In the increasingly competitive and changing world, efficient education system that drives the human development in the country is the key to a nation's progress. The education providers-schools and higher learning institutions must focus on student success and design instruction that considers the individual differences of the learners. In recent years, learning analytics has emerged as a promising area of research that extracts useful information from educational databases to understand students' progress and performance. The term Learning Analytics is defined as the measurement, collection, analysis and reporting of information about learners and their contexts for the purposes of understanding and optimizing learning. As the amount of data collected from the teaching-learning process increases, potential benefits of learning analytics can be far reaching to all stakeholders in education including students, teachers, leaders and policy makers.

Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people's lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI. Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do.

Learn AI theory and follow hands-on exercises with our free courses from the Intel AI Academy for software developers, data scientists, and students. These lessons cover AI topics and explore tools and optimized libraries that take advantage of Intel processors in personal computers and server workstations.

This is the age of data! As soon as you open your Facebook account, you are inundated with huge amount of data. You get to see posts from your friends, which could be in the format of text, pictures and videos. Now, just imagine if you could tap into this data and use it gain insights, that would be just wonderful, wouldn't it? And this is exactly where data science comes in.

Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated datasets and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which were previously addressed with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles of deep learning from both an algorithmic and computational perspectives.

Learn how to use TensorFlow 2.0 in this full course from Tech with Tim. This course will demonstrate how to create neural networks with Python and TensorFlow 2.0. You can watch the full video on the freeCodeCamp.org

Below is the 15 best machine learning course to accelerate your ML journey this year. The holy grail of machine learning online course, Machine Learning by Stanford is considered as the best machine learning course by many. This course is prepared and maintained by Andrew Ng, pioneer machine learning scientist who've led ML research projects for both Google and Chinese giant Baidu. Although the course requires a paid subscription, you can ask for financial aid if you're a student. This online machine learning course from DataCamp is the best machine learning course with a primary emphasis on statistics – the de facto requirement for effective data science projects.

Three months go by quick. In that time, I, your humble Content Manager, have had the chance to work with some incredibly bright people. It was intimidating at first: coming into work every morning and seeing whiteboards covered in arcane equations and incomprehensible diagrams. I knew what we did in principle when I joined Acerta--we're using AI to help automakers get products to market faster and with fewer defects--but I certainly didn't understand what that actually involves. Over the past three months, I've had crash courses in automotive manufacturing, cloud migration, data quality, fleet maintenance, machine learning, software internships, and statistical process control, among other things.

Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science. At over 35 hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. The course is a taught by the lead instructor at the App Brewery, London's leading in-person programming bootcamp. In the course, you'll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix.

The effectiveness of company management reflects the quality of the management processes and is expressed through the actions of management. Accordingly, if the company's managers have poor management performance indicators, they have to undergo leadership training to improve their skills and improve the efficiency of their company as a whole. In addition, for the successful management of the company, its leaders should understand the features of the markets in which the company is operating or is going to operate. Remember that no one was born a good leader. Good leadership skills are the result of training and practice.