Machine learning has led to advancements in technology. It gave us self-driving cars, speech recognition monitors, and an understanding of the human genome. All of these explain the wide application and importance of machine learning. We use machine learning without being familiar with it. It is truly a fascinating subject and you can explore endless possibilities if you master it. If you have made up your mind to step into this world of machine learning, let us help find a course for you. 

Data camp: Machine learning for everyone

Category:

Freshers

About the course:

This is an introductory course for machine learning. The tagline already explains that you don’t need coding experience for this course. The course is for two hours. These two hours are distributed among 12 videos. There are exercises as well. This course will introduce machine learning for you. It will further explain the difference between AI and machine learning. You will learn how machine learning impacts our technology because it is everywhere.

This is a good course for introduction and building concepts.

Coursera: Machine Learning

Category:

Freshers 

About this course:

This is hands down the best course for machine learning. You can see it from the reviews. 92% of the students awarded this course a five-star rating. Moreover, your instructor Andrew NG is a top instructor of Coursera. You will learn and practice machine learning techniques. The course is based on practical more than theoretical concepts. All the learning will be practice-based. You will learn about both machine learning and AI. In the end, you will gain skills like logistic regression and machine learning algorithms. 

This is truly an exceptional course. The instructor shares his own experience and gives out detailed insights about the topic.

SkillShare: Building Recommender Systems with Machine Learning and AI

Category:

Experienced 

About this course:

This is an intermediate-level course. The course focuses on using machine learning and AI to build recommender systems. Skillshare offers a one-month free trial. This one will take 9 hours to complete. It has been divided into 117 lessons. Here is what you will learn in this course,

• Introduction to recommender systems
• Introduction to python 
• The architecture of a recommender system
• Coding
• Deep learning 

At the end of each session, you will have quizzes to test your abilities.

EdX: Machine learning with Python for finance professionals

Category:

Experienced 

About this course:

This is a free machine learning course for finance experts. The course aims to use machine learning to save time and be efficient. The time duration of this course is 5 weeks. It will be sufficient if you work 4-5 hours per week. You can go at your own pace. Machine learning can do so much for businesses. The main focus of a business is the customers. We use machine learning to build chatbots and provide better customer services. 

You will learn about python, different data science models, and artificial intelligence. The complete course is free but you will have to pay $199 for the certificate. Certification has its benefits; it adds value to your resume. 

EdX: Machine learning fundamentals

Category:

Fresher 

About this course:

This one is a beginner-level course focused on the use of machine learning and data sciences. Through this course, you will understand the role of machine learning in data analysis, prediction, and decision-making. There are two sessions available for this course. It is free but you can upgrade with money. You will learn many different machine learning models and ensemble methods. This is a useful course for people new to this niche. 

You will learn many things from this course. 

Conclusion:

Machine learning has both the need and scope for the future. Choosing machine learning is a wise decision. Many researchers think it is the key to develop human-level intelligence in our technology. Maybe you can help out with this.

All these courses are a few of the best machine learning courses. I have categorized these courses according to your level. It is up to you what you choose.