Who should take the Huawei Certified ICT Associate-Artificial Intelligence

Engineers who need to master AI technologies, learn and use deep learning algorithms, and master Huawei AI-related product technologies.

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Understanding functional and technical aspects of Essential mathematics knowledge and pre-knowledge for Deep Learning

The following will be discussed in HUAWEI H13-311 exam dumps:

• Imperative Optimization
• Likelihood Distribution
• Likelihood Theory and Information Theory
• Numeric Calculation
• Determinants
• Uncommon Matrices
• Inclination Based Optimization Method
• Minor Probability
• Follow Operator
• Basic Probability Distribution
• Bayesian Rules
• Linear Algebra
• Sick Condition
• Ceaseless Variable
• Eigendecomposition
• Restrictive Probability
• Flood and Underflow
• Organized Statistical Model
• Model: Linear Least Squares
• Data Theory
• Irregular Variables
• Model: Principal Component Analysis
• Moore-Penrose Pseudoinverse
• Assumption, Variance, and Covariance
• Particular Value Decomposition
• Freedom and Conditional Independence

Topics of Huawei Certified ICT Associate-Artificial Intelligence

The following will be discussed in HUAWEI H13-311 practice exam and HUAWEI H13-311 practice exams:

• Outline of TensorFlow, programming nuts and bolts, and techniques for utilizing TensorFlow programming for picture acknowledgment, discourse acknowledgment, and human-machine exchange
• Outline of computerized reasoning
• Outline of Huawei cloud EI
• Outline of Deep Learning
• Python programming nuts and bolts
• Fundamental science information and pre-information for Deep Learning

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Huawei H13-311-ENU Exam Syllabus Topics: