SKILLS YOU WILL GAIN
- Knowledge Science
- Web Of Issues (IOT)
- Deep Studying
- Apache Spark
- Statistics
- Machine Studying
- Lengthy Quick-Time period Reminiscence (ISTM)
About this Specialization
As a coursera licensed specialization completer you should have a confirmed deep understanding on huge parallel information processing, information exploration and visualization, and superior machine studying & deep studying. You’ll perceive the mathematical foundations behind all machine studying & deep studying algorithms. You possibly can apply information in sensible use circumstances, justify architectural selections, perceive the traits of various algorithms, frameworks & applied sciences & how they impression mannequin efficiency & scalability.
In the event you select to take this specialization and earn the Coursera specialization certificates, additionally, you will earn an IBM digital badge. To search out out extra about IBM digital badges observe the hyperlink ibm.biz/badging.
Utilized Studying Challenge
Learners will construct absolutely scalable finish to finish information integration, machine studying and deep studying pipelines utilizing essentially the most distinguished and broadly used frameworks and applied sciences like Apache Spark, scikit-learn, SparkML, SystemML, TensorFlow, Keras, PyTorch, DeepLearning4J, Apache CouchDB and MQTT.
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