Best 38 quotes in «machine learning quotes» category

Aim for simplicity in Data Science. Real creativity won’t make things more complex. Instead, it will simplify them.

AI can be programed to imitate human behavior only, but it can't be programmed to feel the emotions that make the humans behave the way they do.

Artificial intelligence is nowhere near attaining actual sentience or awareness. And without awareness it’s simply a mechanical device, which may pretend to show emotions and sentience, if it is programmed to do so, and thus it may be able to fool the humans as being alive, but in its own internal circuitry, it’d simply be following its preprogrammed tasks through the flowchart of an algorithm.

Artificial intelligence is defined as the branch of science and technology that is concerned with the study of software and hardware to provide machines the ability to learn insights and patterns from data and the environment, and the ability to adapt automatically to changing situations with high precision, accuracy and speed.

artificial intelligence is forcing human endeavor away from simple, algorithmic and repetitive tasks towards solving problems and incubating new ideas. It is the human mind, as opposed to the human body, which has been an underutilized resource for far too long

As one Google Translate engineer put it, "when you go from 10,000 training examples to 10 billion training examples, it all starts to work. Data trumps everything.

AI research can have irreversible repercussions in the life of the human species, so we must tread cautiously.

Computation is not the same as thought and emulation is not the same as imagination.

Cyber hygiene, patching vulnerabilities, security by design, threat hunting and machine learning based artificial intelligence are mandatory prerequisites for cyber defense against the next generation threat landscape.

Automation vs. human labor is a false dichotomy

Errors per qubit per quantum gate can be handled more efficiently by machine learning techniques. For quantum error correction deep learning algorithms provides greater promises.

It's time to wake up and smell the Mutating Hash! Signature Based Malware Detection is Dead

Econometrics is the application of classical statistical methods to economic and financial series. The essential tool of econometrics is multivariate linear regression, an 18th-century technology that was already mastered by Gauss before 1794. Standard econometric models do not learn. It is hard to believe that something as complex as 21st-century finance could be grasped by something as simple as inverting a covariance matrix.

Computers are programmed, so are the humans, but the computers can’t act outside their programming, whereas the humans can.

If it is artificial intelligence we are trying to develop, then there is no need for concern, for no matter how smart an AI gets, it’ll still not be able to defy the programming of its creator, but if it is artificial sentience we want to develop, then we must rethink.

Isn't it remarkable that of all the machines devised by the humans, not one can replace imagination!

One of the most important problems in machine learning—and life—is the exploration-exploitation dilemma. If you’ve found something that works, should you just keep doing it? Or is it better to try new things, knowing it could be a waste of time but also might lead to a better solution? Would you rather be a cowboy or a farmer? Start a company or run an existing one? Go steady or play the field? A midlife crisis is the yearning to explore after many years spent exploiting.

Man’s relationship with technology is complex. We always invent technology, but then technology comes back and reinvents us

Pretending to have sentience is not the same as having sentience.

Neither Man, nor machine can replace its creator.

People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world.

Pretending to have sentience is not the same as showing signs of sentience.

Simulating the behavior of 100 billion neurons of human brain is not feasible by classical computer but quantum machine learning promises to fulfill that requirement.

Quantum machine learning promises to discover the optimal network topologies and hyperparameters automatically without human intervention.

Tablebases [logs of complete chess games played backwards from the end-state of checkmate] are the clearest case of human chess vs. alien chess. A decade of trying to teach computers how to play endgames was rendered obsolete in an instant thanks to a new tool. This is a pattern we see over and over again in everything related to intelligent machines. It's wonderful if we can teach machines to think like we do, but why settle for thinking like a human if you can be a god? (jm3: Frustratingly for the humans, it was not disclosed whether IBM's Deep Blue stored and consulted endgame tablebases during competition).

The beauty of quantum machine learning is that we do not need to depend on an algorithm like gradient descent or convex objective function. The objective function can be nonconvex or something else.

The business should come to realize that the secret of Data Science is to remove all ideas, all concepts, in order for the truth to have a chance to reveal itself.

Quantum Machine Learning is defined as the branch of science and technology that is concerned with the application of quantum mechanical phenomena such as superposition, entanglement and tunneling for designing software and hardware to provide machines the ability to learn insights and patterns from data and the environment, and the ability to adapt automatically to changing situations with high precision, accuracy and speed.

Signature-based malware detection is dead. Machine learning based Artificial Intelligence is the most potent defense the next gen adversary and the mutating hash.

The business would do good to understand that success or failure is not final in Data Science. For this reason, the business should develop a persistent spirit.

The humans have become so obsessed with innovation that they have completely ignored their own soul. And among these innovation-obsessed humans, the so-called transhumanists are the most deluded bunch, for they don’t have a clue of any kind of order in the human mind, yet they boast about developing more advanced technologies to merge the mind with machine – and the most interesting thing to notice here is that, they don’t even have a clue that they don’t have a clue.

The greater the uncertainty, the bigger the gap between what you can measure and what matters, the more you should watch out for overfitting - that is, the more you should prefer simplicity

The human condition is plagued with a labyrinth of shortcomings, frailties and limitations that hinder man from reaching his fullest potential. Therefore, it only makes sense that we find ourselves at the next phase in human evolution where restricted man merges with the infinite possibilities of hyper-evolving technologies. This techno-human transmutation will prove to be ‘the’ quantum leap in human progression. The harmonization of technologically extending oneself, consciousness, artificial intelligence and machine learning will reverse the failures of genetic predisposition and limitation.

The great paradox of automation is that the desire to eliminate human labor always generates new tasks for humans.

The relationship between humans and machines is better imagined as a partnership with machines employed to do work too repetitive or rudimentary for human intelligence, too dangerous for human well-being or too complex for human time. Human capability, on the other hand, has always excelled at fashioning such machines, creating meaning from the unfamiliar and in imaginative pursuits. In such an arrangement, technology does replace human effort, but only in areas where human effort is sub-optimal.

We need machines, but more than that we need humans who know how to use those machines for the greater good.

When fervent human curiosity is abandoned to the power of AI, the intrinsic executive function, cognitive control, interrogation, and discord will rapidly weaken to the surrender of the narrative/reality created by AI.

We are manipulating machine intelligence, and in the process, we have forgotten to effectively utilize the true potential of our own mind, let alone focus on improving the mind. We are developing artificial intelligence and have forgotten to develop our own psyche.