Search

'How societies decide to weigh caution against the speed of innovation, accuracy against explainability, and privacy against performance will determine what kind of relationships human beings develop with intelligent machines.'

Even the smartest person in history couldn't have done everything he did without a lot of help from other smart people.

Google Cloud made a significant announcement today, revealing a plethora of fresh AI-powered functionalities for its productivity tools. However, the company's latest release of APIs and tools for developers is equally intriguing - and arguably, even more compelling.

At this year's Mobile World Congress, discussions around power consumption and sustainability took center stage as the industry grapples with the escalating energy costs and unprecedented data usage.

The 2022 Global Market Study of Data Science and Machine-Learning Platforms provides a comprehensive analysis of the industry's performance, competitive landscape, and global market trends.

Machine learning (ML) is an indispensable aspect of a data scientist's role, with valuable and highly sought-after skills that extend beyond the realm of data science.

The global market size for Machine Learning as a Service was USD 7.1 billion in 2022, and it is projected to reach USD 173.5 billion with a compound annual growth rate (CAGR) of 37.9% by 2032.

According to the Machine Learning Industry Data Book, 2023 - 2030 published by Grand View Research, the machine learning industry is set to experience significant growth due to the increasing use of AI and IoT devices.

NLP involves the analysis and processing of natural language data, including text and speech, for the purpose of executing specific tasks such as language translation, sentiment analysis, and chatbot interaction