Good to know: you can easily save this vacancy using the print button at the top of the page. After the closing date, this vacancy will be removed from our website. You are situated at the heart of ...

What to expect from a marketing analyst in 2026, how the market has changed, and what does AI have to do with it?

The headlines have been hard to ignore. Microsoft says roughly 20–30% of code in its repos is now written by AI. Claude ...

Testing is where Thailand's AI adoption often pays off quickly, because it reduces waiting. AI can draft unit tests from code, suggest regression ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

点击上方“Deephub Imba”,关注公众号,好文章不错过 !传统统计方法在时间序列分析中既简洁又有力，但面对大规模时间序列集合时，扩展性往往不尽如人意。现实中的趋势变化往往微弱、带有噪声、数量也不止一个，靠肉眼判断既不可靠也不现实。一旦需要处理数十乃至数百条时间序列，人工识别就更不可行了。Figure 1: Identify ...

Abstract: In this paper, a predictive regression model for high frequency structure of helix traveling wave tubes is proposed and integrated in MTSS. In the predictive regression model, a double ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels courses in 2026 fo ...

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.