从去年的AlphaGo到今年人工智能(Artificial Intelligence),英文缩写为AI,首次写进政府工作报告,人工智能正在席卷全球,引发第4次工业革命,而AI的核心技术是机器学习和深度学习。
目前,机器学习已广泛应用于数据挖掘、自动驾驶、计算机视觉、自然语言处理、搜索引擎、语音和人脸识别、医学诊断、量化金融、以及电商的搜索和推荐当中,人工智能正在迎来巨大爆发点。
AI在量化投资的应用也是不断显现活力。
We Know First predicts a growing universe of over 3,000 securities for the short, medium and long term horizons daily by applying Artificial Intelligence and Machine Learning techniques to search for patterns and relationships in large sets of historical stock market data.
We Know First is among 5 start-ups, who showcased their solutions in Payments, Finance Management, Security and other specialties according to Israel Economic Mission in the USA.
Through its self-learning ability and flexible multi-layered neural networks structure, the algorithm is able to learn from, adapt to and evolve together with continuously changing markets. It offers an independent, objective and unique perspective on the financial markets and doesn’t rely on any human derived assumptions or traditional theories and models that often do not hold (anymore).
Moreover, we Know First develops and back-tests systematic trading strategies which are used in partnerships with hedge funds and other asset managing entities. These strategies are rules-based and utilize algorithmic forecasting indicators mentioned above in order to rank and select the trades as well as the time the execution. The type of strategies varies, including mean-reversion logic and more trend focused approaches, all generating high positive alpha while keeping beta in the 0.3-0.8 range, yielding overall high risk-adjusted returns. The strategies can be used in partnership with I Know First to launch hedge funds, mutual funds or other investment vehicles.
鉴于此,推荐一位非常牛逼的机器学习科学家:陈梦翔,花名:浩颠。清华大学计算机博士,数据科学家,主要研究方向为:机器学习、模式识别、深度学习。曾任职于Google、Facebook、百度等人工智能实验室。
2013年-2015年在意大利举办的国际在线指纹识别竞赛中获得冠军,先后于IEEE TPAMI、IJCB2014等国际顶级期刊发表多篇论文,拥有5个中国专利和1个美国专利,是推荐系统、NLP、点击率预估、图像识别领域实战派专家。
他现在在做机器学习培训,对机器学习感兴趣的可以加他助理了解,扫一扫下面的二维码添加,注明来自:公众号。可以免费体验5次机器学习VIP课程,价值1980元,以及获得VIP课的视频,先到先得!还可以上每周一次的大型线上公开课,部分公开课主题如下:
【第1期】SVM车牌识别系统
【第2期】GANs对抗生成网络诗歌生成器
【第3期】用CNN构建简易版AlphaGo围棋AI
【第4期】朴素贝叶斯决策的OCR字符识别
【第5期】基于zero-shot学习的多语言翻译系统
【第6期】构建深度学习无人车驾驶系统
。。。。。持续更新。。。。。
长按即可添加