The virtual course "Applied AI with DeepLearning - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 24 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
>>> By enrolling in this course, you agree to the End User License Agreement as set forth in the FAQ.
Once enrolled, you can access the license in the Resources area <<< This course, Applied Artificial Intelligence with Deep Learning, is part of the IBM Advanced Data Science Certificate that IBM is currently creating and gives you easy access to information on Deep Learning models used by experts in natural language processing, computer vision, time series analysis, and many other disciplines.
We will learn about the fundamentals of Linear Algebra and Neural Networks.
We then introduce the most popular DeepLearning frameworks such as Keras, TensorFlow, PyTorch, DeepLearning4J, and Apache SystemML.
Keras and TensorFlow make up the bulk of this course.
We learn about Anomaly Detection, Time Series Forecasting, Image Recognition and Natural Language Processing by building models using Keras on real life examples of IoT (Internet of Things), Marked Financial Data, Literature or Databases of pictures.
Finally, we learn how to scale those artificial brains using Kubernetes, Apache Spark, and GPUs.
IMPORTANT: THIS COURSE BY ITSELF IS NOT ENOUGH TO OBTAIN THE "IBM Watson IoT Certified Data Scientist certificate".
You must take three other courses where two of them are currently built.
The specialization will be ready in late spring or early summer 2018.
With these approaches, regardless of your skill levels in the subjects you'd like to master, you can change your thinking and change your life.
If you're already an expert, this peek under the mental hood will give you insights to drive the successful creation and implementation of DeepLearning models.
If you're struggling, you'll see a structured treasure trove of practical techniques that will guide you through what you need to do to get on track.
If you have ever wanted to get better at something, this course will guide you.
Prerequisites: Some coding skills are necessary.
Preferably python, but any other programming language will work just fine.
Some basic understanding of math (linear algebra) will also be an asset, but we'll 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.
For more information on IBM digital credentials, follow the link ibm.
biz/badging.
If you have ever wanted to get better at something, this course will guide you.
Prerequisites: Some coding skills are necessary.
Preferably python, but any other programming language will work just fine.
Some basic understanding of math (linear algebra) will also be an asset, but we'll 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.
For more information on IBM digital credentials, follow the link ibm.
biz/badging.
If you have ever wanted to get better at something, this course will guide you.
Prerequisites: Some coding skills are necessary.
Preferably python, but any other programming language will work just fine.
Some basic understanding of math (linear algebra) will also be an asset, but we'll 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.
For more information on IBM digital credentials, follow the link ibm.
biz/badging.
If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.
For more information on IBM digital credentials, follow the link ibm.
biz/badging.
If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.
For more information on IBM digital credentials, follow the link ibm.
biz/badging.
Prepare yourself from home with the most prestigious universities in the world.
The quality of Coursera's courses is supported by its instructors, who are often deans and have doctorates.
More than 85% of Coursera students report career benefits, such as promotions or salary increases.
Millions of students around the world are meeting their personal and professional goals with Coursera.
Coursera offers courses from over 200 leading universities and companies to deliver online learning around the world. With a Coursera Plus subscription, you get unlimited access to over 90% of all courses, and the most popular professional certificates and specializations on Coursera.
Data science, business and personal development. You can enroll in multiple courses at once, earn unlimited certificates, and learn in-demand job skills to start, grow, and even change careers.
DISCOVER HOW TO GET THE MOST, AND SAVE OVER USD $500 WITH AN ANNUAL SUBSCRIPTION TO COURSERA PLUS*
*You save up to USD$500 in 12 months, when you go from paying USD$59 for a monthly subscription, to an annual subscription with the promotion. The normal annual subscription is USD $399. With the promotion you will only pay USD $299. Find out everything by clicking the yellow button.
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