Machine Learning A to Z Udemy Reviewed & Evaluated

Machine learning a to z udemy review
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This is a great course for beginners & intermediate learners. A little background in math is surely needed to make the most of it. However, advanced learners won’t benefit from it much.

 

Machine learning is the future and has a multitude of pros associated with it. So, if you, too, are contemplating signing up for Udemy’s Machine learning A to Z, we are here to help you make a quick decision.

 

We will give a detailed machine learning A to Z Udemy review here. So, if you are interested in this class by Kirill Eremenko and his proficient SuperDataScience team and deliberating whether it is a hit or miss, you are in the right place.

 

By the end of this review, it will be easier for you to decide whether this class is worth your time, effort, and money.

 

Over 910,470+ students have already taken this class, and 164,261 students collectively gave it a 4.5 rating. So, it is safe to say that thousands of students who learned machine learning with Kirill Eremenko appreciate his effort.

 

In addition, it is an affordable session that will equally delight beginners, intermediate, and advanced learners interested in machine learning. The class is engaging, vast, and intuitive, courtesy of the many hands-on exercises and assignments. So, in short, yes, we do recommend it.

 

Hence, you will not regret taking this class. Let us delve deeper and start this machine learning A to Z review.

 

Machine Learning A To Z Udemy Overview

This Udemy course awards you with a certificate of completion. It is affordable. However, it contains only recorded lessons. A few live sessions in the end or doubt classes for learners would have given it a good boost. But fortunately, the instructor is responsive.

 

So, if you have queries, you can write to them, and they will address your doubts in a few hours. You also get a generous 30-day refund policy.

 

Certificate Yes
Cost $16.99
Duration 42h 32m
Rating 4.5
Video Lessons Yes
Live Classes No
Subtitles Yes
Responsive Instructor Yes
Query Resolution In a few hours
Prerequisites Basic high school level mathematics
Refund policy 30-Day Money-Back Guarantee

 

What’s to Like In Udemy’s Machine Learning A To Z?

1. Comprehensive but well-structured topics

It is a detailed class with 42 hours of on-demand video. The whole course has forty-six sections, and they are broken down into bite-sized 381 lectures. It makes learning straightforward.

 

You can review the index and know which content you can find where, which is easier when you have to revise a particular section after completing the whole course.

 

Moreover, across the class, every individual unit and part is independent. So, if you have a prior background, you can take any particular section instead of the whole course and save some time.

 

But it covers everything about machine learning from the base to the advanced learner. Thus, comprehensiveness is appreciable.

 

2. No prerequisites

The instructor presumes no former knowledge of machine learning to take this class. But, of course, it helps to be well-versed in high school-level mathematics. Beyond that, there is no special preparation needed.

 

3. Proficient Instructor

In this class, you will study with a machine learning and a data scientist expert. So, he knows what he’s teaching. Moreover, he has been a part of the industry for many years. So, you get an insider’s view into what it will be like to be a part of this industry.

 

4. Step-by-step progression

The instructor will walk you through all the topics in a step-by-step manner. So, firstly, he will work on your fundamentals, take you through the intermediate concepts, and finally help you comprehend the advanced topics.

 

With every lesson, you will acquire new skills and amplify your understanding of this complex but lucrative field.

 

5. Real-life case studies

You will find tons of real-life case studies and practical exercises in this class. So, you will grasp a good mix of theoretical and practical learning while simultaneously building your models. These projects can add value to your portfolio and amplify your chances of landing your dream job.

 

6. Mass appeal

One of the most likable things that we would like to point out in this machine learning A to Z Udemy review is that this Udemy class has a mass appeal, implying it can prove beneficial for several learners like:

  1. People interested in machine learning
  2. Intermediate-level learners who have some background in machine learning.
  3. Students who are not well-versed in coding but want to learn machine learning for easy application in datasets
  4. Those interested in starting a career in data science
  5. People who wish to become data scientists
  6. Data analysts who want to get well-acquainted with machine learning
  7. Anyone hoping to add value to their business with solid machine learning tools

 

7. Certification

Certification is an authentication of your skill and knowledge, and this class comes with a certificate of completion. It is a shareable certificate. You can download, print, and include it in your CV or share it on social media.

 

Regardless it will be a new feather in your resume and amplify your chances of landing your preferred job in the domain.

 

8. 30-day moneyback guarantee

One of the best things about Udemy courses is their 30-day money-back guarantee. So, during the period, if you do not like what’s delivered, you can reach out to the Udemy team, and they will issue your refund.

 

9. On-the-go access

You can view the class on your phone, laptop, TV, and tablet. Moreover, the session can be enjoyed both online and offline. So, it will prove beneficial for students who have a packed schedule.

 

10. Targets learners from different countries

You can take the class with English, Arabic, Vietnamese, Italian, Portuguese, Simplified Chinese, Thai, German, Indonesian, French, Spanish, Turkish, and Japanese audio.

