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Comentários e feedback de alunos de Applied AI with DeepLearning da instituição IBM

530 classificações
80 avaliações

Sobre o curso

>>> 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

Melhores avaliações


Apr 26, 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


Aug 08, 2019

Gave a good hands-on with IBM Watson studio notebooks. Also a good overview of LSTM's, Keras, Predictive maintenance. Good stuff, keep it going

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26 — 50 de {totalReviews} Avaliações para o Applied AI with DeepLearning

por subham m

Apr 29, 2018

Very Helpfull and Full support from the instructor

por mahmut k

Apr 16, 2018

Useful information course have. There are some challenges.

However, the instructor, Romeo is great!

A real Jedi master!

por Bhaswar B

Apr 21, 2018

very effective with hands on experience

por Ivan P

Apr 06, 2018

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

por Philipp K

Apr 30, 2018

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

por Deleted A

Jun 05, 2018

amazing course

por Reetu

Apr 25, 2018

Very intuitive course, helped me learn at my own pace, given that I was not having time at a stretch. I thoroughly enjoyed learning the concept and techniques of deep learning. Some of the exams were easy but the objective was that you continue learning, whille some were tough (where I learned the most). It was overwhelming to see real IoT data flowing through and reaching to my code :). Nice!!

It looks easy but simple things are "very" hard to produce so Thanks to the whole Team.


Jul 30, 2018

Awesome knowledge !!

por Azeezur R

Oct 19, 2018

Excellent way of teaching concepts

por Sven

Oct 05, 2018

Very good data science specialization covering many interesting advanced technologies!

por Nikolas R

Apr 14, 2019

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

por Evan S

Jun 15, 2019

I learned a lot about neural networks and the infrastructure they run on. I enjoyed the course very much.

por David J D T

Jun 19, 2019

Would love to have a deeper lecture on NLP inside Watson

por Neeraj k

Jun 28, 2019

best method for understanding

por Kylie T

Jul 07, 2019

Very well organized course

por Saumya T

Jun 02, 2019

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


Jun 06, 2019

great course

por Ashish P

Jul 16, 2019

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

por Bharath S

Aug 08, 2019

Gave a good hands-on with IBM Watson studio notebooks. Also a good overview of LSTM's, Keras, Predictive maintenance. Good stuff, keep it going

por Varadharajan R

Aug 07, 2019

Self motivated to learn and do the assignments all the discussions in the forum guided me thoroughly

por 吴怡

Aug 20, 2019

Wow, What a great course! This course really helps me understand the machine learning basis as well as the practical deployment in multiple environments and programming languages. Thanks for the lecturers and also Coursera!

por Egemen İ

Aug 28, 2019

This course and the knowledge it provided were incredibly helpful. Thank you IBM and thank you Coursera!

por Reynier H

Sep 19, 2019

Curso bem completo e bem explicado!


Sep 24, 2019


por Julien P

Sep 25, 2019

Very nice and complete.