide a basis for their word predictions. Continue Reading
Definition 27 Sep 2023

Amazon Bedrock (AWS Bedrock)

Amazon Bedrock -- also known as AWS Bedrock -- is a machine learning platform used to build generative artificial intelligence (AI) applications on the Amazon Web Services cloud computing platform. Continue Reading
Tutorial 25 Sep 2023

Why and how to use Google Colab

Whether you're looking to gain experience or you're already an expert data scientist, Google Colab can help boost ML and AI initiatives. Follow this tutorial to learn the basics. Continue Reading
Definition 21 Sep 2023

LangChain

LangChain is an open source framework that lets software developers working with artificial intelligence (AI) and its machine learning subset combine large language models with other external components to develop LLM-powered applications. Continue Reading
News 20 Sep 2023

Intel promotes new computing era with AI PC

Intel says its upcoming Core Ultra will help lead personal computing to the AI PC era by making AI processing a mainstream task on PCs, like office productivity and video editing. Continue Reading
Tutorial 18 Sep 2023

Get started with this quick Amazon SageMaker Autopilot tutorial

Building machine learning models can be a daunting and complicated task. Learn how Amazon SageMaker Autopilot can help and how to start an Autopilot experiment. Continue Reading
Definition 13 Sep 2023

Hugging Face

Hugging Face is a machine learning and data science platform and community that helps users build, deploy and train machine learning models. Continue Reading
Definition 22 Aug 2023

decision tree in machine learning

A decision tree is a flow chart created by a computer algorithm to make decisions or numeric predictions based on information in a digital data set. Continue Reading
Feature 22 Aug 2023

8 areas for creating and refining generative AI metrics

When gauging the success of generative AI initiatives, metrics should be agreed upon upfront and focus on the performance of the model and the value it delivers. Continue Reading