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Real time applications of AI

Prasad Jadhav

Real time applications of AI. In this blog, you will get to know the different real time applications of AI in different fields such as banking, finance, marketing, etc. You will also become aware as to why Artificial Intelligence is the next revolutionary

Prasad Jadhav

From the Author

Careem. The true story

Prasad Jadhav

5 Incredibly Useful How IBM Cloud Private For Data Can Help In Fostering AI Tips For Small Businesses

Prasad Jadhav

What are the benefits and features of the mobile app used in the travel industry?

Prasad Jadhav

Solutions for Uncovering and Addressing Algorithmic Biases with AIOps

martechcube

The business world is increasingly turning to artificial intelligence (AI) systems and machine learning (ML) algorithms to automate complex and simple decision-making processes. However, there are a few shortcomings, like algorithmic bias, that have been a major concern for IT professionals and other employees in the company. Key Technologies in Addressing Algorithmic BiasesWith the use of cutting-edge AIOps technologies, IT professionals can understand and explore the algorithmic biases in the system. Unsupervised Learning TechniquesUnsurprised learning is an essential component of AIOps for detecting algorithm biases and unwanted labeled data, which is necessary for traditional supervised learning but with limited knowledge. While not all scenarios involving algorithmic bias are concerning, they can have major negative effects when the stakes are high.

The Evolution of Deep Learning

Anil

Introduction to Deep LearningWelcome to the world of deep learning! In this blog section, we will explore the evolution of deep learning, from its beginnings with neural networks to the more advanced convolutional neural networks and generative adversarial networks used today. Moving forward into the 2000s and beyond, deep learning has become a prominent focal point for technological research. Unsupervised and Reinforcement LearningThe evolution of deep learning has led to the development of two distinct methods of machine learning: unsupervised learning and reinforcement learning. Recent Innovations in Deep Learning TechnologiesThe world of deep learning is rapidly evolving, with more and more innovative technologies being introduced on a regular basis.

Practical Deep Learning: Image Search Engine

Ben Cryer

Artificial intelligence is one of the fastest growing fields of computer science today and the demand for excellent AI Engineers is increasing day in and day out.

This course will help you stay competitive in the AI job market by teaching you how to create a Deep Learning End-to-End product on your own.Most courses focus on the basics of Deep Learning and teach you about the very basics of different models.

In this course, however, you will learn how to write a whole End-to-End pipeline, from data pre-processing across choosing the right hyper-parameters, to showing your users results in a browser.The case that we will tackle in this course is an engine for Image to Image Search.Why should you take this course?This course is not focused on teaching you Neural Networks (ANNs, CNNs, RNNs…), but teaching you how to apply them in real world cases.If you haven’t worked on a product that uses Deep Learning before, this is the perfect course for you!

Throughout the course we will work together on the Image to Image Search engine, starting from ground zero - image pre-processing, creating a model, training it, then testing.

After that we will create a simple web application and use it to serve our model in production.Another cool thing about this course is that we will use multiple programming languages to create the whole application around the model itself.

This will make you not only a better AI Engineer but also get you on the path towards becoming a Full stack AI Engineer.After taking this course you will guarantee yourself to be one step closer to landing your dream job as an AI/ML Engineer by having your own AI product/project in your portfolio.continue reading