Applied Machine Learning Days (AMLD Africa)

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We are thrilled to announce the highly anticipated Applied Machine Learning Days (AMLD Africa), a groundbreaking conference dedicated to the latest advancements in Artificial Intelligence (AI) and Machine Learning (ML). The event is set to take place at the prestigious United States International University Africa (USIU) from February 26th to February 29th.

Key Highlights:

  1. Groundbreaking Insights: AMLD Africa stands at the forefront of the AI and ML revolution, offering a unique opportunity to delve into the latest advancements in Artificial Intelligence and Machine Learning. The conference serves as a melting pot of knowledge, showcasing cutting-edge developments in these dynamic fields.
  2. Distinguished Speaker Roster: This year’s conference presents a stellar lineup of speakers, featuring luminaries from Google, Novartis, Microsoft, Apple, IBM, Yale, and other leading names in both industry and academia. Their expertise promises to enrich discussions and inspire innovative thinking.
  3. Inclusive Agenda: AMLD Africa invites all AI and ML enthusiasts, professionals, and students to engage with a comprehensive agenda that highlights the pervasive influence of AI across diverse sectors. The event is meticulously crafted to cater to a broad audience, emphasizing the universal relevance of AI applications.
  4. Wide Applicability of AI: Tailored for diverse professionals and students, AMLD Africa showcases the broad applicability of AI in various domains. The event provides a platform for attendees to explore real-world applications, fostering a deeper understanding of AI’s transformative potential.
  5. Event Details:
  • Date: February 26th to February 29th
  • Venue: United States International University Africa (USIU)
  • Location: [Nairobi, Kenya]

About AMLD Africa: AMLD Africa is a premier conference series dedicated to advancing knowledge and innovation in Artificial Intelligence and Machine Learning. With a commitment to inclusivity, the conference brings together a diverse audience for collaborative discussions and learning.

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