Education across the world has seen a tremendous transformation in the last two years during the Covid-19 pandemic. Online education has become a mainstream mode, and technology-driven solutions and products have had a deep impact on areas of learning, teaching, assessment, and training. Now, online or digital technologies are pivotal in conventional education at every level – from early education to research studies. The role of technology in education is growing along with the rapid advancement in digital technologies and the rise of the digital-savvy population. The market and the Covid-19 pandemic have accelerated changes in customer (learner) behaviour.

The bulk of the work is replacing a Linux dependency for a Windows port (DCNv2) and getting the right versions of Python (3.8), CUDA (11.1), and PyTorch (1.8) in our system. Throughout, we use a mix of conda and pip commands to install all the necessary dependencies. Disclaimer: after porting the repository to Windows, I have only used it for inference (webcam and video). I do not claim this procedure will fully work for training on custom datasets or computing dataset metrics.

In Python, object-oriented Programming (OOPs) is a programming paradigm that uses objects and classes in programming. My name is Loek van den Ouweland, a senior software engineer with 25 years of experience. I am the creator of Wunderlist for windows, Microsoft To-do and Mahjong for Windows and I love to teach programming! The feedback I get from my students for this OOP training is that the course is well structured with lot's of practical examples and it convinced them that programming at any level, is not magic, but a learnable skill! After this course you have learned how classes and objects help you to organise your code.

Artificial intelligence has pioneered new technologies in the education for classroom engagements and in school systems on a broader dimension with huge potential to promote education. Haugeland defines AI as the exciting new effort to make computers think… machines with minds, in the full and literal sense. This article focuses on engineering education in a knowledge society with effectiveness in view. It examines the technologies in current use, applications, and future possibilities. It concludes that effectiveness is a continuously improvable process as we iterate towards a desirable future. Today's education model largely focuses on one instructor providing information to several learners at the same time.

The uploaded CSV file is stored in IBM Cloud Object Storage service as a dataset. The dataset is then used to build and deploy a machine learning model. This course is intended for anyone with basic to intermediate experience in machine learning who wants to improve skills in regression but most importantly learn how to deploy machine learning models on IBM Cloud whether they be regressors or classifiers. By the end of this course you will know how to do that and have a little refresher on data visualization and data analysis. Do not worry if you pay attention in one of the videos I show you how to solve and prevent many problems when registering the model as well as many other things.

Text mining and natural language processing in R is a course which is ideally suited for my work. Do You Want to Gain an Edge by Gleaning Novel Insights from Social Media? Do You Want to Harness the Power of Unstructured Text and Social Media to Predict Trends? Over the past decade there has been an explosion in social media sites and now sites like Facebook and Twitter are used for everything from sharing information to distributing news. Mining unstructured text data and social media is the latest frontier of machine learning and data science.

This program is a series of five courses designed to strengthen the foundations of machine learning, data science, and statistics. An ideal data science course for students who want to learn big data analysis. You can also use stochastic modeling and statistical inference to get a good understanding of data-driven forecasting. In this course, you can dig deeper into concepts such as statistics, data analysis methods, probabilities, and machine learning algorithms.

This post covers all steps required to start serving Machine Learning models as web services with TensorFlow Serving, a flexible and high-performance serving system¹. In this example, we will setup a virtual environment in which we will generate synthetic data for a regression problem, train multiple models and finally deploy them as web services, accessing predictions from REST APIs. The only prerequisite for this tutorial is a working machine with Python² and Docker Engine³ installed. We will finally use curl⁴ to write API calls and consume the Machine Learning models through their prediction endpoints. A virtual environment is a self-consistent Python environment that can be created to manage and segregate projects: it provides isolation so that the dependencies do not affect other packages on the same operating system.

AI and Deep Learning are transforming industries and one of the most intriguing parts of this AI revolution is in Computer Vision! But what exactly is Computer Vision and why is it so exciting? Well, what if Computers could understand what they're seeing through cameras or in images? The applications for such technology are endless from medical imaging, military, self-driving cars, security monitoring, analysis, safety, farming, industry, and manufacturing! Job demand for Computer Vision workers are skyrocketing and it's common that experts in the field are making $200,000 USD salaries. However, getting started in this field isn't easy.

This comprehensive machine learning course includes over75 HD videolectureswith over 11 hours of video content. Are you ready to master Machine Learning techniques and Kick-off your career as a Data Scientist?! You came to the right place! Machine Learning skill is one of the top skills to acquire in 2019 with an average salary of over $114,000 in the United States according to PayScale! The total number of ML jobs over the past two years has grown around 600 percent and expected to grow even more by 2020.