Innovations in artificial intelligence are making it faster and cheaper for political campaigns to identify, turn out and extract money from voters. The big picture: Consultants for both major parties are hoovering up voter data to hone advanced fundraising and persuasion tactics. These data tools are especially useful in down-ballot local races. What's happening: A host of consultancies are now marketing their use of AI and machine learning to boost political clients. What they're saying: "This is a super-weapon that Democrats have," boasted Martin Kurucz, Sterling's managing partner, who says his firm has worked with about 1,000 Democratic campaigns and political committees.

Imran has been a part of cutting-edge research about Algorithms and Machine Learning for the last many years. He completed his PhD in 2010 in which he proposed a new Linear Programming based algorithm which can be used to optimally assign resources in a large scale cloud computing environment. In 2017, Imran developed a realtime analytics framework named StreamSensing. He has since authored multiple research papers that use StreamSensing to process multimedia data for various Machine Learning Algorithms. Imran is currently working at Advanced Analytics Solution Center (A2SC) at Canadian Federal Government as a Data Scientist where he is using Machine Learning Algorithms for critical use-cases. Imran is a visiting professor at Carleton University, Ottawa. Imran has also been teaching for Google and Learning Tree for the last many years. The topics Imran teaches include Algorithms, Cloud Computing and Deep Learning. Over his career, Imran has written many research papers and a couple of his recent papers have won the best paper award. Imran also regularly writes blogs on selected IT topics. In addition to his professional work, Imran is into Nature Photography. Over the years he has taken thousands of photos about nature. Imran's passion is to find a way to make technology work for the betterment of humanity. This passion is the main motivation behind his research.

Remember, programming has its own jargon. For example, you will have to deal with such a concept as cycles no matter what language you use. Home programming education is now more affordable thanks to educational technology offering a wide range of courses and programs. During the pandemic, when people have more free time, these resources will help both novice and experienced programmers. The former will get acquainted with the basics of coding, and the latter will be able to hone their professional skills.

Cryptocurrency is gaining more ground each year, which means the space demands an even higher level of understanding for anyone who wants to actually come out ahead. What was once a niche interest for very specific groups of investors will soon be accepted by MasterCard and Tesla, while PayPal started integrating the currency late last year. On top of that, crypto trading is surging in popularity as well, emerging as a niche stock market for people who want to experiment with investing from the comfort of their laptop. If you're new to the world of investing, or if you're a seasoned investor worried about losing your edge, The Quantitative Crypto Trading Strategies Bundle is definitely worth a look at $145. It offers intermediate to advanced training on every aspect of cryptocurrency training, from programming and sorting out risks to the implementation of long-term strategies.

Training neural networks can be very confusing! How many hidden layers should your network have? Why are your gradients vanishing? In this post, we'll peel the curtain behind some of the more confusing aspects of neural nets, and help you make smart decisions about your neural network architecture. I highly recommend forking this kernel and playing with the different building blocks to hone your intuition.

Researchers have developed a computer method using AI techniques that could lead to a deeper understanding of, and treatment for, Crohn's disease, a chronic gastrointestinal inflammation that affects up to 780,000 people in the US alone. The team from Rutgers University, which published the results of the study in the journal Genome Medicine, used artificial intelligence to examine genetic signatures of Crohn's in 111 people, including 64 people with a Crohn's disease diagnosis. Researchers then used an artificial intelligence method, known as AVA,Dx (Analysis of Variation for Association with Disease), to identify genes whose functions changed more in Crohn's patients than in healthy people. The researchers were able to highlight known Crohn's disease genes, as well as new potential Crohn's genes. AVA,Dx also identified 16 percent of Crohn's patients at 99 percent precision, and 58 percent of the patients with 82 percent precision in over 3,000 individuals from separately sequenced panels.

Back in the day, the idea of interacting with robots and computers seemed out of an episode of The Jetsons. But fast-forward to today, and some of the most far-fetched ideas back then have become our reality, and you know what? In Back to The Future II, they used tablets to get Marty to sign up to save the Clock Tower, and then this massive shark pops out of a sign, which freaked 1984 Marty out. The only thing is – do you remember how pixelated the shark was? Magic Leap is augmenting reality to look like a whale can literally crash into a gymnasium, without so much as a drop of water.

Before discussing the ways in which you can learn more about machine learning, we would like to discuss, what the subject matter actually is. Machine learning is basically teaching a computer how to make decisions with the help of relevant data. It is very important for the computer to be able to understand patterns without being fully programmed. The demand for machine learning is an all-time high. It is a skill set which you want to possess, especially in this computer savvy era.

A budding Technical Journalist who loves to take everything creatively. When not writing, you can find her drawing or painting on a canvas or travelling.

For those outside the fold, the Rubik's cube is cognitive kryptonite. Until this week, I'd certainly never solved one. Even now, saying that I solved a Rubik's cube feels like a grievous overstatement of my accomplishments. The truth is that we--a patient pre-teen "cuber" whose solve time is 47 seconds, her slightly-less-patient middle school teacher (whose solve time, she's embarrassed to admit, is closer to a minute and a half), and me--completed a cube together. The site of my public humiliation could not have been more incongruous with the task at hand.