Artificial Intelligence Machine Learning Process Companies Prepared on

Artificial Intelligence - Machine Learning Process & Companies Prepared on: 1 st May, 2018 By: Celeste Ng Direct quote from source: as shown

Steps in Machine Learning Process Steps taken by a data scientist in building a machine learning applications數據 科學家在構建機 器學習應用時採 取的步驟 1. Identify data set確定數據集 2. Select ML algorithm選擇ML算法 3. Develop analytical model開發分析模型 4. Train model訓練模型 5. Generate scores計算分數 Source: https: //www. techemergence. com/artificial-intelligence-industry-an-overview-by-segment/

Machine learning algorithms (1) (URL: https: //www. analyticsvidhya. com/blog/2017/09/common-machine-learning-algorithms/ ) Broadly, there are 3 types of Machine Learning Algorithms. . 1. Supervised Learning監督學習 • How it works: This algorithm consist of a target / outcome variable (or dependent variable)目標/結果變量（或因變量） which is to be predicted from a given set of predictors (independent variables)一組給定 的預測變量（獨立變量). Using these set of variables, we generate a function that map inputs to desired outputs生成一個函數將輸入對應的 到輸出. The training process continues until the model achieves a desired level of accuracy on the training data. • Examples of Supervised Learning (analytical model): Regression回歸, Decision Tree, Random Forest隨機森林, KNN, Logistic Regression邏輯回 歸etc.

Machine learning algorithms (1) (URL: https: //www. analyticsvidhya. com/blog/2017/09/common-machine-learning-algorithms/ )

Machine learning algorithms (2) (URL: https: //www. analyticsvidhya. com/blog/2017/09/common-machine-learning-algorithms/ ) 2. Unsupervised Learning無監督學習 • How it works: In this algorithm, we do not have any target or outcome variable to predict / estimate沒有任何目標或結果變量來預測/估計. • It is used for clustering population用於群集人口in different groups, which is widely used for segmenting customers細分客戶in different groups for specific intervention. • Examples of Unsupervised Learning (analytical model): Apriori algorithm, Kmeans. 3. Reinforcement Learning強化學習: • How it works: Using this algorithm, the machine is trained to make specific decisions. • It works this way: the machine is exposed to an environment where it trains itself continually using trial and error通過試驗和錯誤不斷訓練自己. • This machine learns from past experience and tries to capture the best possible knowledge to make accurate business decisions捕捉最佳可能的知 識以做出準確的業務決策. • Example of Reinforcement Learning (analytical model): Markov Decision Process馬爾科夫決策過程

Machine learning algorithms (2) (URL: https: //www. analyticsvidhya. com/blog/2017/09/common-machine-learning-algorithms/ )

Machine Intelligence Companies Source: https: //www. techemergence. com/artificial-intelligence-industry-an-overview-by-segment/

Machine Intelligence Companies Source: https: //www. techemergence. com/artificial-intelligence-industry-an-overview-by-segment/

Artificial Intelligence Companies • The following AI Sector Map breaks down into 13 broad categories Source: https: //www. techemergence. com/artificial-intelligence-industry-an-overview-by-segment/

Artificial Intelligence Market Categories人 智慧市場類別 • Markets and Markets breaks out AI verticals into the following main categories in their 2020 AI Forecast: – – – – – Media & advertising Finance Retail Healthcare Automotive & transportation Agriculture Law Oil & gas Others Source: https: //www. techemergence. com/artificial-intelligence-industry-an-overview-by-segment/

Artificial Intelligence Applications – an example in Taiwan Acer (宏碁) and Taiwan's Center for Disease Control ( 台灣疾病控制中心) • this forecast platform will serve as an additional source of information … to support their decision making in the – allocation of medical resources in the likelihood of flu epidemics, as well as for the – general public to take extra measures to avoid or protect oneself from areas of flu outbreak. • The flu forecast platform applies – machine learning [AI] on data from the CDC’s flu-like surveillance system and the national health insurance, – together with government information [big data] on weather and regional populations, to establish a prediction model. Source: https: //en. ctimes. com. tw/Disp. News. asp? O=HK 24 BBMICJSSAA 00 NA

Additional note – Company: Appier - https: //www. appier. com/en/about. html

Additional note – Setting up chatbot https: //recast. ai/blog/five-steps-bot-building/