Programming for Machine Learning and Artificial Intelligence is important in today’s technological society. This ability in these fields is highly demanded by those who have a technology company. Because they are specialties that help transform businesses and make jobs easier.
Keep on reading to learn more about these innovative technologies; whose capabilities you can achieve if you use a correct form of digital recruitment, for example with the help of Staff Augmentation.
Programming for Machine Learning and Artificial Intelligence: Differences
Programming for Machine Learning is part of a subset of Artificial Intelligence (AI). It can be described as the activity that stimulates the neural network that addresses knowledge. That is, it is the practical application to process the received information.
Whereas, AI is related to the software that tries to mimic human intelligence. Besides, it addresses various technological and study areas. For instance:
- PC vision.
- Robotics
- Language processing.
- Machine learning.
- Autonomous systems in general.
Generally speaking, AI solves conflicts and identifies patterns. But, it requires internal processes such as Machine Learning to achieve it.
When programming for these components, special skills are required; with these it is hoped to address each problem efficiently. For instance:
- Statistics
- Bayesian algorithms
- Software Engineering
- Programming languages such as SQL, Python, Java, among others.
- Data science
- Data structures
- IT and efficiency
- Neural networks
- Probability
- Cognitive theories
Successful examples of Machine Learning and Artificial Intelligence
Here we describe in detail 3 of the projects that have been successful in incorporating these excellent tools into their work team:
Netflix
It uses technology to analyze millions of ratings for its series and movies. This way, it can recommend new audiovisual experiences to new clients, taking their tastes into consideration.
Siri / Alexa
They are personal assistants capable of searching for precise data on the web. In addition, they use Machine Learning to predict results with extreme accuracy, based on previous and general user requests.
IBM
This company had expert professionals in Machine Learning to create a development platform capable of processing natural language.
Staff Augmentation vs Machine Learning and Artificial Intelligence
Every company requires experts in specific areas, for example: Data Science, Machine Learning, etc. This with the aim of tackling projects accurately to obtain the best results. When specialized vacancies are needed, Staff Augmentation can be quite helpful.
With the help of this methodology you can safely add qualified personnel to your company. The best? You reduce recruitment costs, you get close to the ideal work team, you increase efficiency and time management.
Having the best programming skills for Machine Learning and Artificial Intelligence can make your company grow further. Because you boost future projects and improve your overall reputation. By using technological bases to hire you improve your employer branding. Machine Learning and Artificial Intelligence are key components for business development. They improve data analysis and its processing to offer better experiences. If you want to take advantage of these benefits, do not hesitate to contact us. We are specialists in digital transformation support.