 

Course Content and Its Quality

As stated, it is a comprehensive but well-structured class. A few of the things you will discover in this session are:

  1. Making power-packed analyses and accurate predictions
  2. Developing an intuition for different machine learning models
  3. Familiarity with machine learning in R and Python
  4. Bringing excellent value to your business
  5. Understanding which machine learning model to pick for a given problem
  6. Fundamental clarity on advanced techniques like Dimensionality Reduction
  7. Clarity on topics like Deep Learning, NLP, and Reinforcement Learning
  8. Employing machine learning knowledge on your personal projects
  9. Creating several powerful machine learning models and combining them to solve problems

 

Beyond the theoretical concepts, you will find practical exercises for every section, which make the content intuitive and help you learn by doing.

 

It contains 42 hours of on-demand video, 38 articles, and nine downloadable resources. All of this adds to the comprehensiveness of this class.

 

What Do The Students Have To Say About The Course?

Here are just some of the reviews out of the hundreds of reviews from the students who took this class:

  1. ‘Great course. It had a very good overview of the different types of algorithms and the hands-on exercises were appropriate and very useful as well!’ – Mark S.
  2. ‘A very good course covering both the theory and coding for Machine Learning. I used it as a supplement to my college ML course. very helpful!’ – Dan Z.
  3. ‘They don’t explain the math well. If they’re not going to do a good job explaining the math then they should leave it out. Also, the Deep Learning sections are terrible. A lot of the stuff is out dated and it’s very difficult to follow the practical examples.’ – James K.
  4. ‘The course is not worth it. The hands-on part is satisfactory, but the explanations are extremely poor.’ – Shiva S.

 

From the above reviews, we can conclude the following:

  1. Students who took this class found it worthwhile because it covers many hands-on exercises and algorithms that form a good base for practical working. However, the explanations don’t seem to satisfy learners with no Math background. But, since the course mentions Math as a prerequisite, we don’t blame the instructor.
  2. Several sections in this class are dated. It is a significant low because students want to learn the best and the latest information. Thus, instructors must immediately try to eliminate this content and replace it with new sections.
  3. It is a good mix of theoretical and practical learning, which is praiseworthy.

 

Instructor Reputation

Kirill Eremenko, a professional data scientist, drafted and compiled this class with his team. He is a proficient expert with a 4.5 instructor rating and has about fifty-nine courses online. In his long career, he has taught 2,265,238 students and has been lauded by students worldwide.

 

Kirill is deep into the consulting space and has experience in transport, retail, finance, and other industries. He received his training from some adept instructors at Deloitte Australia. Of the many thousands of students he taught, many are successful data scientists in top companies around the world.

 

Kirill’s team that micromanages this course and takes some of the lessons in this class includes Hadelin de Ponteves and experts from Ligency I Team and Ligency Team.

 

All three have independently and jointly taken several online courses on this domain and are well-appreciated by the students they have taught. It is evident from the reviews they receive and the success that their students enjoy in their careers.

 

One of the best things about this team is that they know how to work with the students. They focus on intuitive, step-by-step learning and explanations. Therefore, they simplify even the most complex topics for the learners.

 

In addition, they are passionate about teaching and data science. Hence, they intend to share it with you all.

 

Related: Udemy Python Bootcamp Zero to Hero Review|Python For Everybody Specialization Coursera Review

 

Any Scope for Improvement In This Course?

In this machine learning A to Z review, we are not here to state only the positives about this course. We believe you can only make an informed choice if you know both highs and lows.

 

There is no denying it is a superior Udemy class, but it still has some areas where it can work. These include:

 

1. Poor structurization in some lessons

While most of this course is well-structured, you will find gaps and missing links in some lectures. Moreover, some classes do not match the topic, which can be off-putting for some students.

 

2. Mathematical explanations poor

The data science models’ mathematical explanation or treatment feels sub-par. However, the walk-through videos seem stretchy and have unnecessary fluff, which makes students lose time.

 

3. Not the best suited for advanced learners

Contrary to what’s claimed, this class will not bring much value to advanced learners. Even though it is the best class for beginners and intermediate students, it has very little content that targets experienced students. It can be disheartening for them.

 

4. Algorithms are not properly covered.

The explanations for the algorithms are too short and weak. The instructor should put more effort into it because it is one of the most vital attributes related to data science and machine learning.

 

5. Technical jargon and language

In several places, the instructor uses industrial jargon and terms. They do not work for introductory learners. Though they are explained later in the video, it gets confusing initially.

 

Final Word – Is Machine Learning A to Z Worth It?

Overall, it is one of the best online courses for machine learning. It covers everything from the basic to an advanced level and takes you through the nitty-gritty effortlessly. The progression from the foundation courses to the complex topics is praiseworthy.

 

It contains multiple hands-on exercises and practical matter that helps you learn by doing. The instructor is responsive and takes barely any time to revert to queries.

 

Though not the most affordable classes online, you can snag a good deal on it because of the many sales and offers. If the instructor works a little on explanations, adds more content for the advanced learners, and eliminates jargon, it can be a flawless Udemy course.

 

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