THIS IS GONNA BE A OVER 40 HOUR OF CONTENT COURSE! This is Your Complete Guide to mastering statistical modelling, data visualization, machine learning and basic deep learning in R. BOOST YOUR CAREER TO THE NEXT LEVEL: This course covers ALL the aspects of practical data science, which makes this course The Only Data Science Training You Need. By the end of the course, you'll be able to store, filter, manage, and manipulate data in R to give yourself & your company a competitive edge. My name is MINERVA SINGH and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

If you want to learn how to start building professional, career-boosting mobile apps and use Machine Learning to take things to the next level, then this course is for you. The Complete iOS Machine Learning Masterclass is the only course that you need for machine learning on iOS. Machine Learning is a fast-growing field that is revolutionizing many industries with tech giants like Google and IBM taking the lead. In this course, you'll use the most cutting-edge iOS Machine Learning technology stacks to add a layer of intelligence and polish to your mobile apps. We're approaching a new era where only apps and games that are considered "smart" will survive.

Note: Machine Learning typically data analyst are some of the most expensive and coveted professionals around today.Data analysts enjoy one of the top-paying jobs, with an average salary of $140,000 according to Glassdoor .That's just the average! Machine Learning is very important in Data mining. Also,machine Learning is a growing field. Our course is designed to make it easy for everyone to master machine learning. This amazing Course will help you quickly master all the difficult concepts and will the learning will be a breeze.

Civilian surveillance in China has seen a boom in recent times, with facial recognition leading the charge in the technologies used to keep tabs on the population. Police are scanning travelers with facial recognition glasses, authorities are using the tech to monitor ethnic minorities -- now the Orwellian technology has a new target: kids. Three cameras have been installed above a blackboard at Hangzhou Number 11 High School in eastern China. The system identifies seven different facial expressions -- neutral, happy, sad, disappointed, angry, scared and surprised -- to determine whether children are focused on their lessons, and if they're not, the computer will feed this back to the teacher. So far the technology is in just one classroom, but will roll out across the school by the summer. What else can surveillance cameras do in classroom other than exam supervision?

The University of Arizona College of Humanities is exploring the intersection of technology and humanities, focusing on the vital role of human context and perspective in guiding digital innovations such as big data, artificial intelligence and robotics. Launching this week, the Dorrance Lecture Series brings together faculty, students and outside guests to examine the relationship between so-called disruptive technologies and human cultures. The first symposium, "Humanities Innovators in a Tech World," is Thursday and Friday in the Integrated Learning Center, Room 120, from 9 a.m. to 12:30 p.m. "As technological advances bring us closer to a digital future, the humanities become more important than ever in helping to understand what makes us human, especially as those same technological advances bring greater connectivity to all people across the globe," says Alain-Philippe Durand, dean of the College of Humanities. In the Fourth Industrial Revolution, the fusion of technologies is blurring the differences between the physical, digital and biological. Advances such as artificial intelligence, robotics, machine learning, genetic algorithms, collaborative commerce, additive manufacturing, spatial computing and genetic engineering will impact the future, in ways both predictable and unpredictable.

OpenCV is a native cross-platform C Library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for developing applications to process visual data such as photographs or videos. OpenCV has C /C, Python, and Java interfaces with support for Windows, Linux, Mac, iOS, and Android, and offers extensive libraries with over 500 functions. This video demonstrates how to develop a series of intermediate-to-advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this video teach the viewer how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization.

Companies everywhere are facing the challenge of doing their work faster and cheaper, but those who operate globally face additional barriers that make it difficult to drive metrics. Some companies are turning to AI, or artificial intelligence, to handle some of the predictable and repeatable behaviors. If you thought that it was just the giant technology companies using AI to innovate, think again. A recent survey by Spiceworks found that 40% of large businesses will implement one or more intelligent assistants or AI chat bots by 2019. Companies in every industry, of every size, are investing in AI to improve their processes.

Last month, the music streaming arm of telecom company Jio, Reliance Jio Music, and music and audio streaming service Saavn merged to jointly strengthen their foothold in the digital music market, which is expected to cross $460 million (Rs.3,100 crore) in revenue by 2020. The two music streaming companies will be integrated into a combined $1 billion entity that leverages the media streaming expertise of Saavn with the 4G internet connectivity of telecom company Jio. Soon after the announcement of this merger, Reliance Industries Limited (RIL), also agreed to pick up a 72.69% stake in the AI-based online education startup Embibe, with a proposal to invest $180 million over the next three years. This foray of India's petrochemical giant Reliance in the startup industry was the culmination of a plan put into motion in 2016, when RIL's owner, the richest Indian on Forbes Billionaires 2018 list, Mukesh Ambani, addressed its 42nd annual general meeting in Mumbai. During the address he stated that Reliance Industries was setting up a $743 million (Rs.5,000 crore) fund, called the Jio Digital India Startup Fund, to invest in digital businesses.

Scikit-learn has evolved as a robust library for machine learning applications in Python with support for a wide range of supervised and unsupervised learning algorithms. TensorFlow is quickly becoming the technology of choice for deep learning, because of its ease to build powerful and sophisticated neural networks. To perform traditional machine learning tasks in supervised learning and unsupervised learning using cutting-edge techniques from deep learning, you need to be familiar with Python and basic machine learning concepts. This comprehensive 2-in-1 course teaches you how to perform your day-to-day machine learning tasks with Scikit-learn and TensorFlow. It's a perfect blend of concepts and practical examples which makes it easy to understand and implement.

It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or make business forecasting related decisions. Learning forecasting methods and models is indispensable for business or financial analysts in areas such as sales and financial forecasting, inventory optimization, demand and operations planning, and cash flow management. It is also essential for academic careers in data science, applied statistics, operations research, economics, econometrics and quantitative finance. And it is necessary for any business forecasting related decision. But as learning curve can become steep as complexity grows, this course helps by leading you through step by step real world practical examples for greater effectiveness.