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Applied AI with DeepLearning, IBM

4.4
171 个评分
36 个审阅

课程信息

>>> 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 one 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....

热门审阅

创建者 RC

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

创建者 MK

Apr 16, 2018

Useful information course have. There are some challenges.\n\nHowever, the instructor, Romeo is great!\n\nA real Jedi master!

筛选依据:

36 个审阅

创建者 Azeezur Rahman

Oct 19, 2018

Excellent way of teaching concepts

创建者 RUBEN ADAD

Oct 18, 2018

Uninformative, undidactic, very poorly explained. One of the worst courses I've taken.

创建者 Sven

Oct 05, 2018

Very good data science specialization covering many interesting advanced technologies!

创建者 guoqiong song

Sep 19, 2018

The video quality is very low, it is impossible to see the screen

创建者 Andrey Orlov

Sep 07, 2018

Part with DeepLearning4J is not very good...

创建者 Tobias Herrmann

Aug 26, 2018

n/a

创建者 Edoardo Bianco

Aug 22, 2018

I like very much the architecture-based approach of these courses/ specialization.

At the end, the goal of an Enterprise, in a general sense, is to satisfy the local or global community necessity in an effective and efficient way. Surreally with the choose of the correct technology, frameworks, languages, instructions, details.... but , at the end, what is really important is the value offered.

That said, I think, that this specialization, provides the mindset, the knowledge, the skills and tools applicable in a corporate environment. Technology is important, yes, but, from my point of view, it is most important to consider the value that is emerging from the holistic approach of all the topics in the different modules of the courses, including also the final capstone project.

Thank you very much Romeo and all instructors for this continuous learning professional opportunity

创建者 sada narayanappa

Aug 20, 2018

No clarity in lectures. IBM platform set up is too complicated and confusing.

创建者 PURNANAND WASAVE

Jul 30, 2018

Awesome knowledge !!

创建者 Dmitry Grinko

Jul 19, 2018

Concise intro to much needed big data machine learning solutions