As the Data Science and Machine Learning field evolve, there is a huge demand for a number of professionals who are skilled in this domain.
With the data revolution in full swing, there is more information on the internet than a human can remember and process in his/her lifetime. Data
Building algorithmic agents with neural networks is the go-to business strategy in the current technology environment. Now, Google’s Tensorflow library helps developers build these agents
Understanding the human language is one of the most complex tasks for a machine, but with the current artificial intelligence trend, it is getting easier
With artificial intelligence being implemented in almost every sector, it is important to understand the maths behind how it functions so accurately. Activation functions are
Reinforcement learning algorithm, soon becoming the workhorse of machine learning is known for its act of rewarding and punishing an agent. This acts as a
Video games are usually based in a perfect (or stable) world scenarios where one adorns a character who is dismissed from the reality, possesses inhuman
With this evolving world where data is the key, job openings for data analysts and data scientists are rising daily. There are two sides when
Auto Keras is the new open-source neural network library built for automated machine learning. This is built upon Keras where one with less knowledge about
Gaming is sometimes addictive but it doesn’t mean that it cannot be productive. It has been scientifically proven that games help one to think better
Python is now being hailed as the programming language of the decade because of its versatile nature. With simple english words being used in coding,
In today’s fast-paced world, data can be compared to DNA — with data, it is easy to understand the past, predict the future and also
Source: http://gallery.world/ Machine Learning models are trained using data with specific features. The way in which the data is structured helps the models to learn
Transmitting sound through a machine and expecting an answer is a human depiction is considered as an highly-accurate deep learning task. Every one of us
As artificial Intelligence is being implemented in almost all sectors of automation. Deep learning is one of the trickiest architectures used to develop and maximise
With the rise in analysis platforms across every sector, leading big tech companies and startups are integrating Machine Learning and Deep Learning in their existing
Image Source: marcobarcelon.deviantart.com Disclaimer: The aim of the article is to convey why GPU is better than a CPU. The use of GPUs in the
Optimising hyperparameters is considered to be the trickiest part of building machine learning and artificial intelligence models. It is nearly impossible to predict the optimal
Botanicus Interacticus is a new interactive plant technology which does not require any new instrumentation in plants. A simple electrode placed inside the soil is
3D objects on a computer screen look like real life, and with the 3D glasses on, it’s almost like witnessing the event live. But is
Deep learning (DL) is a vast field with a developing research currently being implemented in the industry. From speech-to-text, and object detection, to image recognition
Deep convolutional networks have led to remarkable breakthroughs in image classification. Driven by the significance of convolutional neural network, the residual network (ResNet) was created.
Natural language processing has been developing through the years with the introduction of word vectors which give the ability for the AI to learn and
Natural Language Processing is one of the most commonly used technique which is implemented in machine learning applications — given the wide range of analysis,
There are many deep learning frameworks out there and it can lead to confusion as to which one is better for your task. in this
General Motors have been actively building autonomous cars with a vision to bring emission-free cars which would reduce congestion and traffic all over the world.
Recent advancement in Deep Learning and its implementation has been causing chaos in the market. The monster GPUs on the cloud can run enormous computations
Bidding optimisation is considered among toughest critical problems in online advertising. Bidding strategies adopt different search pattern, for example, Sponsored Search (SS) which depends on
Q-Learning is a reinforcement learning technique. It has the ability to compute the utility of the actions without a model for the environment. It takes
Reinforcement learning is a technique in building an artificial intelligent network where an agent is allowed to play or run by itself, correcting its movements
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