This entry-level machine learning training prepares learners to transform huge amounts of raw data into not just useful information but actionable insights, predictions, and trend forecasts — all by using machine learning.
It's hard to overstate how much machine learning has changed what we understand about computers and what they're capable of. This course is an introduction to machine learning, and it tries to explain just how much is possible with machine learning. It's up to you to put all that to use in your own organization or work.
Fortunately, in addition to explaining the concepts, tools, and technologies that make machine learning possible, this course also has opportunities to practice actual implementation of machine learning. So you're not just learning the theory, you're actually gaining something you can immediately put to use.
Once you're done with this Introduction to Machine Learning training, you'll know how to transform huge amounts of raw data into not just useful information but actionable insights, predictions, and trend forecasts — all by using machine learning.
For anyone who leads an IT team, this data science training can be used to onboard new junior data scientists, curated into individual or team training plans, or as a data science reference resource.
Introduction to Machine Learning: What You Need to Know
This machine learning training has videos that cover data science topics including:
- Understanding the basic concepts of machine learning
- Making sense of huge amounts of data with machine learning solutions
- Implementing different model learning methods and techniques
- Configuring model training and tuning results
Who Should Take Introductory Machine Learning Training?
This machine learning training is considered associate-level data science training, which means it was designed for junior data scientists. This machine learning skills course is valuable for new IT professionals with at least a year of experience with data science and experienced junior data scientists looking to validate their data science skills.
New or aspiring junior data scientists. If you're a brand new data scientist, you don't want to start your first job without a familiarity with machine learning. Whether you're looking for your first job or you’re still a student, take this introduction to machine learning and bring all the capabilities and opportunities of machine learning with you to your first job.
Experienced junior data scientists. If you've managed to work as a data scientist for several years already without learning what machine learning is, well done. This introductory machine learning course will help you see how to profit by leveraging your own experience and knowledge with ML's speed and precision.