FAQ
AI and Machine Learning (ML) can be difficult to understand, which is why the questions “what is machine learning?” and “what is the difference between AI and machine learning?” are commonly asked. Machine Learning plays a crucial role in Squark’s application, so it’s important to understand exactly what these definitions mean.
Artificial Intelligence is a general term that describes efforts to allow computers to perform tasks such as vision, speech recognition, and goal achievement that resemble human intelligence.
Machine Learning is a subfield of Artificial Intelligence that allows computers to solve problems for which they were not explicitly programmed through processes of learning and iteration.
Machine Learning is a subfield of Artificial Intelligence that allows computers to solve problems for which they were not explicitly programmed through processes of learning and iteration.
Deep Learning is a subfield of Machine Learning that employs hierarchical layers of artificial neural networks that perform better on large, complicated data sets than simple neural networks.
Machine Learning (ML) is implemented either by dedicating people and computer resources to building custom instances, or by using Automated Machine Learning (AutoML) tools that simplify the process and reduce learning requirements.
AutoML is the choice for organizations that:
Custom ML is the choice for organizations that:
Process for AutoML
Process for Custom ML
Data science skills are appropriate for many ML projects, but may not be required for all. Automated Machine Learning (AutoML) is a variety of ML that does not require coding, and consequently relies less on data scientists. AutoML users who are data-savvy and have access the required data sets can produce good results without any data science training. Data scientists may benefit from AutoML as well by obtaining fast test results that help guide custom work.
Organizations that develop custom ML applications, especially for academic research or for embedding in other proprietary technologies, will require data scientists.
Squark’s no-code AI SaaS platform and API is for Revenue Operations and serves industries like media & entertainment and SaaS, gaming and casinos, and healthcare marketing, delivering unmatched flexibility, speed, and ease-of-use for AI automation. Uncover AI-driven insights from your existing tabular and textual data using clicks instead of code. Prioritize decisions and take action based on data from any system, driving growth and expansion through customer outcome forecasting, attribution and media mix understanding, lifetime value prediction, and enhanced retention. Squark’s no-code AI boasts the simplicity of a spreadsheet while providing award-winning, powerful, accurate, scalable, and feature-rich capabilities including a powerful API surpassing many contemporary AI systems in business today.
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