Machine Learning

Data Mining in Software Engineering {0}

By Jesus S.

The today’s day and age everyone thrives off of data. Data has become key for organizations to succeed. Whether it be in the marketing field, health care field, agriculture field, and the list goes on! Data can help you strike gold, if you know can find out what people want, what people dislike, what is trending than that can help you become successful. Data mining is the technique we use to collect as much information as possible and turn it into data which is useful to us. I will be describing how data mining is used in software engineering.

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Machine Learning in the Travel Industry {0}

By Binyong X.

The travel industry has changed in many ways due to the evolution of machine learning. It also made a great impact on how people decided on their trip plan such as when and where to buy tickets. Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed (Samuel). There’re generally three types of machine learning: supervised, unsupervised and reinforcement. Supervised learning is where the algorithm generates a function that maps inputs to desired outputs. Unsupervised learning is which models a set of inputs where the labeled examples aren’t available. Reinforcement learning is where the algorithm learns a policy of how to act given an observation of the world (Ayodele).

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Changing The Way We See Machine Learning In The Field Of Telecommunication {0}

By Edwin T.

In the age of information, the internet is becoming a vast source of information that is waiting to be delivered and collected. Without programming tools, the world is losing valuable information and opportunities. With machine learning, people and companies will be able to utilize some of that information and attempt to apply it to something useful that people and industries alike can benefit from. Putting machine learning in conjunction with telecommunication can bring about great changes that will revolutionize the way we see the internet.

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Machine Learning: Software Industry {0}

By Haykaz T.

Machine Learning has been around for a very long time. People have used algorithms to make better sense of the data they were dealing with. This has always been a hard subject though. You need to be an expert to properly code and develop a software that can learn and interpret your data. Over the last decade we have seen an increase in machine learning software that can take big data and automatically use complex algorithms to better understand it. Machine Learning is the next big thing and many experts think that it will dominate the software industry. We are going to look at two big companies and how their Machine Learning tools will help make such a complex subject an easy one that almost anyone could pick up.

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Machine Learning and Security {0}

By Justin S.

Is machine language going to be the future of cyber security or is it just a pipe dream? Many people in the technology community have their own opinions referring to this statement. According to Simon Crosby, CTO at Bromium, argues that “There is no silver bullet in security”. He states that in cyber security you are going up against people that for the most part were taught to learn security for good. Some people with devious minds however learn how to alter the minds of machine language for the bad. Crosby makes a good point because most black hat hackers can learn how to alter machine language so having machine language as an ally in the security field could be more of a con than a pro. Others believe that machine language can and will eventually be the future of security. According to Mike Paquette, VP of products at Prelert, says that “machine learning is cyber security’s answer to detecting advanced breaches, and it will shine in security IT environments as they grow increasingly complex”. Both have very valid arguments and it could be both a pipedream or potentially be the answer we have all been waiting for.

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Machine Learning in Retail {0}

By Esteban R.

Ever since the purchasing markets have been expanding, the demand for a better system that needs to be placed into play has been crucial. People tend to have different taste and preferences, so at the end of the day they will ultimately make the decision on what to spend their money. As new systems are applied to company’s ways of doing business in retail, the better off those companies will understand the needs of their customers. We must first understand the science behind these new systems how they will help companies in the end. These systems are using artificial intelligence to provide computer with the proper learning abilities to learn the proper algorithms. Nonetheless, these new systems known as machine learning. From here, these machine-learning systems will better understand the customer habits, purchase history, consumer demand, and market trends.

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Machine Learning in Real Estate {0}

By Brian P.

Machine learning has become a new topic which has captured the interest of a great deal of people worldwide, but what exactly is machine learning? Machine learning is, as the name implies, a way for artificial intelligence to learn on its own. Though the process of machine learning is different now, before people use to data mine and tried to use programs to help other people understand it, machine learning on the other hand “The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension — as is the case in data mining applications — machine learning uses that data to detect patterns in data and adjust program actions accordingly” (Rouse, 2017). Programmers are no longer concerned with helping others understand massive datasets, rather just helping the computer understand it so that it can do useful tasks with that data for us. According to the same article, there are 2 types of machine learning, supervised and unsupervised. The main difference is that supervised applies what is known from the past while unsupervised is all new data in which the AI has to make inferences.

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Machine Learning: Logistics & Transportation {0}

By Thong N.

Machine learning is a big part of how businesses today operate and function. Once the technology is created and almost perfected, these machines that people create can make a big impact on how efficient a business operates. So far with the research and development that has been done on technology and machine learning, the need for more workers in the logistics and transportation industry will be a thing of the past.

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How Machine Learning has affected the Insurance Industry {0}

By Jose M.

Machine learning is a new type of “artificial intelligence” that gives computers an ability to learn, without being programmed. In our day in age, this is essential to all rapid technical advancements we are experiencing. One of the industries artificial intelligence is affecting is the insurance industry.

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Machine Learning in Aerospace {0}

By Louis M.

The aerospace industry is a complex and heavily data-reliant field which requires a great deal of research, design, and production for proper execution of its products and services. Machine learning has played an active role in the development of technology in aerospace to aid in this process, providing valuable information that would otherwise be difficult to obtain or unobtainable using traditional methods. The development of autonomous systems of control and execution for vehicles and aircraft has been a field of particular interest and help in this industry as well. As the development of this field progresses, it will continue to play a key role in the development of the industry as a whole.

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