Machine Learning News

One of the hottest areas of technology today, Machine learning promises to have a profound impact on our world and the way we live. Perhaps most exciting is the fact that we have reached the point where it is much more than just hype, as evidenced by the massive amount of investment from the corporate world in talent and resources dedicated to this space. Usually described as a subset of artificial intelligence, machine learning involves computers using large amounts of data to teach themselves and improve their performance of certain tasks. Already, we are seeing machine learning applied in a variety of areas, from transportation to healthcare, retail and cybersecurity, among others. Self-driving cars Probably the most high-profile example machine of learning becoming reality is in the autonomous vehicles space. While widespread adoption is still several years away, self-driving cars have been in development for some time, and are currently in test pilots in 50 ci

Player Unknown’s BattleGrounds has always been a game where cheating has been extremely prominent. Indeed, the game has also made multiple headlines for banning even professional players who cheat in their games. However, the problem has never really gone away ever since the game was in beta. Cheaters continued to find new methods to exploit holes in the game’s implementation of anti-cheat and were caught in the next wave of bans, but more and more just kept coming. Now, the company has adopted artificial intelligence to combat cheaters, bringing across a level of security that has not been seen in the game before. In a recent blog post, the anti-cheat team of PUBG detailed the use of machine learning to target cheaters in their games. They also detailed the various reinforcements they have made in the past, and the various solutions they used to do. Reportedly, the main methods used by cheaters to hack the game include DLL and code injection, kernel driver attacks, and SS

IBM  has developed a Machine Learning algorithm which shows promise for detecting and slowing the progress of Alzheimer’s disease . Alzheimer’s is a brutal disease not just for sufferers, but their loved ones too. The disease currently has no cure and causes an increasing loss of memory, confusion, and difficulty completing once familiar tasks. Ben Goudey, Staff Researcher of the Genomics Research Team at IBM Research, wrote "At IBM Research, our mission is to use AI and technology to understand how to help clinicians better detect and ultimately prevent these diseases in their early stages."  IBM Australia published a paper today providing details of how machine learning and AI can be used to predict the severity of the disease and help to slow its progression. Early diagnosis helps to prepare the sufferer and their loved ones as much as possible before degeneration takes hold. Official diagnosis also helps to make the patient available for medical trials wi

A good topic, It is always good to know about the future of the domain you work in or you interested to enter into. Google says ” Machine Learning is the future ”, so future of machine learning is going to be very bright. As humans become more addicted to machines, we’re witness to a new revolution that’s taking over the world and that is going to be the future of Machine Learning. I would say it is a good choice to select Machine Learning Course to enhance yourself.! Since, Machine learning has been the hot career areas in IT and development organizations and focuses on the development of computer programs that allow the computers learn automatically without human intervention. Machine learning is expanding fast and with its smart algorithms applied everywhere, it has turned into a new in-demand career option with high opportunities for qualified ML professionals. Where it use? Few machine learning application using in modern world given below that we use in our

Most recently, Google added  Machine Learning to its robust spam filters in Gmail. According to the Mountain View-based company, the new protections catch and an additional 100 million spam messages every day. TensorFlow , the tool will help filter additional spam for Gmail users. The company started using the new filters last month and claims that it has managed to block extra 100 million spam messages every day with its help. TensorFlow was originally developed for Google’s internal use. The company had released Machine Learning Framework three years ago under the Apache 2.0 license. The company claims that since then, developers from around the world have produced 71,000 forks of public code and other open source contributions. As The Verge has stated, the company says that adding TensorFlow to Gmail will enable it to better personalize spam filters. This whole process is going on for years, where Gmail searches for certain signals from users, on the basis of which it

Here are the answer for you, In recent times, the demand for machine learning experts has witnessed an exponential growth. So, what programming languages should one learn to land a machine learning job? The answer lies in the languages like Python, R, and Java . According to a report published back in 2016, Python has made a strong impact on the data scientists over the past few years gaining the dominance of 75% adoptability in comparison to other languages. Moreover a research conducted by Indeed.com shows the growth trends of 9 different languages, where Python has come out to be the most demanding programming language for machine learning. Free PDF – Complete Python Machine Learning Course Content Reasons behind the Python’s Success Python   being a general-purpose language supports diverse activities like web development, data analytics and artificial intelligence which in turn has made it gain momentum among the programmers. As per TIOBE index,