AIMultiple ResearchAIMultiple Research

Machine Learning

Guide to RLHF in 2024

Guide to RLHF in 2024

In the rapidly advancing world of artificial intelligence (AI), developers strive to create machines capable of learning autonomously. The field of reinforcement learning, a subset of machine learning, plays a crucial role in these efforts, setting the stage for AI systems to learn from their actions.

Feb 165 min read
Machine Learning in Data Integration: 8 Challenges & Use Cases

Machine Learning in Data Integration: 8 Challenges & Use Cases

Integrating and analyzing data from disparate sources effectively has become paramount. Data integration, while crucial, often presents numerous challenges, ranging from managing data quality to ensuring security.  As organizations grapple with these obstacles, Artificial Intelligence (AI) and Machine Learning (ML) are emerging as transformative technologies, offering innovative solutions to simplify and enhance data integration processes.

Feb 184 min read
ML Model Management: Challenges & Best Practices in 2024

ML Model Management: Challenges & Best Practices in 2024

The rapid advancement and widespread adoption of machine learning (ML) have transformed various industries and driven innovation. 65% of companies adopting machine learning models state that it helps them make data-driven and informed decisions. As ML models become increasingly integral to decision-making processes and automated systems, the need for effective ML model management becomes clear.

Jan 34 min read
Guide To Machine Learning Data Governance in 2024

Guide To Machine Learning Data Governance in 2024

In this article, we explain machine learning data governance. We explain its key principles, benefits, use cases, best practices, and our future expectations of data governance.

Feb 144 min read
Crowdsource Machine Learning: A Complete Guide in 2024

Crowdsource Machine Learning: A Complete Guide in 2024

The market for machine learning is projected to grow at a 42% CAGR between 2018 and 2024. However, only 15% of organizations are advanced ML users.

Jan 25 min read
4 Use Cases of Sentiment Analysis Machine Learning in 2024

4 Use Cases of Sentiment Analysis Machine Learning in 2024

It is not surprising that the use of AI in the workplace has increased by 270% from 2015 to 2019, considering the data available and its exponential growth.

Jan 34 min read
Multimodal Learning: Benefits & 3 Real-World Examples in 2024

Multimodal Learning: Benefits & 3 Real-World Examples in 2024

Multimodal AI, or multimodal learning, is a rising trend and has the potential to reshape the AI landscape. And even though the concept is new, it is growing as business leaders are realizing its benefits.

Jan 123 min read
20+ Datasets for ML (Machine learning) in 2024

20+ Datasets for ML (Machine learning) in 2024

Business leaders are ramping up their efforts towards implementing AI-powered solutions such as generative AI and conversational AI in their businesses to not fall behind the competition. However, AI and machine learning projects can fail due to various reasons, with poor datasets being one of them.

Jan 296 min read
What are 5 Best Process Mining Algorithms to Consider in 2024?

What are 5 Best Process Mining Algorithms to Consider in 2024?

Process mining algorithms are examples of how machine learning can facilitate process discovery. TThey help clean the required data and generate process models with different strengths and weaknesses. Technical professionals and developers must decide which algorithm to use based on the data and models of the processes they want to automate.

Jan 44 min read
In-Depth Guide to Human in the Loop (HITL) Models in 2024

In-Depth Guide to Human in the Loop (HITL) Models in 2024

Human in the loop (HITL) is a machine learning method that combines the best parts of human intellect with the best features of artificial intelligence to develop an effective and modifiable algorithm for predictions. In this article, we explain HITL and its importance.

Jan 113 min read