The critical importance of tech skills across industries sends a clear signal: In order to meet the expectations of future administrators and employers, elementary to high school students will need to learn expertise unavailable to their parents' generation. Today's leading innovation technology is machine learning, and to address the need for this vital skill set, the latest offering from the longtime partnership of Microsoft and code.org is a new course in artificial intelligence (AI) and its societal and ethical implications designed for students in elementary and high school. AI's relevance cannot be understated, as it is the very basis for self-driving cars, but it also powers devices we've already become accustomed to, such as Amazon Alexa, interactive programming, telemed appointments, and online learning. Those are some very big responsibilities to be tackled by Gen Z. As code.org points out,despite the great benefits to society, the ethical impact can't be ignored: "How does algorithmic bias impact social justice or deep fakes impact democracy? How does society cope with rapid job automation? By learning how to consider the ethical issues that AI raises, these future computer scientists will be better able to envision the appropriate safeguards that help to maximize the benefits of AI technologies and reduce their risks."

Online Courses Udemy - Learn Incredible Website Design, Development Tools and Platforms using Artificial Intelligence (AI) Technology Created by Srinidhi Ranganathan English [Auto-generated] Students also bought XML and XSD: a complete W3C-content based course ( 10 hours) The Complete Web Developer Masterclass: Beginner To Advanced HTML & CSS - Certification Course for Beginners Start to finish - Creating a complete game using Unity3D ML for Business Managers: Build Regression model in R Studio Preview this course GET COUPON CODE Description What is this Website Design course all about? Website design is the art and science of building the look, feel, and how a website functions in a nutshell. This course is having a clear, concise, and easy to use website design technologies and will ultimately lead to better user experience for your custom audience or clients. There are many aspects of successful website design like HTML, colors, layouts, text size, graphics, and so much more. But, this course is a huge differentiator in the design field as it uses artificial intelligence-based website design state-of-the-art technologies which is covered nowhere in the world.

This is the second edition of my weekly update on deep learning. Every Thursday, I’ll release a new batch of research papers, blog posts, Github repos, etc. that I liked over the past week. Links are…

Deep Learning Prerequisites: Logistic Regression in Python, Data science, machine learning, and artificial intelligence in Python for students and professionals Created by Lazy Programmer Inc. English [Auto], Portuguese [Auto]Preview this Course - GET COUPON CODE This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python. This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.

Data Science is a big deal these days! So it stands to reason that you might want to learn it because of its amazing potential and popularity in the technical market. But you don't need to spend thousands of dollars on getting a university degree to learn Data Science. It's even predicted that "armchair data scientists" who don't have any formal qualifications in Data Science but the skills to analyze data will become even more popular than "traditional data scientists". So you can easily learn the basics of Data Science from online courses and then build upon those basics by practice.

Artificial Intelligence A-Z™: Learn How To Build An AI Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications! BESTSELLER 4.3 (12,120 ratings) Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, SuperDataScience Support PREVIEW THIS COURSE - GET COUPON CODE  Free Coupon Discount Udemy Online Courses

Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs Become a Wizard of all the latest Computer Vision tools that exist out there. Detect anything and create powerful apps.

The demand for Data Scientists is immense. In this course, you'll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself. The #1 goal of this course is clear: give you all the skills you need to be a Data Scientist who could start the job tomorrow... within 6 weeks. With so much ground to cover, we've stripped out the fluff and geared the lessons to focus 100% on preparing you as a Data Scientist. You'll pick up all the core concepts that veteran Data Scientists understand intimately.

Deployment of Machine Learning Models in Production, Deploy ML Model in with BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2 Created by Laxmi Kant KGP TalkiePreview this course Udemy GET COUPON CODE Complete End to End NLP Application How to work with BERT in Google Colab How to use BERT for Text Classification Deploy Production Ready ML Model Fine Tune and Deploy ML Model with Flask Deploy ML Model in Production at AWS Deploy ML Model at Ubuntu and Windows Server Optimize your NLP Code You will learn how to develop and deploy FastText model on AWS Learn Multi-Label and Multi-Class classification in NLP Are you ready to kickstart your Advanced NLP course? Are you ready to deploy your machine learning models in production at AWS? You will learn each and every steps on how to build and deploy your ML model on a robust and secure server at AWS. Prior knowledge of python and Data Science is assumed. If you are AN absolute beginner in Data Science, please do not take this course. This course is made for medium or advanced level of Data Scientist.

A neural network trained via slow-mo movies will artificially generate additional frames for your footage. Even 14 fps films can easily be boosted to 60 fps. A neural network specifically trained using our own dataset will provide you with an approximate artificial colorization of each frame. While not historically accurate, the colorization appears natural. Each frame can be upscaled using specifically-targeted data that perfectly aligns with your footage. Our neural network will "redraw" the missing data and increase the frame resolution 4x or more. Our team of engineers will be glad to help you resolve various digital tasks with our machine learning magic.