The programme is designed for technology professionals who wish to advance their career as a specialist in the field of Artificial Intelligence and Machine Learning. Master Artificial Intelligence - The Next Digital Frontier PG Program - Artificial Intelligence & Machine Learning The Post Graduate Program in Artificial Intelligence and Machine Learning has been designed in collaboration with McCombs School of Business at The University of Texas at Austin, and delivered by Great Learning. It uniquely combines a comprehensive curriculum, interactive mentored learning, hands-on training, and career guidance from industry practitioners to enable successful learning and career outcomes. Taught by renowned faculty from UT Austin, experienced professionals and global academicians; the curriculum covers the most popular and widely-used AI and Machine Learning techniques and their applications to areas such as Deep Learning, Computer Vision, Natural Language Processing, and Neural Networks. All learning is project-based and hands-on to ensure that practical, industry-relevant skills are developed. On successful completion, candidates are awarded a certificate from The University of Texas at Austin.

Learn to build and deploy chatbots for Facebook Messenger, WhatsApp, Slack and Skype using Wit & DialogFlow! Welcome to the most comprehensive and complete chatbot developer course. Learn concepts, tools and techniques that you will need to build fully functional chatbots for business and enterprise. In this course, we will go from zero to pro as we build multiple chatbots using a variety of techniques and platforms including Chatfuel, Wit and DialogFlow for a multitude of channels such as Facebook Messenger, WhatsApp, Slack and Skype. We will explore chatbot platforms that do not require you to write code, and all the way to a code intensive chatbot that can be built for specialised scenarios.

Learn, build and implement the most powerful AI model at home. Two months ago we discovered that a very new kind of AI was invented. The kind of AI which is based on a genius idea and that you can build from scratch and without the need for any framework. We checked that out, we built it, and... the results are absolutely insane! This game-changing AI called Augmented Random Search, ARS for short.

If you're here, you already know the truth: Machine Learning is the future of everything. In the coming years, there won't be a single industry in the world untouched by Machine Learning. A transformative force, you can either choose to understand it now, or lose out on a wave of incredible change. You probably already use apps many times each day that rely upon Machine Learning techniques. So why stay in the dark any longer?

All training courses take place 9:00am - 5:00pm, Sunday, March 15-Monday, March 16. In order to maintain a high level of hands-on learning and instructor interaction, each training course is limited in size. Participants should plan to attend both days of this 2-day training course. To attend training courses, you must register for a Platinum or Training pass; does not include access to tutorials on Monday.

This seminar series is the first formal gathering of academic and industrial data scientists across the Greater Toronto Area (GTA) to discuss advanced topics in machine learning and its goal is to build a stronger machine learning community in Toronto. The talks will be given by international and local faculty and industry professionals. The seminar series is intended for university faculty and graduate students in machine learning across computer science, ECE, statistics, mathematics, linguistics, and medicine, as well as PhD-level data scientists doing interesting applied research in the GTA. A large emphasis will be placed on the social aspects of the gathering. The Toronto machine learning community will be stronger when we know each other and know what problems people are working on.

Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! Are you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

In the age of Alexa, YouTube recommendations, and Spotify playlists, artificial intelligence has become a way of life, improving marketing and advertising, e-commerce, and more. But what are the ethical implications of technology that collects and learns personal information? How should society navigate these issues and shape the future? A new curriculum designed for middle school students aims to help them understand just that at an early age, as they grow up surrounded by the technology. The open-source educational material, designed by an MIT team and piloted at this year's Massachusetts STEM Week this past fall, teaches students how AI systems are designed, how they can be used to influence the public -- and also how to use them to be successful in jobs of the future.

Time to set goals for expanding your programming skills while perfecting what you already know. This year, why not make a resolution to learn a new computer language? A new language under your belt--or new tools and services-- doesn't just give you more choices when deciding what projects to work on. It also helps you to better understand the strengths and weaknesses of the computer language(s) you already know as you figure out why the new language does things the way it does. Throughout this month, we will continue to help you with setting your learning goals.

Python Programming Basics and Python Object Oriented Programming Guide for Python Programmers & Python Coders in a simple and easy way with Examples, quizzes, Resources & Python Projects to master Python from zero to hero. First Python Project (CCG) to master what you will learn. Second Python Project X-O Game Classes to master what you will learn. How to use python IDLE. How to use Jupyter notebook(I python).