Join us to learn to code in the Elm language to build real websites and apps with over 10 step by step examples. You'll also learn to build sophisticated and intelligent mobile apps. You'll discover how machine learning works in a mobile environment. Elm is a programming language that you can use to build web apps. Elm is user-friendly and a great place to learn to build web apps.

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).

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.

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.

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.

This course will be continually updated and we answer all questions. We will continue updating content based on both user demand and changes in machine learning and AI. If you have taken a previous bootcamp but still are struggling, this course will fill in the holes and have you applying Python on lots of different projects. This is the only fullstack course that teaches you everything from basic frontend HTML to Python 3, Machine learning, Tensor Flow, and Artificial Intelligence / Recurrent Neural Networks! This is a large course, but it is still easy!

In this course you will learn the various concepts of natural language processing by implementing them hands on in python programming language. This course is completely project based and from the start of the course the main objective would be to learn all the concepts required to finish the different projects. You will be building a text classifier which you will use to predict sentiments of tweets in real time and you will also be building an article summarizer which will fetch articles from websites and find the summary. Apart from these you will also be doing a lot of mini projects through out the course. So, at the end of the course you will have a deep understanding of NLP and how it is applied in real world.

Artificial Intelligence (AI) is the future! In the world of Big Data and Cloud Computing - Learn Sales Force Developer: Artificial Intelligence For Beginners step-by-step, complete hands-on Sales force developer training with respect to Einstein Artificial Intelligence. Are you a Sales force Developer or a Web Developer and want to gain intermediate and advanced skills and enjoy a fascinating high paying career? Or maybe you just want to learn additional tips and techniques taking to a whole new level? Welcome to Sales Force Developer: Artificial Intelligence For Beginners - A one of its kind course!

This will allow you to get the gist of what's going on with minimal time commitment. By this point, learners would understand their interest levels. Continue with content focused on applying relevant knowledge as fast as possible. If you've made it through the last section and are still hungry for more knowledge, move on to broadening your horizons. Read content focused on teaching the breadth of machine learning -- building an intuition for what the algorithms are trying to accomplish (whether visual or mathematically). By this point, you will already have AWS running instances, a mathematical foundation, and an overarching view of machine learning. This is your jumping-off point to determine what you want to do. You should be able to determine your next step based on your interest, whether it's entering Kaggle competitions; doing Fast.ai part two; diving deep into the mathematics with Pattern Recognition & Machine Learning by Christopher Bishop; giving Andrew Ng's newer Deeplearning.ai