Free online courseMachine Learning

Duration of the online course: 25 hours and 9 minutes

4.78

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(109)

Master Machine Learning with Stanford's free online course. Ideal for Information Technology enthusiasts, dive deep into 20 in-depth lectures on Python, Ruby, Java, and C.

Course Description

The "Machine Learning" course is a comprehensive and highly regarded program that spans a total duration of 25 hours and 9 minutes. This course has established itself as a standout educational resource within the Information Technology category and is specifically tailored towards individuals keen on acquiring specialized knowledge in multipurpose programming languages such as Python, Ruby, Java, and C.

Renowned for its in-depth content and expert instruction, the course has garnered an impressive average rating of 5 stars out of 5. Such high praise from previous participants underscores the course's effectiveness and the quality of the knowledge imparted. It has become a favored choice for aspiring machine learning practitioners and enthusiasts who seek to gain a solid foundation and practical insights into this cutting-edge field.

The curriculum is meticulously structured into a series of engaging and informative lectures, progressively covering key concepts and techniques essential for mastering machine learning. Starting with an introduction to the foundational principles, the course delves deeper, lecture by lecture, into advanced topics, ensuring learners build a cohesive and thorough understanding of the subject matter.

Throughout the course, students are guided through a rich tapestry of theoretical knowledge and practical applications. The lectures are designed to not only explain core concepts but also demonstrate their implementation using popular programming languages. As participants progress through the series, they gain hands-on experience and become proficient in applying machine learning algorithms and methodologies to real-world problems.

Overall, the "Machine Learning" course serves as an invaluable resource for anyone looking to delve into the realm of machine learning. Its meticulous approach, coupled with the high-quality delivery and practical exercises, ensures that learners are well-prepared to tackle the challenges and opportunities that come with mastering this transformative technology.

Conteúdo do Curso

  • Video class: Lecture 1 | Machine Learning (Stanford)

    1h08m

  • Video class: Lecture 2 | Machine Learning (Stanford)

    1h16m

  • Exercise: Which of the following describes what an “alvin” is?

  • Video class: Lecture 3 | Machine Learning (Stanford)

    1h13m

  • Video class: Lecture 4 | Machine Learning (Stanford)

    1h13m

  • Video class: Lecture 5 | Machine Learning (Stanford)

    1h15m

  • Exercise: What do you learn in a discrimitive learning algorithms?

  • Video class: Lecture 6 | Machine Learning (Stanford)

    1h13m

  • Video class: Lecture 7 | Machine Learning (Stanford)

    1h15m

  • Video class: Lecture 8 | Machine Learning (Stanford)

    1h17m

  • Video class: Lecture 9 | Machine Learning (Stanford)

    1h14m

  • Video class: Lecture 10 | Machine Learning (Stanford)

    1h12m

  • Video class: Lecture 11 | Machine Learning (Stanford)

    1h22m

  • Exercise: His advices are good if you want to:

  • Video class: Lecture 12 | Machine Learning (Stanford)

    1h14m

  • Video class: Lecture 13 | Machine Learning (Stanford)

    1h14m

  • Video class: Lecture 14 | Machine Learning (Stanford)

    1h20m

  • Video class: Lecture 15 | Machine Learning (Stanford)

    1h17m

  • Video class: Lecture 16 | Machine Learning (Stanford)

    1h13m

  • Exercise: What MDP means?

  • Video class: Lecture 17 | Machine Learning (Stanford)

    1h17m

  • Video class: Lecture 18 | Machine Learning (Stanford)

    1h16m

  • Video class: Lecture 19 | Machine Learning (Stanford)

    1h15m

  • Exercise: Which of the following is the first step if you want to design a controller to a helicopter?

  • Video class: Lecture 20 | Machine Learning (Stanford)

    1h16m

Machine learning

Free online courses on Machine learning

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Machine Learning for Data Science and Analytics

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The field of machine learning is ever-evolving, and our courses ensure you stay up-to-date with the latest trends and technologies. Explore topics like AI ethics, the role of ML in the Internet of Things (IoT), and how machine learning is revolutionizing fields like autonomous vehicles and natural language processing.

Why Choose Our Free Online Machine Learning Courses?

Our curated list of free online machine learning courses offers unparalleled accessibility and flexibility. Learn at your own pace, from anywhere in the world, and connect with a global community of learners. With comprehensive course materials and resources provided at no cost, there's never been a better time to start your ML journey. Take the first step towards becoming an ML expert today with our free online courses.

This free course includes:

25 hours and 9 minutes of online video course

Exercises to train your knowledge

Certificate of course completion

100% free, from content to certificate

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Course comments: Machine Learning

MS

McAugustus Sapanga

..you ok í

G

grahamhconquer

I'm still working through this course bear in mind I've taught myself coding in a variety of languages also I spent weeks building circuits 8bit comp

UK

Uday Kumar S

Course is knowledgeable, but low quality video.

G

grahamhconquer

excellent course understood it easier than in the military thank you, grahamconquer81@gmail.com Any information about employment thanks ????

BD

Biswarup Das

Nice course

SM

Siddhartha Mondal

very goof

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