中國半年內加大對台網路攻擊！Google警告：政府民間都是目標，駭客手法難追蹤

摘要： Google團隊指出，過去半年裡中國對台灣的網路攻擊大幅增加，光是中國境外就追蹤到上百個與中國政府有關連的駭客團體。

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Between R and Python, Which Language Would I Suggest to an Aspiring Data Analytics Expert?

摘要： In recent years I’ve seen the evolution of the use of both of these languages in the world of Data Analytics. Here are my thoughts.

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Helping older adults stay safe and independent

摘要： MIT alumni-founded WalkWise uses a motion-detecting device for walkers to allow family members and care professionals to monitor adults with mobility challenges.

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Carbon language aims to be a better C++

摘要： Experimental successor to C++ strives for C++ performance and compatibility while avoiding its technical debt and ‘extreme difficulty’ to improve.

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大数据时代：十大最热门的大数据技术

摘要： 随着大数据分析市场快速渗透到各行各业，哪些大数据技术是刚需?哪些技术有极大的潜在价值?根据弗雷斯特研究公司发布的指数，这里给出最热的十个大数据技术。

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Python實作新聞情緒分析(Sentiment Analysis)

摘要： 情緒分析就是針對文本背後所詮釋的情緒進行分析。近來年機器學習和資料探勘正廣為學界和業界使用，而情緒分析則類似於資料探勘中的文字探勘，計算文本中各個字詞所代表的情緒分數，解讀進而轉化成資訊。

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My Secret Recipe for SQL Query

摘要： Following is the recipe. and the secret sauce is understanding the SQL internal sequence, which is so important not many people talk about this.

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Do you use Kotlin’s most powerful tool?

摘要： There are many Java-haters and many Java-lovers, but I have hardly seen anyone who doesn’t like Kotlin.

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Best Python Libraries for Algorithmic Trading

摘要： In this article, we help you to define which Python libraries work best if you are actively engaged with algorithmic trading with Python.

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Data Science Tutorial: Time Series Analysis with Oil Price Data in Python

摘要： This article will explain the basics of how to analyze time series data using crude oil price data.

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Lucidworks launches search analytics SaaS platform to understand user intentions

摘要： Businesses today have lots of data, modern data warehousing, AI (Artificial Intelligence) tools, and nice visualization platforms. Still, users across small and large enterprises globally are frustrated by their inability to quickly get answers to their questions from their data.

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No-Code, Low-Code Machine Learning Platforms Still Require People

摘要： Even in a simple development environment, machines and algorithms are still powered by human intelligence.

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