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Learner Reviews & Feedback for Applied AI with DeepLearning by IBM

4.4
stars
1,109 ratings

About the Course

>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<< This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. We’ll learn about the fundamentals of Linear Algebra and Neural Networks. Then we introduce the most popular DeepLearning Frameworks like Keras, TensorFlow, PyTorch, DeepLearning4J and Apache SystemML. Keras and TensorFlow are making up the greatest portion of this course. We learn about Anomaly Detection, Time Series Forecasting, Image Recognition and Natural Language Processing by building up models using Keras on real-life examples from IoT (Internet of Things), Financial Marked Data, Literature or Image Databases. Finally, we learn how to scale those artificial brains using Kubernetes, Apache Spark and GPUs. IMPORTANT: THIS COURSE ALONE IS NOT SUFFICIENT TO OBTAIN THE "IBM Watson IoT Certified Data Scientist certificate". You need to take three other courses where two of them are currently built. The Specialization will be ready late spring, early summer 2018 Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give your ideas for turbocharging successful creation and deployment of DeepLearning models. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide. Prerequisites: Some coding skills are necessary. Preferably python, but any other programming language will do fine. Also some basic understanding of math (linear algebra) is a plus, but we will cover that part in the first week as well. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging....

Top reviews

SS

Oct 23, 2020

I learned many things from this course. However, I think in some points it could have been instructed much better. But all in all, it is a very worthy course for the price offered. Thanks a lot!

RC

Apr 25, 2018

It was really great learning with coursera and I loved the course. The way faculty teaches here is just awesome as they are very much clear and helped a lot while learning this coursea

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51 - 75 of 197 Reviews for Applied AI with DeepLearning

By Edi W

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Mar 9, 2020

Please update the course and replace the deeplearning4j with newest skill soon. It is deprecated.

By Juan S P V

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May 4, 2021

Very interesting course, I learned very much and remembered different stuff about statistics.

By Ricardo P S S

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Jun 8, 2020

Very good coverage of the fundamentals and main models/approaches used in DeepLearning realm.

By Ashish P

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Jul 16, 2019

This is really Amazing Course. I learn those micro things which is people rarely understand.

By Ray H A L

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Jan 14, 2019

No easy...But was supprise to have got enrolle for the course: Applied AI with DeepLearning

By Ivan P

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Apr 6, 2018

This course presents a good overview of various practical approaches used in nowadays AI.

By YASSINE F

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Jul 16, 2022

Great work

About the assignments it will be better if you use jupyter workspace instead

By Sven

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Oct 5, 2018

Very good data science specialization covering many interesting advanced technologies!

By Kevin R L

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Apr 9, 2020

course content is great. the teachers make understanding the topics easier for us

By Chris S

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Feb 28, 2020

Very informatic class, it is valuable to remember the details again and again

By Nikolas R

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Apr 14, 2019

The course covers a broad range of tools to deploy deep learning algorithms.

By prithvish k c

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May 9, 2020

completely related and course material and projects are great. Great course

By Dasun K

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Apr 18, 2020

Labs and codes demonstrated are very useful. Covers vast knowladge area.

By Nikhila M B

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May 12, 2020

Was very helpful in understanding deep learning with neural networks

By Riku S

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Feb 7, 2019

A nice intro to TensorFlow, Keras, SystemML, DL4J and Apache Spark!

By Ramachandra R K

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Feb 26, 2019

Great course with several hands-on assignments. Highly recommend.

By Aditya V

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Apr 17, 2020

Awesome course and amazing content to start with deep learning.

By Saumya T

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Jun 1, 2019

Very good course for learning Neural Network. Well explained!!!

By Jose H C

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Jul 19, 2020

It is definitely an advance class with excellent examples

By Farrukh N A

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Jun 11, 2020

Good Course, Best Part is Parallelism of Model Execution

By David T

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Jun 19, 2019

Would love to have a deeper lecture on NLP inside Watson

By Philipp K

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Apr 30, 2018

I have learned so much of of this course. Keep it up!!

By Muhammad M A S

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May 25, 2020

Amazing course really polish my deep learning skills

By ALWIN R M 1

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Apr 29, 2020

Really insightful and advanced deep learning course

By Subham M

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Apr 29, 2018

Very Helpfull and Full support from the instructor