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.
Top Stories
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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
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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
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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
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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
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Definition
11 Mar 2024
Gemma
Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers. Continue Reading
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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
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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
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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
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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
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Definition
25 Jan 2024
vector embeddings
Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types. Continue Reading
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Definition
25 Jan 2024
masked language models (MLMs)
Masked language models (MLMs) are used in natural language processing (NLP) tasks for training language models. Continue Reading
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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
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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
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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
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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
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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
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Definition
18 Jan 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
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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
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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
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Tip
10 Jan 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
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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
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Definition
02 Jan 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
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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
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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
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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
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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
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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
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Definition
22 Nov 2023
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
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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
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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
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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
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Definition
09 Nov 2023
GPT-4
GPT-4 is OpenAI's large multimodal language model that generates text from textual and visual input. Continue Reading
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Tip
01 Nov 2023
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
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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
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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
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Definition
16 Oct 2023
machine learning algorithm
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
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Definition
16 Oct 2023
machine learning operations (MLOps)
Machine learning operations (MLOps) is the development and use of machine learning models by development operations (DevOps) teams. Continue Reading
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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
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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
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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
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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
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Tip
27 Sep 2023
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
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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
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Definition
25 Sep 2023
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
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22 Sep 2023
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
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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
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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
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Feature
19 Sep 2023
Prep with 20 machine learning interview questions and answers
Aspiring machine learning job candidates should be fluent in varied aspects of machine learning, from statistical theory and programming concepts to general industry knowledge. Continue Reading
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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
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Definition
15 Sep 2023
What is machine learning and how does it work? In-depth guide
Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data. The broad range of techniques ML encompasses enables software applications to improve their performance over time. Continue Reading
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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
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Feature
05 Sep 2023
Supervised vs. unsupervised learning: Experts define the gap
Learn the characteristics of supervised learning, unsupervised learning and semisupervised learning and how they're applied in machine learning projects. Continue Reading
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Definition
31 Aug 2023
anomaly detection
Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range. Continue Reading
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Feature
30 Aug 2023
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
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Tip
28 Aug 2023
What are machine learning models? Types and examples
Training data and algorithms are key, but there are many learning techniques, processes and practices that influence the selection, care and feeding of machine learning models. Continue Reading
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Tip
28 Aug 2023
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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Tip
28 Aug 2023
6 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 six common obstacles. Continue Reading
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Feature
25 Aug 2023
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
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Feature
24 Aug 2023
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
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Tip
22 Aug 2023
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
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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
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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
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Definition
21 Aug 2023
neural network
A neural network is a machine learning (ML) model designed to mimic the function and structure of the human brain. Continue Reading
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Definition
17 Aug 2023
GPT-3
GPT-3, or the third-generation Generative Pre-trained Transformer, is a neural network machine learning model trained using internet data to generate any type of text. Continue Reading
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Definition
16 Aug 2023
clustering in machine learning
Clustering is a data science technique in machine learning that groups similar rows in a data set. Continue Reading
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Tip
16 Aug 2023
The history of artificial intelligence: Complete AI timeline
From the Turing test's introduction to ChatGPT's celebrated launch, AI's historical milestones have forever altered the lifestyles of consumers and operations of businesses. Continue Reading
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Definition
16 Aug 2023
reinforcement learning
Reinforcement learning is a machine learning training method based on rewarding desired behaviors and punishing undesired ones. Continue Reading
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Definition
15 Aug 2023
linear regression
Linear regression identifies the relationship between the mean value of one variable and the corresponding values of one or more other variables. Continue Reading
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Definition
15 Aug 2023
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
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Tip
09 Aug 2023
4 types of learning in machine learning explained
Factoring performance, accuracy, reliability and explainability, data scientists consider supervised, unsupervised, semi-supervised and reinforcement models to reach best outcomes. Continue Reading
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News
09 Aug 2023
Nvidia seeks to help enterprises with generative AI
The hardware and software vendor introduced new offerings to help enterprises work on models locally. It also updated its enterprise AI suite and Omniverse platform. Continue Reading
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Feature
08 Aug 2023
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
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Definition
03 Aug 2023
support vector machine (SVM)
A support vector machine (SVM) is a type of supervised learning algorithm used in machine learning to solve classification and regression tasks. Continue Reading
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Definition
02 Aug 2023
machine translation
Machine translation technology enables the conversion of text or speech from one language to another using computer algorithms. Continue Reading
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Feature
02 Aug 2023
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
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Definition
31 Jul 2023
algorithm
An algorithm is a procedure used for solving a problem or performing a computation. Continue Reading
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Feature
28 Jul 2023
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
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Definition
27 Jul 2023
supervised learning
Supervised learning is an approach to creating artificial intelligence (AI) where a computer algorithm is trained on input data that has been labeled for a particular output. Continue Reading
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Definition
27 Jul 2023
deep learning
Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. Continue Reading
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Feature
19 Jul 2023
IT observability tool proliferation fuels AIOps deployments
Enterprise Strategy Group's Jon Brown discusses the latest findings in his newly released report on observability in IT and application infrastructures and integrating AIOps. Continue Reading
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Feature
17 Jul 2023
AI existential risk: Is AI a threat to humanity?
