Machine Learning (ML) is a branch of Artificial Intelligence (AI) that enables machines to learn from data and improve their performance over time without explicit programming. It involves building models and algorithms that allow machines to learn from patterns in data and make predictions or decisions based on those patterns.
According to Glassdoor, the average base salary for a Machine Learning Engineer in the US is around $132,000 per year. The demand for ML professionals is expected to grow rapidly in the coming years, with a projected 36% increase in job openings from 2021 to 2031, according to the US Bureau of Labor Statistics, making it a lucrative career choice.
This blog reviewed six top-rated Machine Learning courses based on their curriculums, instructor expertise, and student reviews. So, begin your journey to becoming a successful ML Engineer today and unlock a world of possibilities!
List of Top Machine Learning Courses to Learn Online
- Supervised Machine Learning: Regression and Classification: This is one of the best ML courses for those looking to dive deep into supervised learning techniques like regression and classification.
- Machine Learning A-Z™: Python & R in Data Science : This is a top pick. The course covers Python and R, making it ideal for data scientists looking to enhance their skills.
- Machine Learning Specialization: This course offers a comprehensive overview of the field, covering everything from the basics to advanced topics like neural networks and deep learning.
- How to Think About Machine Learning Algorithms: For those who want to understand the fundamental concepts behind machine learning, this is the right fit.
- Machine Learning with Python: This program focuses on ML using Python. The course provides hands-on experience with practical exercises, allowing students to gain valuable skills.
- Machine Learning-Stanford University: This is one of the best courses as it provides an in-depth overview of ML and AI.
Our Criteria for Choosing These Best Online Machine Learning Courses in 2023
When choosing the best course to learn machine learning in 2023, we considered several important criteria to ensure that each course provides a high-quality learning experience:
Eligibility criteria: We checked each course’s eligibility criteria to ensure that they are accessible to learners of all levels, from beginners to advanced students.
Course curriculum: We evaluated each course’s curriculum to ensure that it covers essential topics such as supervised and unsupervised learning, deep learning (DL), and neural networks.
Teaching methodologies: A variety of teaching methodologies, including lectures, hands-on coding exercises, and real-world case studies, to provide a comprehensive learning experience.
The reputation of the course: We considered the reputation of the course or institution offering each course, looking for programs with a proven track record of delivering high-quality education and producing successful graduates.
Instructors rating: The ratings and reviews of each course’s instructors to ensure that they are highly qualified and experienced in the field of Machine Learning.
Cost: We evaluated the cost of each course to ensure that they provide good value for money and are accessible to learners with different budgets.
Job placement and career support: This includes access to career coaches, mentorship, and job placement assistance, to ensure that students have the resources they need to succeed in their careers.
6 Best Courses for Machine Learning (Detailed Review)
Looking for the best courses to learn machine learning online? Our thorough review of the top 6 programs in the field has got you covered!
This machine learning course is an excellent option for beginners and advanced-level students. The program is in-depth and covers various machine learning models using popular libraries like NumPy and sci-kit-learn. You can expect to learn supervised ML models, including linear regression and logistic regression.
It includes practical exercises that give you hands-on experience in building and training machine learning models. The course offers a certification on completion, which will take about 33 hours to complete. The pricing o is value for money, starting from $39.99 a month, and financial aid is available.
It is taught by four instructors, including Andrew Ng, a renowned AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. The other instructors include Eddy Shyu, Aarti Bagul, and Geoff Ladwig who are experts in this field.
This high-quality course has received rave reviews, with 4.9 out of 5 stars which speak for itself. It offers a broad introduction to modern ML, including the best practices used in Silicon Valley for machine learning innovation.
If you want to build a career in this field, the Supervised Machine Learning: Regression and Classification course is the best place to start. Start your machine learning journey today!
This is a comprehensive course to learn machine learning, and it’s designed for newcomers and experienced students to assist them in learning ML’s complex theory, algorithms, and coding libraries. The program includes a total of 42 hours of on-demand video.
The course covers the various aspects of machine learning, such as data preprocessing, regression, classification, clustering and association rule learning, and reinforcement learning. Each section inside each part is independent, so you can jump right into any specific section and learn what you need for your career right now.
One of the best things about this program is that it is packed with practical exercises that are based on real-life case studies where you can practice building your own models. The course is taught by two industry experts, Kirill Eremenko and Hadelin de Ponteves, who are highly experienced in the field of data science. Both of them have taught 40+ courses to date.
You will also receive a certificate of completion to showcase your skills to your potential employers. This course is a great value for money at only $84.99/month, and top companies such as Nasdaq and Eventbrite offer it to their employees. 926,528 students worldwide trust this program because of the excellent curriculum and the brilliant instructors.
With a rating of 4.5 out of 5, there is no reason for you not to take the next step. Enroll now and begin your machine learning journey today!
This high quality machine learning course is perfect for advanced-level students. It covers a wide range of topics in-depth, including Prediction, Classification and Information Retrieval. You can expect to learn how to analyze complex datasets and build intelligent applications that can make predictions from data.
The course offers practical exercises that allow you to gain hands-on experience. Throughout the course, you will implement and apply predictive, classification, clustering, and information retrieval ML algorithms to real datasets. By doing so, you will be confident that you have gained applied machine learning and Python programming experience.
