Machine Learning (ML), a branch of Artificial Intelligence (AI), is becoming increasingly prevalent in our daily lives, often operating behind the scenes to enhance our experiences with technology. This sophisticated field is expected to grow significantly, with projections estimating its value to reach around $200 billion by 2029. Natural Language Processing (NLP) is a prominent application of ML, powering voice assistants and chatbots to understand and respond to our spoken commands. ML is also making significant strides in content accessibility, with auto transcription services converting spoken language into written text. Additionally, ML is being used for personalization, providing us with music playlists and job recommendations that are tailored to our individual tastes.
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