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This is a short video on Deep Learning to give you an overview of Deep Learning and how its useful to future technologies and researchers. It will also help you explore how it simulates its decision-making process by getting inspired by human thoughts.

Have you ever thought about how Google’s Voice search works? Or have you ever wondered how Netflix and Amazon give Movies and Product recommendations? Well, it’s all because of Machine Learning. Self Driving Cars, Image Recognition, and voice assistants are great examples that work based on machine learning algorithms. Fraud detection in Banking and cancer prediction in healthcare are also possible due to machine learning algorithms.

This free course on “Getting Started with Machine Learning Algorithms” will help you learn the widely used machine learning algorithms in great depth. You will understand supervised, unsupervised, and reinforcement learning algorithms. You’ll look at Linear Regression, Logistic Regression, Decision tree, Random Forest, K Means Clustering, PCA, Q learning, and more. By the end of this course, you will be trained in the skills crucial to becoming a data scientist, data analyst, statistician, or business analyst.

An understanding of basic machine learning, Python programming, and statistics would be
highly beneficial to enroll in this course.

The Machine Learning basics program is designed to offer a solid foundation & work-ready skills for machine learning engineers, data scientists, and artificial intelligence professionals. Gain hands-on experience in data preprocessing, time series, text mining, and supervised and unsupervised learning. The program is ideal for anyone looking to learn machine learning & kick start their career.

Machine Learning Skills you will learn

1. Supervised and unsupervised learning
2. Time series modeling
3. Linear and logistic regression
4. Kernel SVM
5. KMeans clustering
6. Naive Bayes
7. Decision tree
8. Random forest classifiers
9. Boosting and Bagging techniques
10. Deep Learning fundamentals

What should I learn first in the Machine Learning basics program?
Professionals who wish to start with Machine Learning first get a complete overview of Artificial Intelligence, its applications, and how various industries are using it. Then they learn about Machine Learning, its approaches, and techniques.

Are the Machine Learning foundations program easy to learn?
Simplilearn curates all of its courses as per the learners’ needs. Even if you don’t have any prior idea of Machine Learning, it will be easy for you to follow the video lessons covered in this Machine Learning fundamentals program.

What are the basics of a Machine Learning foundations training program?
Simplilearn’s Machine Learning free online course starts with the basics like how Machine Learning is related to artificial intelligence, common terminologies in this field, and types of Machine Learning - supervised, unsupervised, and reinforced.

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