Machine learning is a process which allows a machine (computer) to show the behavior not programmed preliminary. Using algorithms, multiply extracted from data, machine learning helps the computer find the needed request without explicit programming. Today machine learning is a first-class ticket to the most successful career growth in the field of data analysis. It involves information technology and statistics, and uses this data to enhance the results. This technology is a must-have skill for every analyst striving for the improvement and acceleration of the data collection and result analysis. Newsfeed of Facebook social network uses machine learning to analyze the channel of every element. For instance, while scrolling the newsfeed you stop to read or like the post of one of your friends, the system remembers it and subsequently shows you more news from this friend. Actually the software simply uses statistical and predictive analyses in order to identify algorithms in the user’s data and to apply them in newsfeed. If later on you don’t read the posts of this friend, new data will be input in the data set and newsfeed will be corrected accordingly. This called iterative aspect of the machine learning – ability to independently adapt to the new data. Exactly machine learning specialists are presented in TOP experts’ category down below: Middle and Senior level with strong programming skills in popular languages (mostly Java and Python). These talents are specialized in Digital Signal Processing, Recommender Systems, Computer Vision, as well as Sentiment Analysis, Computer Linguistics and Natural Language Processing for more niche project requests.

The artificial intelligence technologies are increasingly penetrating our everyday life. They are being used in various fields from gaming, journalism, mass media, finances on out to robotronics, medicine diagnostics and quantum sciences. Artificial intelligence research implies not only robots’ invention, but also intention to explore and figure out the mechanism of the human brain for thinking and functioning. This will definitely lead to the invention of some very intelligent machines that will think and operate like people. That’s why when we say “artificial intelligence” we mean something capable to take decisions based on the certain information. Artificial intelligence is not to be sensed physically and computer chess program is a quite fair example of it. AI development demonstrates computer evolution. Since it has been invented, we got a chance to improve the quality of life. Now, thanks to AI, we can manage energy producing plants or make any machine easy-to-use for the humans. Despite of all beneficial abilities, AI is unlikely to be able to replace the human brain one day. When working with the AI we need require analytical skills and ability to cost-effectively solve problems. It’s necessary to keep abreast and follow up technological innovations applied in the most modern computer programs in order to increase the competitiveness of the company. Besides AI specialists are required to have technical skills to design, maintain and restore the technologies and programs. And last but not least - communication skills and capability for team work. The candidates listed below meet all these requirements as they have been assessed against sustainability criteria and ready to join your project on your request. Since the invention of AI in 1950s and till now it continues to promote and improve the quality of many spheres of life. As a result, the work of the specialists, who turn cyber bits into human perception and move computer on to the intellectual level, will always be sought after and decently rewarded.

Health information technology (HIT) is applied to healthcare and all health issues. HIT is used to store, share and analyze information connected with human health. Health IT is very useful for communicating with your doctor, learn information about your state of health and even share this information! Health IT is aimed at improving patient safety and healthcare quality, preventing medical errors, decreasing paperwork and reducing healthcare costs. USA health professionals have big hopes for this technology as a perfect way to manage and share health-related information. There exist some types of HIT: The electronic health record (EHRs) that keep records of your health information. Personal health records (PHRs) reflect your life outside the doctor's office including tracking your food intake, exercise, and blood pressure. E-prescribing that allows you to pick up medicine without paper prescription. Among the other types there are mobile apps and online communities that can provide you with information and support.

Fintech is a term of financial technology used to denote financial services sector in the 21st century. It comprises all up-to-date financial technologies from basics of financial education to investment and banking. Technology of FinTech is rather popular being used by broad strata of society: b2b for banks providing premium quality services to their clients; business clients who take advantages of these services; b2c for small businesses; their consumers. FinTech is moving towards mobile banking, mobile trading, digital wallets and mobile wallet systems, financial advisory, mobile apps with analytics, fraud detection and other useful options