1
數(shù)據分析基礎
Fundamentals of Data Analytics
2
軟件開發(fā)基礎
Fundamentals of Software Development
3
技術研究準備
Technology Research Preparation
4
核心選項(人工智能)
Core options (Artificial Intelligence)
5
云計算和軟件即服務
Cloud Computing and Software as a Service
6
社會和信息網絡分析
Social and Information Network Analysis
7
人工智能的新興話題
Emerging Topics in Artificial Intelligence
8
計算智能導論
Introduction to Computational Intelligence
9
量子計算簡介
Introduction to Quantum Computing
10
神經網絡和模糊邏輯
Neural Networks and Fuzzy Logic
11
人工智能概論
Introduction to Artificial Intelligence
12
數(shù)據可視化和可視化分析
Data Visualisation and Visual Analytics
13
數(shù)據和人工智能的倫理
The Ethics of Data and AI
14
在 Amazon Web Services 上進行架構
Architecting on Amazon Web Services
15
SAS 預測業(yè)務分析
SAS Predictive Business Analytics
16
數(shù)據驅動的講故事工作室
Data Driven Storytelling Studio
17
用于決策支持的商業(yè)智能
Business Intelligence for Decision Support
18
深度學習和卷積神經網絡
Deep Learning and Convolutional Neural Network
19
人工智能工作室
Artificial Intelligence Studio
20
技術與創(chuàng)新管理
Technology and Innovation Management
21
云計算和軟件即服務
Cloud Computing and Software as a Service
22
人工智能的新興話題
Emerging Topics in Artificial Intelligence
23
高級數(shù)據分析算法
Advanced Data Analytics Algorithms
24
圖像處理與模式識別
Image Processing and Pattern Recognition