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Introduction The field of data science and artificial intelligence (AI) had tremendous success before the COVID-19 pandemic turned the world upside down. As discussions
Introduction Access to and control of data is one of the biggest challenges faced by data analysts and data scientists. Creative, persistent analysts find ways
5 ways in which machine learning can be used to generate more profitable returns including: portfolio optimization, volatility clustering, price prediction, trading bots and analyzing news sentiment. About Machine Learning in Finance Machine learning is busy taking over multiple industries today. Wherever you look you hear about “intelligent” speakers, cameras, traffic directions, self-driving cars, personal
Language models in NLP(Natural Language Processing) Systems are Machine Learning based models which are trained to learn and understand Natural Languages like how humans do. A simple example of a trained language model will predict the occurrence of the next word in a sentence. Some of the common Language model use cases are Language Translation
With a pandemic fueled 2020, digital transformation accelerated rapidly, and with increased connectivity, thanks to 5G and faster WiFi and improvements in AI and machine learning, IoT looks set to deepen its roots in our lives and industries.
Artificial Intelligence in primary health care is a hot and trending topic these days, and the healthcare sector is being benefited from it in 2020, and beyond. Here is a a brief overview of what AI is in healthcare.
The Healthcare sector is in a critical requirement of innovative technologies for decision-making to handle COVID-19 epidemic. Machine Learning, IoT, and AI help in getting appropriate recommendations in real-time to keep away from the spread.
AI and automation are definitely bringing some major changes, both positive and negative, to the workplace and to our private lives. It’s naïve to hope that they will only bring good things but getting ready for any possible bad effects they may have is possible and necessary.
Ready to learn Big Data? Browse Big Data Training and Certification Courses developed by industry thought leaders and Experfy in Harvard Innovation Lab. Digital Transformation can mean a lot of different things to different people. But for everyone it means dealing with more data than ever before. Industry 4.0, cloud, robotics, “big data,” artificial intelligence,
Fintech and blockchain technology merge quite well. The number of blockchain fintech startups is soaring, while distributed ledger technologies slowly taking ground in the financial services industry. It will be interesting to see if this technology and smart contracts can live up to their expectations and transform financial ecosystem for the better. Let’s see how smart contracts and blockchain can transform the global FinServ, explore the major blockchain platforms, and check out several fintech startups that use this technology.