ML Algorithms

ML Algorithms

ML Algorithms This course is part of Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization Taught in English Instructor: Whizlabs Instructor Enroll for Free Starts Mar 28 Financial aid available Included with • Learn more Course Gain insight into a topic and learn the fundamentals Beginner level Recommended experience Close Recommended experience Beginner level

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Description

Machine learning (ML) algorithms have revolutionized the way data is analyzed and processed in today’s digital world. These algorithms utilize mathematical and statistical techniques to enable computers to learn from and make predictions or decisions based on data. From predicting stock prices to diagnosing diseases, ML algorithms have a wide range of applications across various industries.

One of the key benefits of ML algorithms is their ability to handle large and complex data sets with ease. Traditional methods of analysis often fall short when faced with massive amounts of data, whereas ML algorithms can quickly sift through vast amounts of information to find patterns and insights that may have been previously undiscovered. This has led to groundbreaking advancements in areas such as healthcare, finance, marketing, and many others.

There are several types of ML algorithms, each with its own strengths and weaknesses. Supervised

ML Algorithms

Whizlabs Instructor

Instructor: Whizlabs Instructor

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

4 hours (approximately)
Flexible schedule
Learn at your own pace

What you’ll learn

  • Determine algorithm concepts in ML

  • Design Regression algorithms and Classification based algorithms

  • Examine Reinforcement learning algorithms and Forecasting algorithms

Details to know

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Assessments

5 quizzes

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