Machine Learning course by Andrew Ng & Stanford review
As I will say later, this course is the best choice for beginners, but everything in our world has drawbacks. I tried to notice some of them and attach links to sources, studying which you should have a more complete picture of Machine Learning and Data Science.Oct 29, 2021Is Andrew Ng's course on machine learning worth the money?
And, to answer your question, YES, Andrew Ng's course is still regarded as one of the best machine learning courses ten years after it was published, and you may, therefore, consider spending your money on it. Overall, this has become a typic
Is a machine learning course worth it?
If the question is about what you pay worth, you need to consider the course from below to aspects. Are you planning to switch to an ML career for better growth and a sustainable future? Then No, it isn't worth it. Why? Because of its lack in industry-oriented machine learning concepts as well as hands on training. 2.
Is Andrew Ng’s courses still the best course online?
Andrew Ng’s Courses is one of the top-rated machine learning and data science courses online. It has been rated 4.9 out of 5 via 1,61,096 reviews and pursued by 4.2M students. Even after the 8 years of its publication, the courses are still doing an Unbelievable business. But that does not mean it's the still best course.
Which Coursera course is best for machine learning?
Coursera’s ML course: The course is best if you are looking forward to start learning Machine Learning for the very first time but, if you are looking for a course that will train you to become a ML engineer, then this course will not be the best choice.
Is it worth paying for Andrew Ng's machine learning course on Coursera?
Obviously, It is an approach worth paying for Andrew NG's Machine Learning Course that is offered by coursera. But if you have knowledge about basics of data science, machine learning and artificial intelligence at that point you can join this course then it is beneficial for you.
Is Andrew Ng's machine learning course free?
If you want to take Andrew Ng's Machine Learning course, you can audit the complete course for free as many times as you want.
Which is the best course for machine learning?
Best 7 Machine Learning Courses in 2022:Machine Learning — Coursera.Deep Learning Specialization — Coursera.Machine Learning Crash Course — Google AI.Machine Learning with Python — Coursera.Advanced Machine Learning Specialization — Coursera*Machine Learning — EdX.Introduction to Machine Learning for Coders — Fast.ai.
What is the net worth of Andrew Ng?
In 2018, he launched and currently heads the AI Fund, initially a $175-million investment fund for backing artificial intelligence startups. He has founded Landing AI, which provides AI-powered SaaS products....Andrew NgSpouse(s)Carol E. ReileyChildren214 more rows
Is Andrew Ng course in python?
Andrew Ng will not teach you the programming part in python but if you want you can learn it from YouTube. You can also submit the programming assignment in python and get graded. if you want then you can submit your assignments in python and get graded .
Are certificates from Coursera valid?
Note: Coursera certificates are verified with its partnered University or Organization and recognized by future employers. Coursera offers a range of subjects that are broken into 11 topic areas that include; Data Science.
How long does it take to complete Andrew Ng course?
This 11-week completely online course is comprised of video and reading lectures, quizzes, and programming assignments. Not all weeks will contain programming assignments, but every weekly topic will have its quiz.
Are machine learning certificates worth it?
Last but not least, a machine learning certification can increase your earnings. 28% of IT professionals report that earning a certification resulted in salary increases, and 216% reported a promotion.
Is machine learning hard?
Learning how to use machine learning isn't any harder than learning any other set of libraries for a programmer. The key is to focus on USING it, not designing the algorithm. Look at it this way: if you need to sort data, you don't invent a sort algorithm, you pick an appropriate algorithm and use it right.
How much do AI researchers earn?
AI Researcher SalariesJob TitleSalaryContinental AI Researcher salaries - 1 salaries reported$5,500/moOracle AI Researcher salaries - 1 salaries reported$50,000/yrMinistry of Manpower AI Researcher salaries - 1 salaries reported$1,600/moSamsung Electronics AI Researcher salaries - 1 salaries reported$80,000/yr16 more rows
Who is the head of AI at humans?
Dr. Nicu Sebe. He was recently named Head of AI at Humans.ai, the Romanian deep-tech startup building blockchain-based platform for AI-based creation and governance.
How do you pronounce ng in Andrew Ng?
The correct spellings are Nguyễn and Nghiêm. In both cases, the e is an uh-sound, and ng(h) represents the -ng of words like sing and ring, so a single nasal sound arriculated with the tongue in the same position as a g, but no separate g-sound.
When learning something new, especially if it’s a big and unknown area like Machine Learning, is it good?
When learning something new, especially if it’s a big and unknown area like Machine Learning, it’s great if you can keep some initial healthy level of ignorance of all the inner complexities.
Who is Andrew Ng?
Andrew Ng is Founder of DeepLearning.AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine learning, robotics, and related fields. Previously, he was chief scientist at Baidu, the founding lead of the Google Brain team, and the co-founder of Coursera – the world’s largest MOOC platform. Dr. Ng now focuses his time primarily on his entrepreneurial ventures, looking for the best ways to accelerate responsible AI practices in the larger global economy.
What is neural network?
This week, we are covering neural networks. Neural networks is a model inspired by how the brain works. It is widely used today in many applications: when your phone interprets and understand your voice commands, it is likely that a neural network is helping to understand your speech; when you cash a check, the machines that automatically read the digits also use neural networks.
Why did Andrew Ng use Octave?
