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Data Science & Deep Learning for Business 20 Case Studies

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Welcome to the course on Data Science & Deep Learning for Business 20 Case Studies! This course teaches you how Data Science & Deep Learning can be used to solve real-world business problems and how you can apply these techniques to 20 real-world case studies. Traditional Businesses are hiring Data Scientists in droves, and knowledge of how to apply these techniques in solving their problems will prove to be one of the most valuable skills in the next decade! "I'm only half way through this course, but i have to say WOW. It's so far, a lot better than my Business Analytics MSc I took at UCL. The content is explained better, it's broken down so simply. Some of the Statistical Theory and ML theory lessons are perhaps the best on the internet! "It is pretty different in format, from others.


Complete Deep Learning In R With Keras & Others

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This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level! My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate.


10 Best AI Courses: Beginner to Advanced

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Are you looking for the Best Certification Courses for Artificial Intelligence?. If yes, then your search will end after reading this article. In this article, I will discuss the 10 Best Certification Courses for Artificial Intelligence. So, give your few minutes to this article and find out the Best AI Certification Course for you. Artificial Intelligence is changing our lives.


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You're looking for a complete Machine Learning and Deep Learning course that can help you launch a flourishing career in the field of Data Science, Machine Learning, Python, R or Deep Learning, right? You've found the right Machine Learning course! Check out the table of contents below to see what all Machine Learning and Deep Learning models you are going to learn. How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.


AI For Everyone

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AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.


Building a Hand-written Digit Recognition Web App with Tensorflow

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Long ago, I built a hand-written digit recognition web app using Flask and TensorFlow. It was my first ML project as a beginner which didn't end up dying in a notebook, so I think it's worth sharing. This is how it's gonna look: In this tutorial, we will build our digit recognition model using TensorFlow and the MNIST dataset, which contains 70,000 images of hand-written digits 0 to 9, convert it into a TFLite model, and then build the web app. We'll be using Google Colab throughout this guide, because it's the easiest way to get started. We'll use the Keras Datasets API to load our MNIST images, because it makes it extremely easy to load the data.


Set up Azure Development Environment to Train Models

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This tutorial provides a complete guide on how to bring your code to Azure cluster. This is suitable specially for advanced projects such as semantic segmentation and other deep learning projects. On this page, you see the content of the complete tutorial. This helps giving an overall picture of what is needed for your project to run and it also helps you know at which stage you are. You can skip the section that you are already familiar with.


Top artificial Intelligence companies in Canada

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The Canada Pavilion will be prepared at the '5th International Artificial Intelligence Exhibition (AI EXPO KOREA 2022)' and communicate with domestic companies and institutions through innovative artificial intelligence technology. Under the supervision of the Trade Commissioner Service of the Canadian Embassy in Korea, the'AI Expo Korea 2022 Canada Pavilion' will be operated with a delegation of Canadian AI companies to promote the Canadian artificial intelligence and information and communication technology (ICT) industry. The embassy said, "We plan to host a B2B event between domestic companies and Canadian AI companies, and we plan to create a forum for cooperation opportunities such as introducing Canadian companies and arranging meetings for domestic companies that want to meet with Canadian companies. Let's summarize the solutions of each company that can be seen at the'Canada National Pavilion' of AI Expo Korea 2022 and what each company wants to inform through this ...


Deep Learning & Neural Network : Master Study Plan

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In a nutshell, we (humans) perform a wide range of tasks effortlessly, without even thinking about them. We recognize objects in images and speech in audio, and we understand words and sentences in text. All of these problems, however, were considered unsolvable until a decade ago by Artificial Intelligence, the discipline in Computer Science that strives to equip computers with human-like abilities. The subject of this domain covers neural networks and deep learning, a technology that provided solutions to all the problems cited above (and many others). The learning path we have to design for this technology must be practical, where both theory and code are learned simultaneously while using textbooks and Jupyter Notebooks. For solving several AI problems, we need to learn how to leverage PyTorch, one of the most popular Deep Learning frameworks in academics and industry.


Deep Learning: Convolutional Neural Networks in Python

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The Convolutional Neural Network (CNN) has been used to obtain state-of-the-art results in computer vision tasks such as object detection, image segmentation, and generating photo-realistic images of people and things that don't exist in the real world! This course will teach you the fundamentals of convolution and why it's useful for deep learning and even NLP (natural language processing). You will learn about modern techniques such as data augmentation and batch normalization, and build modern architectures such as VGG yourself. All of the materials required for this course can be downloaded and installed for FREE. We will do most of our work in Numpy, Matplotlib, and Tensorflow.