Artificial intelligence is slowly making its way into every industry, such as transportation and healthcare. Those with the ability to sift through volumes of data to identify insights are best equipped to succeed in an AI-driven job market. If you're interested in a career in AI, then you need to add Python to your skillset. Python is an extremely popular programming language, and it happens to be one of the easiest to learn, especially with The Ultimate Python & Artificial Intelligence Certification Bundle. These expert-taught online courses are normally $199 apiece, but ZDNet readers can grab the set for 97% off, dropping the price to $39.99.
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While normal education suffered a standstill in 2020, there were a lot of online courses and programs that were initiated by some of the most prestigious institutions as well as big tech giants so that the process of learning and skill development doesn't suffer. As the trend has been for a few years now, some of the most interesting initiatives were seen in the field of data science. In this article, we have listed some of the prominent data science education programs and initiatives in 2020. Microsoft, in collaboration with Netflix, has launched three new learning modules on beginners concepts in data science, along with machine learning and artificial intelligence. The design of these courses is inspired by the Netflix original film -- 'Over The Moon,' where a young girl Fei Fei, who builds a rocket to the moon, embarks on a mission to prove the existence of Moon Goddess.
TL;DR: The Machine Learning for Beginners Overview Bundle is on sale for £14.80 as of Dec. 20, saving you 96% on list price. Learning this technology is far from a walk in the park, but it's worth it. Ready to give it a shot? Check out this Machine Learning for Beginners Overview Bundle, a three-part pack of classes designed to walk beginners through the basics of machine learning without getting too in the weeds. The content spans seven hours total and requires no prior knowledge.
Convolutional Neural Networks This course is part of the Deep Learning Specialization Foundations of Convolutional Neural Networks. Learn to implement the foundational layers of CNNs (pooling, convolutions) and to stack them properly in a deep ... About this Course 1,001,748 recent views This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. This is the fourth course of the Deep Learning Specialization.
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences. Learn how to perform supervised and reinforcement learning, with images and temporal sequences. This course includes lectures, lecture notes, exercises, labs, and homework problems.
MIT has posted online its introductory course on deep learning, which covers applications to computer vision, natural language processing, biology, and more. Students "will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow." Experience in Python is helpful but not necessary. The first lecture appears above. The rest of the course materials (videos & slides) can be found here.
Build Python Web Applications from Beginner to Expert using Python and Flask What you'll learn Complete Python Web Course: Build … Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! Launch your business by learning to build your own eCommerce app step-by-step. The only course you need to become a full-stack web developer. This course is for PHP developers who want to use the built-in predefined variables. What you'll learn Predefined Variables in … Learn how to apply common security mitigation techniques to a web application built with Angular, Express.js
" We will shift from a mobile first to an AI first world." Artificial intelligence (AI) is one of the most important technologies of the 21st century and part of the 4th industrial revolution. AI will transform every industry similar to electricity over 100 years ago and have a huge impact on how humans live and work in the future. Moving into Data Science is an amazing career choice. There's high demand for Data Scientists across the globe and people working in the field enjoy high salaries and rewarding careers.
Although learning R is not the main focus of this course, but we will implicitly learn R by diving deep into statistical concepts. The Crucial advantage of this course is not learning algorithms and machine learning but rather developing our critical thinking and understanding what the outcomes of these models represent. The course is designed to take you to step by step in a journey of R and statistics, It is packed with templates, Exercises, quizzes, and resources that will help you understand the core R language and statistical concepts that you need for Data Science and business analytics.