What should enterprises make of the recent warnings about AI's threat to humanity? AI experts and ethicists offer opinions and practical advice for managing AI risk. Continue Reading
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Definition
17 Jul 2023
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
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Definition
29 Jun 2023
cognitive computing
Cognitive computing is the use of computerized models to simulate the human thought process in complex situations where the answers might be ambiguous and uncertain. Continue Reading
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News
26 Jun 2023
Databricks acquiring MosaicML to add more generative AI
The data lakehouse vendor's purchase of the generative AI vendor will enable customers to build and train language models specific to their needs by using their own data. Continue Reading
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Definition
23 Jun 2023
machine teaching
Machine teaching is the practice of infusing context -- and often business consequences -- into the selection of training data used in machine learning (ML) so that the most relevant outputs are produced by the ML algorithms. Continue Reading
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Definition
23 Jun 2023
multiprocessing
Multiprocessing is the utilization of two or more central processing units (CPUs) in a single computer system. Continue Reading
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Definition
23 Jun 2023
automated machine learning (AutoML)
Automated machine learning (AutoML) is the process of applying machine learning (ML) models to real-world problems using automation. Continue Reading
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Definition
06 Jun 2023
reinforcement learning from human feedback (RLHF)
Reinforcement learning from human feedback (RLHF) is a machine learning approach that combines reinforcement learning techniques, such as rewards and comparisons, with human guidance to train an artificial intelligence (AI) agent. Continue Reading
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Tip
02 Jun 2023
AI transparency: What is it and why do we need it?
As the use of AI models has evolved and expanded, the concept of transparency has grown in importance. Learn about the benefits and challenges of AI transparency. Continue Reading
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Definition
01 Jun 2023
AIOps (artificial intelligence for IT operations)
Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning and other AI technologies to automate the identification and resolution of common IT issues. Continue Reading
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Definition
01 Jun 2023
machine learning bias (AI bias)
Machine learning bias, also sometimes called algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the machine learning process. Continue Reading
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Definition
30 May 2023
unsupervised learning
Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled. Continue Reading
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Definition
25 May 2023
singularity
In technology, the singularity describes a hypothetical future where technology growth is out of control and irreversible. Continue Reading
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Definition
22 May 2023
Q-learning
Q-learning is a machine learning approach that enables a model to iteratively learn and improve over time by taking the correct action. Continue Reading
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Tip
10 May 2023
History of generative AI innovations spans 9 decades
ChatGPT's debut has prompted widespread publicity and controversy surrounding generative AI, a subset of artificial intelligence that's deep-rooted in historic milestones. Continue Reading
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Definition
09 May 2023
case-based reasoning (CBR)
Case-based reasoning (CBR) is an experience-based approach to solving new problems by adapting previously successful solutions to similar problems. Continue Reading
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Tip
05 May 2023
Types of AI algorithms and how they work
AI algorithms can help businesses gain a competitive advantage. Learn the main types of AI algorithms, how they work and why companies must thoroughly evaluate benefits and risks. Continue Reading
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News
02 May 2023
Teradata integrates with Google Vertex AI
The vendors' new integration provides choices to customers who prefer Google as their cloud provider. It also helps Google present itself as more focused on enterprises. Continue Reading
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Definition
27 Apr 2023
cognitive bias
Cognitive bias is a systematic thought process caused by the tendency of the human brain to simplify information processing through a filter of personal experience and preferences. Continue Reading
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Definition
20 Apr 2023
face detection
Face detection, also called facial detection, is an artificial intelligence (AI)-based computer technology used to find and identify human faces in digital images and video. Continue Reading
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Tip
19 Apr 2023
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
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Definition
19 Apr 2023
deconvolutional networks (deconvolutional neural networks)
Deconvolutional networks are convolutional neural networks (CNN) that work in a reversed process. Continue Reading