The course is taught by leading researchers at the University of Washington, including Emily Fox and Carlos Guestrin. Both are Amazon Professors of Machine Learning, and they bring years of experience. The instructors are engaging and knowledgeable, making the learning process fun and enjoyable.
Upon completion of the program, you will earn a Certificate that you can share with prospective employers and your professional network. Additionally, the course is offered at an affordable price of $39.99/month, which is value for money considering the knowledge and skills that you will acquire. Start learning today and see for yourself how much you can achieve.
Start your machine learning education on the right foot with this amazing course!
Pluralsight’s “How to Think About Machine Learning Algorithms” is a top-rated course to start with. This beginner-level program is designed to help you identify whether ML can solve a real-world problem. The duration is just 3 hours and 8 minutes, making it a time-efficient way to learn.
In this online course, you will have practical hands-on exercises where you will learn how to model real-world situations as one of the four basic approaches: classification, regression, clustering, or recommendation. You will also learn how to set up the problem statement, features, and labels, and plug in a standard algorithm to solve the problem.
The instructor, Swetha Kolalapudi, is an experienced data scientist with a passion for teaching. She has an entrepreneurial bent and is the co-founder of Loonycorn, a content studio focused on providing high-quality content for technical skill development. Swetha has also taught other relevant programs in the field of data science.
Pluralsight offers a certificate of completion upon finishing the course, and The pricing is reasonable, with a 10-day free trial and a monthly subscription fee of $19. Overall, “How to Think About Machine Learning Algorithms” by Swetha Kolalapudi is a great value for money, and it has received a 4.5/5 rating from 302 students.
So, what are you waiting for? Transform your career with this online course for machine learning!
This Machine Learning Course is an ideal starting point for beginners interested to learn Deep Learning. With 12 hours and flexible deadlines, you can start understanding immediately and pace things according to your schedule.
This course covers a wide range of topics, including supervised vs. unsupervised learning, linear and non-linear regression, classification techniques, and clustering. You’ll also apply your knowledge through hands-on labs. The final project will allow you to demonstrate your skills by building, evaluating, and comparing Machine Learning models using different algorithms.
The instructors Saeed Aghabozorgi, and Joseph Santarcangelo are senior data scientists with excellent ratings. You can expect a thorough and engaging learning experience from them. Additionally, IBM Skills Network offers certification upon completion of the course, giving you job-ready skills to add to your resume.
Pricing is $39.99 per month, which includes access to all programs under the IBM Skills Network. With the quality of content and hands-on experience offered in this course, it is definitely value for money. The course has received 4.7 stars from 13,752 ratings, indicating high satisfaction among students.
Enroll now and learn from the best in the industry with these machine learning classes from Coursera!
The 10-week program is created to cater to both novice and proficient learners, ensuring accessibility for all. Its time-efficient structure makes it an ideal option for learning.
This course about machine learning covers a wide range of topics, including supervised and unsupervised learning, deep learning, and best practices in ML. You can expect to learn about the theoretical underpinnings and gain practical experience implementing these techniques to solve real-world problems.
Throughout the course, you’ll have the opportunity to gain hands-on experience with practical exercises. This will help you develop the skills needed to apply machine learning techniques to new problems quickly and effectively. On completion, you’ll receive a certification, which can help you stand out in a crowded job market.
Unfortunately, we could not find the price of this course for you. The course is taught by Andrew Ng, a leading expert in the field of ML. Ng is also the instructor for several other relevant programs, making him a trusted source for learning about this exciting field. With over 43,000 ratings on Coursera, this course has received a 4.9 rating, making it an excellent choice.
Top Online Courses for Machine Learning – FAQs
Which Are the Best Courses for Machine Learning?
Many great courses are available for learning machine learning, and the best one for you will depend on your current skill level, learning style, and specific interests. One particular course that we’d recommend is Machine Learning A-Z™: Python & R in Data Science on Udemy because of its comprehensiveness.
How long does it take to learn machine learning?
Typically, a machine learning curriculum lasts for about six months, but becoming proficient in multiple areas for a specific role may take several years to master. Since everyone’s machine learning trajectory is unique, it’s important to consider your skills and background.
Can I Complete Machine Learning Courses in 1 Month?
It’s unlikely that you will be able to learn all of the necessary skills in such a short time. Machine learning requires a strong foundation in math, statistics, and programming and extensive practice with real-world datasets and projects.
To conclude, the world of ML is expanding at an unprecedented pace, and there’s no better time than now to jump in and start learning with knowitGetit.com. By exploring the best machine learning courses available, you can acquire the knowledge and skills necessary to tackle complex data-driven problems and drive innovation in your field.
Whether you’re a beginner or an experienced professional, there’s a high quality machine learning course that can help you achieve your goals. The options are endless, from the foundational principles of data analysis to advanced algorithms and predictive modeling.
So why wait? Invest in yourself today and enroll in one of the top-rated machine learning courses. With the right education and dedication, you can open the doors to new opportunities, advance your career, and make an impact in the world of AI and beyond. Who knows where it might take you?