Find helpful learner reviews, feedback, and ratings for Generating New Recipes using GPT-2 from Coursera Project Network. Read stories and highlights from ... In this 2 hour long project, you will learn how to preprocess a text dataset comprising recipes, and split it into a training and validation set. You will learn how to use the HuggingFace library to fine-tune a deep, generative model, and specifically how to train such a model on Google Colab. Finally, you will learn how to use GPT-2 effectively to create realistic and unique recipes from lists of ingredients based on the aforementioned dataset. This project aims to teach you how to fine-tune a large-scale model, and the sheer magnitude of resources it takes for these models to learn.

Getting Started with Quantum Machine Learning The most exciting advancement just may be in the field of Artificial Intelligence and Machine Learning. Quantum computers can theoretically speed up matrix ... In this 2-hour long project-based course, you will learn basic principles of how machine learning can benefit from work, and how this can be implemented in Python using the Pennylane library by Xanadu. Quantum Computing represents a completely new paradigm in the computing realm, posed to revolutionize entire industries and bring amazing new innovations as they are used for purposes such as material design, pharmaceutical design, genetic and molecular simulations, and weather simulations. The most exciting advancement just may be in the field of Artificial Intelligence and Machine Learning. Quantum computers can theoretically speed up matrix multiplications and process massive amounts of data very quickly, and thus may represent a paradigm shift in AI and ML.

About this Course 18,922 recent views This course will enable you mastering machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions. The course will start with an introduction to the fundamentals of machine learning, followed by an in-depth discussion of the application of these techniques to portfolio management decisions, including the design of more robust factor models, the construction of portfolios with improved diversification benefits, and the implementation of more efficient risk management models. We have designed a 3-step learning process: first, we will introduce a meaningful investment problem and see how this problem can be addressed using statistical techniques.

Penn State has launched its first degree program in artificial intelligence, a master's degree that is offered online and designed to provide a professional, technical education in developing and deploying AI and machine learning. Penn State is now accepting applications for the Master of Professional Studies in Artificial Intelligence program, which is being offered by the engineering division of the Penn State Great Valley School of Graduate Professional Studies online through Penn State World Campus. The first courses will start in January 2022. Penn State's first academic offering in AI comes at a time of soaring growth in the job market and of increasing presence of AI in everyday products and services, said Colin Neill, a professor of software and systems engineering who is the director of the new program. The World Economic Forum estimates that AI will lead to the creation of 97 million new jobs by 2025.

Function optimization is a foundational area of study and the techniques are used in almost every quantitative field. Importantly, function optimization is central to almost all machine learning algorithms, and predictive modeling projects. As such, it is critical to understand what function optimization is, the terminology used in the field, and the elements that constitute a function optimization problem. In this tutorial, you will discover a gentle introduction to function optimization. A Gentle Introduction to Function Optimization Photo by USFS, Interior West FIA, some rights reserved.

South Eastern Regional College (@S_ERC) is hosting an online international conference to highlight the need for businesses to identify employee digital skills gaps and provide relevant digital skills training for employees in preparation for the move to Artificial Intelligence (AI) technology within the work environment. The Reskilling Revolution in the Artificial Intelligence Era: The Case for Digital Upskilling is online 10am – 1.00pm GMT, Thursday 17 June. However, more and more businesses are also reaping the benefits of AI whether that's a small business replacing paper-based processes with digital, using drones, virtual reality or augmented reality or a total transformational change. The impact for employees could be devastating, with concerns over job role and security, but by providing relevant digital upskilling training, employers can retain valuable employees minimising uncertainty and job losses." Speakers will include leading experts from the field of Artificial Intelligence who will share their knowledge and expertise.

This course is the next logical step in my deep learning, data science, and machine learning series. I've done a lot of courses about deep learning, and I just released a course about unsupervised learning, where I talked about clustering and density estimation. So what do you get when you put these 2 together? In these course we'll start with some very basic stuff - principal components analysis (PCA), and a popular nonlinear dimensionality reduction technique known as t-SNE (t-distributed stochastic neighbor embedding). Next, we'll look at a special type of unsupervised neural network called the autoencoder.

The Hidden Markov Model or HMM is all about learning sequences. A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of words. Credit scoring involves sequences of borrowing and repaying money, and we can use those sequences to predict whether or not you're going to default.

Are you Preparing for Interview in Machine Learning? Don't be stressed, Take our Machine Learning Based Mock Test and prepare yourself for the Interview. Here you will get Machine Learning based Multiple Choice Question for your Next Interview. What you will get in These Mock Test? Generally, you need to refer a variety of books and Websites in order to cover the ocean of topics in Machine Learning.

Welcome to the first course in Term 1 as part of the series "MBA in Artificial Intelligence Digital Marketing". This game-changing course in 2021 will cover artificial intelligence tools in content creation, curation, augmented reality, and digital marketing and will take you on a glimpse into the future. We will also look at influencer marketing tools, content trends and a bit of competitor analysis through the use of BuzzSumo. Why learn this amazing artificial intelligence course and how is this a differentiator for content creators? This course can change your life if you are a content expert.