Machine Learning Training Courses

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What is Machine Learning?

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. ML is a subset of AI that develops algorithms that can learn from data and then make predictions based on that data. Deep learning is a subset of ML that uses artificial neural networks (ANNs) to learn from data. Thanks to ML and deep learning, we can now automate the building of analytical models and use algorithms to infer patterns and predict outcomes.

ML Courses

Accelebrate's in-person or online Machine Learning 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 program tailored to your team's needs, allowing them to master building AI systems through live, interactive classes with project-based learning and hands-on practice.



View all our new Data Science, AI/ML & RPA Training courses.

Free Machine Learning Resources from Accelebrate

Are there different types of Machine Learning? Yes, they are supervised, unsupervised, and reinforcement learning.

  • Supervised learning is the most common type of ML, and the algorithm is given a set of labeled data. The algorithm then learns to predict the label for new data.
  • Unsupervised learning is used when the algorithm is not given any labeled data and learns to find patterns in the data.
  • Reinforcement learning is used when the algorithm is rewarded for actions that lead to a desired outcome. The algorithm then learns to take actions that maximize the reward.

AI, ML, and Deep Learning: What's the Difference?

  • AI is an umbrella term, meaning any system exhibiting intelligent behavior. ML and deep learning are specific techniques that can be used to achieve AI goals.
  • ML is a type of AI that allows systems to learn without being explicitly programmed. ML algorithms learn from data by identifying patterns and making predictions.
  • Deep learning is part of ML and uses artificial neural networks (ANNs) to learn from data. Neural networks mimic the human brain and can perform complex tasks by analyzing large amounts of data.

AI, ML, and DL: What's the Difference

To learn more about Machine Learning with Python, watch our 1-hr pre-recorded Webinar:

What our students are saying about our Machine Learning training:

"Well-informed and considerate instructors, always giving time to each student who needs clarity."

-Noah, CDC

"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."

-Tierney O, CDC

"Accelebrate has some really talented and experienced instructors that can help propose effective solutions if asked about a problem beyond the course material."

-Elshaimaa A, EBSCO

"The instructor is incredibly knowledgeable, quick to answer questions and quick to dive deeper into a topic."

-Michael M, EBSCO

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