Data science is present and future technology tool for the successful evolution of many industries. Probably every field already involves some level of data science elements such as statistics, machine learning or more pronounced AI tools. However, there are few industries where importance of data science is vital. Healthcare The medical field already heavily relies on data. Extensive amounts of information stored in medical databases require tools to analyse this data and apply discovered knowledge to practical use. Each patient is followed by a data stream, which needs to be explained, classified for better disease prediction or more effective rehabilitation. Standard statistical tools are minimal when more in-depth knowledge discovery is required. The task for data scientists is to apply smart AI algorithms for best information discovery and converting into a convenient form which can be included in medical decision support systems. The key directions of data science in medicine are:
One of the biggest reasons people feel frustrated is because they’re dwelling on the negative rather than noticing the positive. You can change your life for the better when you focus on what makes you happier. Contrary to popular belief, happiness is rarely accidental, nor is it the result of achieving your goals. It’s usually the result of consistently making the right decisions to optimize your well-being. This is the approach Martin Seligman adopted when he founded the field of Positive Psychology. Traditionally, psychologists concentrate on a client’s mental and emotional problems. Peterson, a contributor to the new movement, defined Positive Psychology as “the scientific study of what makes life worth living.” Here are three questions you can ask to steer your life in the right direction:
With modern advancements in medicine, many illnesses that were once serious or potentially life-threatening are manageable today. That said, some of these cures or ailment-slowing drugs and procedures require stricken persons receive injections or come into contact with other types of medical equipment. Needles Are An Established Fear It might be hard for some people to believe, but a significant portion of society is afraid of needles. Scientific researchers have found that as many as 20 percent of the United State’s population demonstrates some fear level regarding needles and receiving injections. Roughly 10 percent of this same group is believed to be afflicted with a potentially paralyzing fear called trypanophobia, which is a complete fear of needles. This condition often causes impacted persons to become so fearful of the sight of needles and receiving shots that they avoid medical testing and, in certain instances, treatment to chronic conditions. There are also fears associated to needles and injections that become an issue. Mysophobia, a fear of germs and contamination, might become prevalent when someone needs to have a vaccination. Imagine how a diabetic person suffering from mysophobia must feel when they need to have an insulin injection; water is known to…
No one really wants to be tracking the money they spend while on holiday. After all, a trip away should be a time for relaxing and not worrying about those mundane day-to-day issues. Yet reality, as ever, gets in the way, and the fact remains that the vast majority of us have to be careful with a budget while we are away. Imagine the scene. You are standing there, just about to pay for something with cash. You are off the beaten path, and you suddenly realise that you don’t have anywhere near as much money as you though you did in your wallet or purse. How did this happen? You frantically start casting your mind back – there was lunch and dinner yesterday, then you bought that coffee at that little café, and then…It’s all a little frustrating and exasperating. There must be a better way of keeping track of your holiday expenditure than this mental count back? Fortunately, there is a better way. There are several apps in fact. And they can be used in a way that doesn’t affect the good time you are hopefully having. Here are eleven such examples:
In the past, people did everything slowly. At best, people created every through sheer will power and their bare hands. Even with the aid of simple machines, people always had a limit for everything, even though a lot of them had ingenuity and creativity. If it weren’t for innovators such as Leonardo da Vinci, we would still be in the dark ages today. These people were often overlooked, even considered crazy by some, as they were way ahead of time. If you notice the blueprints and art of da Vinci, you’ll see that most of them have been brought into existence. Some of his work in the past were: Flying machines. Considered by a lot as crazy as flying was only for creatures. Now, some planes travel at the speed of sound.
Almost everyone would agree that the time has come to properly differentiate between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). This is owing to the fact that a lot of people do not know the difference between these terms. Are you also caught up in the confusion? An artificial intelligence survey conducted by a business finance and accounting company known as Sage revealed that 43% of participants in the US and 47% of participants in the UK disclosed that they did not know what Artificial Intelligence was all about. As a result, leaders in the tech industry have realized the pressing need for them to put AI and its subcategories (machine learning, deep learning) into proper business vocabulary that they would be easily understood by everyone. Fortunately, in this post, we will be looking to differentiate between AI, ML and Deep Learning. These three terms are often used interchangeably; however, they mean different things. Let’s go deeper into the nitty-gritty of these terms.