Machine learning (ML), under the umbrella of Artificial Intelligence (AI), allows computers to learn without being explicitly programmed. Machine learning algorithms are trained according to data to make predictions or decisions. Deep learning is part of ML and uses artificial neural networks (ANNs) to learn from data. With ML and deep learning, we can automate analytical model building and use algorithms to see patterns and predict outcomes.
Accelebrate's in-person or online Machine Learning training courses teach teams how to use ML data science technologies such as Python, TensorFlow, Keras, and AWS cloud tools. Let us craft a Machine Learning training upskilling program tailored to your team's needs, including live, interactive classes with project-based learning and hands-on practice.
Are there different types of Machine Learning? Yes, they are supervised, unsupervised, and reinforcement learning.
AI, ML, and Deep Learning: What's the Difference?
To learn more about Machine Learning with Python, watch our 1-hr pre-recorded Webinar:
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"Great Introduction to Data Science that will fully equip you to take your data and perform ML methods with it right away!"
-Volha K, CDC
"The instructors could cover a vast array of machine learning and NLP topics in digestible, easy-to-understand lessons. They easily adapted the course content to the needs and learning speeds of the students."
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