Author Archives: Amal Nair - Page 17
Microsoft’s New AI competition Challenges Data Scientists Worldwide To Prevent Malware Attacks
2018 will be remembered as the year of data breaches. With well-established and multi-billion dollar companies like Facebook and Marriott falling victims to cybersecurity and data breaches, the concern for data security has grown significantly. With the improvement of technology and its availability to a large number of consumers, the use of technology remains unmonitored.…
The post Microsoft’s New AI competition Challenges Data Scientists Worldwide To Prevent Malware Attacks appeared first on Analytics India Magazine.
Real-world data may not be as simple as predicting a person’s salary against his or her experience. While this is just one example, there can be so many factors that may affect an employee’s salary. Real-world data is much more complex and therefore identifying and predicting a dependent factor against so many independent factors can…
The post Hands-On Tutorial On Principal Component Analysis In Python appeared first on Analytics India Magazine.
Real-world data may not be as simple as predicting a person’s salary against his or her experience. While this is just one example, there can be so many factors that may affect an employee’s salary. Real-world data is much more complex and therefore identifying and predicting a dependent factor against so many independent factors can…
The post Hands-On Tutorial On Principal Component Analysis In Python appeared first on Analytics India Magazine.
The advancements in the field of artificial intelligence and machine learning are primarily focused on highly statistical programming languages. That’s why programming languages like R have been gaining immense popularity in the field, slowly but steadily closing in on the predominant Python. With libraries and packages available for all sorts of mathematical and statistical problems,…
The post Beginners Guide To Creating Artificial Neural Networks In R appeared first on Analytics India Magazine.
The advancements in the field of artificial intelligence and machine learning are primarily focused on highly statistical programming languages. That’s why programming languages like R have been gaining immense popularity in the field, slowly but steadily closing in on the predominant Python. With libraries and packages available for all sorts of mathematical and statistical problems,…
The post Beginners Guide To Creating Artificial Neural Networks In R appeared first on Analytics India Magazine.
Regression is one of the most common data science problem. It, therefore, finds its application in artificial intelligence and machine learning. Regression techniques are used in machine learning to predict continuous values, for example predicting salaries, ages or even profits. Linear regression is the type of regression in which the correlation between the dependent and…
The post How To Code Linear Regression Models With R appeared first on Analytics India Magazine.
All machine Learning beginners and enthusiasts need some hands-on experience with Python, especially with creating neural networks. This tutorial aims to equip anyone with zero experience in coding to understand and create an Artificial Neural network in Python, provided you have the basic understanding of how an ANN works. Prerequisites Basic understanding of Artificial Neural…
The post How To Create Your first Artificial Neural Network In Python appeared first on Analytics India Magazine.
With tech giants like Microsoft, Google and Amazon providing cloud solutions, why do we need an independent machine or server to do the job? The reason is simple: cloud solutions are far too expensive in the long run and it all depends on the usage of resources. In this article, we will be concentrating on…
The post How To Build Your Own Deep Learning Server From Scratch appeared first on Analytics India Magazine.
It is practically impossible to remove noise completely from a dataset which justifies the high usage of probability and statistics in machine learning models. Probability helps to quantify uncertainty caused due to noise in a prediction. Overfitting is a major problem as far as any machine learning algorithm is concerned. And it has been proven…
The post Improving Deep Learning Model Robustness By Adding Noise Using Keras appeared first on Analytics India Magazine.
Optimisation is the most important component when we consider machine learning algorithms. It helps in reducing the error and improving the accuracy in the solution of a problem. Gradient Descent is one such algorithm which is used for the purpose of optimisation. Here we take a deeper look at what Gradient Descent is and how…
The post How ML Frameworks Like TensorFlow And PyTorch Handle Gradient Descent appeared first on Analytics India Magazine.