關於此 專項課程

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Machine learning reinvents industries and runs the world. Harvard Business Review calls it “the most important general-purpose technology of our era.” But while there are many how-to courses for hands-on techies, there are practically none that also serve business leaders – a striking omission, since success with machine learning relies on a very particular business leadership practice just as much as it relies on adept number crunching. This specialization fills that gap. It empowers you to generate value with ML by ramping you up on both the tech and business sides – both the cutting edge algorithms and the project management skills needed for successful deployment. NO HANDS-ON AND NO HEAVY MATH. Rather than a hands-on training, this specialization serves both business leaders and burgeoning data scientists with expansive, holistic coverage. BUT TECHNICAL LEARNERS SHOULD TAKE ANOTHER LOOK. Before jumping straight into the hands-on, as quants are inclined to do, consider one thing: This curriculum provides complementary know-how that all great techies also need to master. It guides you on the end-to-end process required to successfully deploy ML so that it delivers a business impact. WHAT YOU'LL LEARN. How ML works, how to report on its ROI and predictive performance, best practices to lead an ML project, technical tips and tricks, how to avoid the major pitfalls, whether true AI is coming or is just a myth, and the risks to social justice that stem from ML.
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
初級
完成時間大約為3 個月
建議 4 小時/週
英語(English)
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
初級
完成時間大約為3 個月
建議 4 小時/週
英語(English)

此專項課程包含 3 門課程

課程1

課程 1

The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

4.9
68 個評分
28 條評論
課程2

課程 2

Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership

4.9
31 個評分
10 條評論
課程3

課程 3

Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

4.8
29 個評分
15 條評論

提供方

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SAS

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