In today’s fast-paced business world, data science has emerged as a vital tool for companies to make informed decisions based on the massive amount of data they collect. Data science is a rapidly expanding field, and its popularity has led to the creation of various online data science courses to help individuals brush up their […]
The Internet of Things (IoT) has revolutionized the way we interact with technology, from smart homes to industrial automation. However, with this increased connectivity comes an increased risk of security breaches. Developing secure IoT applications is a complex and challenging task that requires a thorough understanding of the unique security risks associated with IoT devices. In this article, we will explore the key challenges that developers face when developing secure IoT applications and provide insights into best practices for mitigating these challenges.
Excerpt: Big data has become a household name for businesses nowadays. It has become an integral part of all sorts of businesses, especially for those enterprises that leverage data to gather insights. Data Science has become a meeting point for science and AI in this day and age. Even after the onset of the pandemic, the field has seen tremendous growth.
This article focus on introducing ML and its use in classification. Mathematical principles have not been covered in it. We will cover some mathematical details and also the basics algorithms in next few articles.
Machine learning in AI has affected many fields specially those which require repetitive tasks such as marketing automation. Manual work conditions are changing rapidly and those who are adopting to change and continuously trying to implement new methods are those who will win eventually.
The program has the potential to create an unparalleled Digital upskilling and re-skilling capability. Overall, the program has uniquely positioned with multi-year and multi-fold benefits.
In this blog, you will learn how to become a Machine Learning Engineer. Also, you will learn about the skills, responsibilities, salary and job trends of ML professionals.
Machine Learning Course Training in Mumbai helps you to master AI / ML topics to become an ML Engineer. Enroll in our Machine Learning certification course!
No content
This is a Leopards team’s submission for the Propaganda Detection datathon. Key findings: the best performing classifier is logistic regression, operating on Word2vec representations of the sentences plus several designed features like the proportion of sentiment-bearing words in the sentence.
Propaganda is a form of communication that is aimed at influencing the attitude of a community toward some cause or position. It often presents facts selectively to encourage a particular synthesis. The disinformation damages the reputation of respectable news outlets, organisations and very bad for business indeed. The objective of the Hackathon is to be able to detect the Propaganda and Non-propaganda news as well as to develop a model that can help with the venture. The other objectives of this work includes detecting phrases which are propagandist and also finding out the type of propaganda it is. The algorithms that we will be taking help from are Passive Aggressive, Multiple Layer Perceptron Network, Logistic Regression, AdaBoost, Decision Tree, Random Forest, KNN, SVM and Naive Bayes to detect the potentially propagandistic and non-propagandistic sentences in a news article. For the evaluation, we are calculating F1 Score to measure the class imbalance in the testing dataset. We have used the best model for detecting propagandist and non-propagandist articles, phrases and also type of propaganda.
