If you've ever wanted Jetsons to be real, well we aren't that far off from a future like that. If you've ever chatted with automated robots, then you've definitely interacted with machine learning. From self-driving cars to AI bots, machine learning is slowly spreading it's reach and making our devices smarter. Artificial intelligence is the future of computers, where your devices will be able to decide what is right for you. Machine learning is the core for having a futuristic reality where robot maids and robodogs exist.

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).

Do you want to step into the ever-growing field of data science? Do you wish to equip yourself with one of the most widely used language for data science? Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. Data is on the rise and it's the need of the hour to process it and make sense out it. Analysts and statisticians need to get this job done. It's an art to tactfully and efficiently process data.

This year, the world witnessed significant technology advancements that will have long term implications for our economy and the way we work. Artificial intelligence dominated the list of top courses this year, taking three of the spots in our top 10 list, including the Machine Learning and Deep Learning courses taught by our co-founder Andrew Ng and a Machine Learning course from the University of Toronto. Blockchain has also burst onto the scene, putting Princeton's Bitcoin and Cryptocurrency course at number five on the list.

About this course: The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn't produce the big data, the data is gigantic. Just one of the four experiments generates thousands gigabytes per second. The intensity of data flow is only going to be increased over the time. So the data processing techniques have to be quite sophisticated and unique.

One of the most common problems learners have when jumping into Machine Learning and Data Science is the steep learning curve, and when you add to this the complexity of learning programming languages like Python or R you can get demotivated and lose interest fast. In this course you will learn the basic concepts of machine learning using a visual tool. Where you can just drag drop machine learning algorithms and all other functionality hiding the ugliness of code, making it much more easier to grasp the fundamental concepts. I will "hand-hold" you as we build from scratch 2 different types of supervised machine learning algorithms used in the real world, across several industries and I will explain where and how they are used. The course will teach you those fundamental concepts of machine learning by implementing practical exercises which are based on live examples.

The teaching of this course is done making the use of the "inverted classroom" model. This in simple terms means that instead of being introduced to the related material in a large lecture hall that limits itself to one-way communication, one can first watch the lecture that has been recorded by Geoffrey Hinton as a set of about 3 short videos at home before the commencement of the class, and then in class, takes place a much more dynamic discussion about it. If one is already registered for the class, you will be able to view all these videos on the Coursera website. Further details of how to do this will be given in the first lecture period.

In Data visualization with R course you will learn about Data visualization in a very systematic and easy way. R is a very powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level graphics, and machine learning. R gives aspiring analysts and data scientists the ability to represent complex sets of data in an impressive way. By the end of the course, you will have enough knowledge and skill full of different visualization techniques, with the capacity to apply these abilities to real-world data sets.

Artificial intelligence (AI) is all the rage these days. Recently, the American tech major Nvidia brought together the best minds in research, academia and industry across Hyderabad, Chennai, Mumbai, Pune, Delhi and Bengaluru. The six-city developer roadshow saw over 5,000 attendees who experienced some of the best demonstrations of AI and deep learning tools, designed to meet the challenges big data presents. "The artificial intelligence revolution is here and developers who understand AI and its application in commercial applications are in demand today," said Vishal Dhupar, managing director, Nvidia – South Asia. "The first edition of Developer Connect 2017 demonstrated the passion and desire for learning within our community of highly qualified developers and it is our responsibility at Nvidia to equip our Indian tech talent to take a leading role in the AI revolution and we stay committed to this task," he added.

Get your team access to Udemy's top 2,000 courses anytime, anywhere. Cancer Genomics Neural Networks vs k-NN Classifiers: Machine Learning for Python Hackers is a crash course in Data Science and Cancer Genomics for anyone interested in cancer research. The course starts out with loading up a cancer dataset to split train and test. This course is unique in Data Science in that it uses the mglearn library for better visualization and is dedicated to providing details as such so the student can follow along with no ambiguity.