Andrew Ng explains that he decided to use Octave because of its’ simplicity which enables the students to focus on the logic and the algorithms without getting distracted by some complex environment setup.
What is SVM in learning?
This week, you will be learning about the support vector machine (SVM) algorithm. SVMs are considered by many to be the most powerful ‘black box’ learning algorithm, and by posing a cleverly-chosen optimization objective, one of the most widely used learning algorithms today.
Why is regularization important in machine learning?
We’ll introduce regularization, which helps prevent models from overfitting the training data.
Is machine learning the best course?
I can definitely say that the quality of the Machine Learning course is one of the best I’ve seen. Every piece of content – videos, graphics, written materials, are very well edited and structured.
What is machine learning?
Machine learning is an essential part of Data Science and Artificial Intelligence. So other than this course provided by Coursera, there are few good platforms that offer training in Data Science and Artificial Intelligence. Edureka, Simplilearn, Intellipaat, Learnbay are few among them.
How does machine learning help us?
Machine learning has given us self-driving cars, effective speech recognition, and a better understanding of the human genome in the last decade.
How long is the AI and ML certification course?
For domain elective training, I suggest you enrol for Advanced AI and ML Certification by Learnbay, collaborating with IBM. It’s a 9-month course at 79,000 INR fees.
Why is machine learning important?
Machine Learning is required for tasks that are excessively mind boggling for people to code directly. A few tasks are intricate to the point that it is illogical, if certainly feasible, for people to turn out to be the entirety of the subtleties and code for them expressly.
How many steps do you need to take after Andrew Ng?
You need to take two immediate steps after the completion of Andrew Ng’s course.
Where is Learnbay institute?
Learnbay institute in Bangalore (Recommended) is a place where you can find everything that a newcomer is needed. They provide online training mode sessions that is very interactive with the trainers you can ask anything and at any time.
Can I become an engineer with a B.tech?
Domain specialization: If you have a B.tech, it is not necessary that you become an engineer. It's possible that you want to go into business and pursue an MBA afterward. Additionally, if you are not from a technical background but are interested in making a career in AI, domain specialization might be a great asset. If you already have skills in HR and marketing and want to take advantage of those skills in your upcoming career choices, domain specialization is for you.
How many courses has Andrew Ng created?
He has created over 31 courses in Coursera and got more than 5 million enrollments which are insane, and most of the world’s best instructors can’t even get close to this huge number. You can join any of Andrew Ng’s courses when learning about AI or Machine Learning; he is a genius and master teacher.
What is the AI course on Coursera?
This course will give you an overview of artificial intelligence and how the world and economy can benefit from this technology. Still, if you want to have a career in AI, you have to see other practical courses that will teach you machine learning and deep learning in-depth.
What is AI for everyone's courses?
As I said then, AI for everyone’s courses is a great introductory course to give everyone theoretical knowledge about Artificial Intelligence.
What are the phases of AI?
After learning the principles of artificial intelligence and machine learning, you will move to the workflow phases of how someone can build AI projects like data collection & pre-processing, model training, model evaluation, and more.
How many people have joined AI for everyone?
Talking about AI For Everyone, more than 7100K people have joined this cours which is one of the biggest social proof of the quality of the course. More than 12% of learners who joined this course also got a new job or career benefit which is another good thing about this course.
How much will AI cost in 2030?
There is no doubt that AI (Artificial. Intelligence) is the future skill, with an estimated 15 billion dollars by 2030 to contribute the new science to the world.
Is artificial intelligence the future?
So we understand from all of these statistics that artificial intelligence is the future and most companies should apply this field in their system to leverage its power of making user’s life easier.
Intro
High-Level Overview
- This course is about Machine Learning fundamentals. You will get deep familiarity with a broad spectrum of topics starting from Logistic Regression through Support Vector Machines, Neural Networks, clustering algorithms, just to name a few. You will also learn some handy techniques to debug your models – something that can be quite tricky in ML and...
Success Factors
- The course has built an excellent reputation for itself since it was launched. It’s one of the most popular and highest-rated courses from the online learning platforms I have experience with: Indeed, this is not a coincidence. Let’s discuss some of the success factors.
The Drawbacks
- Now, although I strongly recommend taking the course, it also has its drawbacks. In this section, I have collected different opinions on the cons. I agree with some of them, but I don’t with others. Let’s discuss them in detail.
Time to Complete
- The course home page states that it takes students around 60 hours to complete it. I think that’s a pretty accurate estimation. From my personal experience, I managed to finish it for less than 3 months, spending 5-7 hours per week.
Pricing – Free Without A Completion Certificate
- The pricing depends on whether or not you’d like to receive a completion certificate. To be precise, the course is: 1. Free without a Certificate. 2. $79 with a Certificate There are plenty of discussions if/how valuable a certificate is from an online learning platform. It’s true that in most cases, employers don’t pay a lot of attention to such certificates when screening a candidate. Sti…
Course Content Overview
- In this section, I’ll give a brief summary of every week’s content. Most of the screenshots and descriptions below are taken directly from the lectures.
Summary
- This was everything I wanted to share about this excellent course. I firmly believe it’s a great way to start exploring the field of Machine Learning. I hope you’ll give it a shot and enjoy it to the same extent that I did. In the next post, I’ll do a full review of the Deep Learning Specialization. Thanks for reading and see you next time!
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