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IBM C1000-012日本語 Exam Syllabus Topics:

Topic	Details
Topic 1	Explain Machine Learning Technologies (Supervised, Unsupervised, Reinforcement Learning Approaches) Explain Neural Nets
Topic 2	Explain The Importance Of Separating Training, Validation And Test Data Define The Main Characteristics Of An AI System
Topic 3	Explain The Watson REST Apis Available As Part Of The Watson AI Services On IBM Cloud Fundamentals Of IBM Watson AI Services
Topic 4	Explain The Process To Provision And Use An Instance Of An IBM Watson AI Service Instance On IBM Cloud Explain How The Personality Insights Service Works
Topic 5	Fundamentals Of Artificial Intelligence (AI) Computing Define A Common Set Of Use Cases For AI Systems
Topic 6	Explain Use Cases For Integrating External Systems (Such As Twitter, Weather API) Explain The Uses Of The Watson AI Services In The Starter Kits
Topic 7	Explain And Configure The Natural Language Classification Service Explain And Configure The Visual Recognition Service
Topic 8	Explain And Execute IBM Watson Natural Language Understanding Service Explain, Setup, Configure And Query The IBM Watson Discovery Service
Topic 9	Select An Appropriate Combination Of AI Technologies Based On Use-Case And Data Format Use Cases For Artificial Intelligence
Topic 10	Developing AI Applications Using IBM Watson AI Services On IBM Cloud Explain How The Tone Analyzer Service Works
Topic 11	Define Common Design Patterns For Composing Multiple Watson Services Together (Across Apis) Explain And Configure The IBM Watson Assistant Service
Topic 12	Measure Accuracy Of A Watson AI Service Define Precision, Recall, And Accuracy Define Intents And Classes
Topic 13	Describe The Tasks Required To Implement The Conversational Agent Digital Bot Design And Execute A Use Case Driven Service Choreography (Within An API)
Topic 14	Provide Examples Of Text Classification Using The NLC Describe The IBM Watson Discovery Service Describe The Watson Conversational Agent