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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:

• Fundamental science information and pre-information for Deep Learning
• 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 Deep Learning
• Python programming nuts and bolts
• Outline of Huawei cloud EI

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:

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