SCIO Health Analytics® | LinkedIn 팔로워 10,471명 | SCIO Health Analytics is now a part of EXL Health. EXL Health combines deep domain expertise with analytic insights and technology-enabled services t...
/PRNewswire/ -- SCIO Health Analytics today announced that chief executive officer and co-founder Siva Namasivayam will be presenting the company's business...
/PRNewswire/ -- SCIO Health Analytics®, a leading health analytics services company, was named a Major Player in the IDC MarketScape: U.S. Healthcare Payer...
2 testing 3 Speedy deletion nomination of SCIO Health Analytics 4 February 2014 Welcome![edit] Hello and welcome to Wikipedia. Thank you for your contributions. I hope you like the place...
Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless...
약 7천 명의 팔로워를 보유한 Nadja Popovich의 트위터. 약 1.1천 개의 트윗이 있습니다. reporting + editing, data + graphics @nytclimate ✨✨✨✨✨
EXL is founded ; First delivery center in India is opened ; Employee headcount passes 1,500 ; First U.K. office opens ; Inductis acquisition helps EXL become a leader in data and analytics ; EXL joins NASDAQ ; Global footprint expands into Philippines ; Employee headcount passes 10,000 ; EXL moves its headquarters to New York City ; EXL acquires OPI and Trumbull
Report Outlook ; The global life science analytics market was valued at USD 7.79 billion in 2020 and is expected to grow at a CAGR of 7.9% during the forecast period. The surging acceptance of analytic solutions in clinical trials, rising prevalence of chronic diseases, advancement in technology, the demand for improved data standardization, increasing adoption of analytical solutions in various applications, reducing healthcare expenditure, and growing demand for the improved patient outcome are some of the critical factors that drive the grow ...
배울 내용 ; Machine Learning and its applications ; Building End to End Machine Learning Projects ; Deployment of Machine & Deep learning algorithms
배울 내용 ; Learn how to use NumPy, to do fast mathematical calculations in machine learning. ; Learn what is Machine Learning and Data Wrangling in machine learning. ; Learn how to use scikit-learn for data-preprocessing in machine learning. ; Learn different model selection and feature selections techniques in machine learning.