Instructional Material
Application of AI, InsurTech, and Real Estate Technology
In this course, you'll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech. Professor Chris Geczy of the Wharton School has designed this course to help you navigate the complex world of insurance and real estate tech, and understand how FinTech plays a role in the future of the industry. Through study and analysis of Artificial Intelligence and Machine Learning, you'll learn how InsurTech is redefining the insurance industry. You'll also explore classifications of insurtech companies and the size of the InsurTech, Real Estate Tech, and AI markets. You will also explore FinTech specialties with Warren Pennington from Vanguard.
Excel for Data Science and Machine Learning
Beyond learning the basics, Excel can be a powerful addition to your repertoire of machine learning tools. Do data scientists and data analysts use Excel at all? The answer is a resounding "Yes, they do!" Few people in an organization can read a Jupyter Notebook, but literally everyone is familiar with Excel. It provides the direct, visual insight that both experts and beginners need to apply the most common machine learning methods.
HOW TO SUCCESSFULLY DEPLOY AN ML APP
Many Data Science / Engineering enthusiasts out there have that dream of successfully deploying there Machine or Deep learning models into a usable Application. I also had this dream and I still do for many of my models yet to be deployed. This then prompted me to learn and map out the necessary pathways to be followed to successfully deploy a Machine Learning model. One other reason for this article is to prevent people from facing some issues I encountered during the course of deploying my model, one of which is the 17-times crashing of the model before the final deployment. This article contains the pathway and important links to articles, free books and videos to aid your model deployment.
Practical Recommender Systems For Business Applications
A recommender system, or recommendation data model, is essentially a type of machine learning model that filters throughout your previous ... MY COURSE IS A HANDS-ON TRAINING WITH REAL RECOMMENDATION RELATED PROBLEMS- You will learn to use important Python data science techniques to derive information and insights from both structured data (such as those obtained in typical retail and/or business context) and unstructured text data My course provides a foundation to carry out PRACTICAL, real-life recommender systems tasks using Python. By taking this course, you are taking an important step forward in your data science journey to become an expert in deploying Python data science techniques for answering practical retail and e-commerce questions (e.g. I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a data science intense PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real-life data from different sources and producing publications for international peer-reviewed journals.
Underrated Kaggle notebooks every data science enthusiast must know
Kaggle is synonymous with competitions and hackathons in the world of data science, but it is also a great resource to learn more about the field through community-driven notebooks. In contrast to textbooks and lectures, Kaggle notebooks or kernels provide data scientists with tutorials in their language. These are essentially Jupyter notebooks that run in the browser free of charge and without even needing to set up a local environment for Jupyter. In addition, these notebooks explore and run machine learning code and discover vast public and open-sourced repositories. While there are hundreds of thousands of notebooks on Kaggle, all data enthusiasts must-read are the top eight underrated notebooks.
Chatbots Revolutionizing the Concept of Online Education
The rapid advancement of technology has drastically changed our lives in a significant amount of ways. It has been observed that almost half of the population has completely relied on modern technologies to get their daily routine tasks completed easily and efficiently. For Instance, from ordering the food online to paying their bills using online wallet apps and taking online classes, all are encompassed in the various forms of the latest technologies. In the past few years, we have witnessed an immense shift from the conventional ways of education into the latest education methods. This pandemic led to the physical closure of educational institutes, schools, colleges, universities, and the overall educational process has shifted towards the online mode of education.
Why You Should Consider a Multi-Cloud Strategy in Your Next Machine Learning Project
Cloud computing services have been dominated by the most popular and big tech companies in the world such as AWS, Microsoft Azure, Google GCP, and IBM. But every cloud service provider has some strengths and drawbacks that make it difficult for one cloud solution to meet all of an organization's needs. Implementing a multi-cloud strategy allows companies to have more flexibility to optimize costs, speed, and performance. In this article, you will learn what Multi-cloud strategy is, its pros and cons, and how it will reduce the cost to run your infrastructure and applications. Multi-cloud strategy refers to the use of more than one cloud service (multiple cloud services) from two or more vendors.
What do you Understand by Neural Network in Artificial Intelligence
This tutorial is about the What do you Understand by Neural Network in Artificial Intelligence. We will try our best so that you understand this guide. I hope you like this blog What do you Understand by Neural Network in Artificial Intelligence. If your answer is yes then please do share after reading this. The term "artificial neural network" refers to a biologically inspired subset of artificial intelligence that is modeled after the brain.
10 Robotics Conferences and Events to Watch and Attend in 2022
Conferences, summits, or events are gatherings of like-minded people and industry peers. You will learn more about new technology, techniques, and personal experiences with data difficulties and how they are addressed. Robotics conferences and events have been gaining popularity with the rising demand for technology in the different industries. You will have the opportunity to network with your peers at these conferences. This article features the top 10 robotics conferences and events to watch and attend in 2022.