Udemy

Udemy Online Courses

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  • Course platform: Udemy
  • Level: All Levels
  • Full lifetime access
  • 5 downloadable resources
  • Subtitles in 7 languages
  • Price: Paid course
  • 30-Day Money-Back Guarantee
  • Class length: Approx. 23 hrs.
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The score is based on the user experience, rated by the learners.
Learner rating
9
PROS:
  • A good overview of some of the different neural networks.
  • Content and course structure is well planned and comprehensive .
  • You will learn variety of Deep Learning algorithms in on place.
CONS:
  • Random introduction of some advanced techniques which are very hard to follow.
  • Need to increase the gist of the concepts.
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  • Course platform: Udemy
  • Level: All Levels
  • Full lifetime access
  • Price: Paid course (With Certificate)
  • Class Length: Approx. 29 hrs.
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The score is based on the user experience, rated by the learners
Learner rating
9
PROS:
  • Jam-packed with a good balance of technical and practical information.
  • Extremely eye-catching design and presentation. The way content is delivered on the screen is very attractive.
  • The exercises are very informative, exhaustive and detailed.
  • One can commence without any prior programming experience.
  • Realistic approach, balanced theories and practice.
CONS:
  • Need to expand details on other classifiers such as knn, SVMs and decision trees.
  • Need to add basic mathematics calculus.
  • Lengthy content on topics such as probability and stats.
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  • Course platform: Udemy
  • Level: Beginner
  • Full lifetime access
  • Price: Paid Course
  • Class length: Approx 14 hrs.

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The score is based on the user experience, rated by the learners.
Learner rating
9
PROS:
  • Commencement from basic maths.
  • Detail implementation to a neural network.
  • Very informative lessons on areas like Deep Learning & Neural networks.
CONS:
  • This course needs to have in-depth exercises.
  • Some DL topics needed better and more in depth explanation of the concepts.
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  • Course platform: Udemy
  • Level: Intermediate
  • Full lifetime access
  • Price: Paid course
  • Class length: Approx. 14 hrs
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The score is based on the user experience, rated by the learners
Learner rating
9
PROS:
  • Good instructors narration flow and technical expertise
  • Easily understandable content with high efficiency.
CONS:
  • It should focus on key parts of the tensor flow code.
  • Need to spend more time on basic mathematical background knowledge.
  • Matrix multiplication and some other pillars in linear algebra needs more information.
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  • Course platform: Udemy
  • Level: Intermediate
  • Full lifetime access
  • Price: Paid course
  • Class length: Approx. 13hrs
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The score is based on the user experience, rated by the learners
Learner rating
9.2
PROS:
  • Excellent veteran instructor’s explanation and teaching process.
  • All math is thoroughly explained and ambiguities clarified.
  • It will absolutely clear your theory and math concept.
CONS:
  • Should give focus on more use of animations and visual learning.
  • Need improvement in balance between theory of RL and practical’s.
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  • Course platform: Udemy
  • Level: Advanced/Expert
  • Full lifetime access
  • Price: Paid Course (with certificate)
  • Class length: Approx.12 hrs.
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The score is based on the user experience, rated by the learners.
Learner rating
9
PROS:
  • Awesome tutorial on word embedding (word2vec and glove) techniques.
  • You will find it more advanced than any other course platforms.
  • Focus on demonstration of core parts of algorithm’s.
CONS:
  • Lengthy preliminary content.
  • It should have detail practical information.
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  • Course platform: Udemy
  • Level: Advanced/Expert
  • Full lifetime access
  • Price: Paid Course (with certificate)
  • Class length: Approx. 11 hrs.
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The score is based on the learner ratings/experience, at Udemy.
Learner rating
9.2
PROS:
  • Covers a wide-range of advanced reinforcement learning topics.
  • Excellent and advanced topics.
  • Good details and manual coding.
  • Concise details about each algorithms.
CONS:
  • Should have more explanation on the theory.
  • Need to improve coding lectures.
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  • Course platform: Udemy
  • Level: All Levels
  • Full lifetime access
  • Price: Paid Course
  • Class Length: Approx. 11hrs.
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The score is based on the user experience as rated by the learners
Learner rating
9.2
PROS:
  • Commencement from basic maths.
  • The course is very interactive and expects you to code as you go.
  • Course contains brief and easily understandable content.
  • Excellent course for beginners to understand everything in R Programming.
CONS:
  • This course needs to have in-depth exercises.
  • Course should include datasets and exercises practical enough to the real world.
  • Needs explaination on mathematics behind each algorithm.
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  • Course Platform: Udemy
  • Level: Intermediate (recommended)
  • Full lifetime access
  • 5 downloadable resources
  • Approx. 25 hrs
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The score is based on the user experience as rated by the learners
Learner rating
9.2
PROS:
  • Great course which covers most of the important concepts of python in Machine learning.
  • It is easy to understand for people that know python & machine learning algorithms.
  • Helpful exercises which helps to get a real world understanding of applying the concepts.
CONS:
  • Some ML topics needed better and more in depth explanation of the concepts.
  • Support vector machines, DL & Big Data topics should have more information.
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  • Course Platform: Udemy
  • Level: All levels
  • Full lifetime access
  • 38 downloadable resources
  • Approx. 44 hrs
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The score is based on the user experience as rated by the learners
Learner rating
9
PROS:
  • Amazing course for beginners to understand everything in machine learning.
  • Excellent explanation on the process of writing and building of models.
CONS:
  • Course should include datasets and exercises.
  • Needs explaination on mathematics behind each algorithms.