About this course: Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.

Kevin Kelly has stated that AI is going to make even bigger changes to the economy than the internet. If you missed out on the internet dot com bubble of the late 90s and early 2000s, now is your chance. AI is coming, and it's coming fast. And AI is also one of the most difficult things to learn. Once you get past a Wikipedia article the next step is a 1000 page textbook that will take a year to read plus learning a bunch of new fields of math and programming.

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Its flexible syntax enables developers to write short scripts while at the same time being able to use object-oriented concepts to develop very large projects. This course follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary.

Effective visualization can help you get better insights from your data, and help you make better and more informed business decisions. This video starts by showing you how to set up matplotlib and other Python libraries that are required for most parts of the course, before moving on to discuss various widely used diagrams and charts such as Gantt Charts. As you will go through the course, you will get to know about various 3D diagrams and animations. As maps are irreplaceable to display geo-spatial data, this course will show you how to build them. In the last section, we'll take you on a thorough walkthrough of incorporating matplotlib into various environments and how to create Gantt charts using Python.

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. In this course, you'll start by learning how to acquire data from the web in its already "clean" format, such as in a .csv You'll then learn to transform this data so it's in its most useful format for analysis. After that, you'll dive into data aggregation and grouping, where you'll learn to group similar data for easier analysis purposes. From there, you'll be shown different methods of web scraping using Python.

About this course: This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about why data cleaning and munging is an important part of data science and how it occupies more than 80% of a data scientist's daily work. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code.

BI-RADS DATA SCIENCE FOR SWIFT/PYTHON HACKERS, is a course designed by an iOS Developer for iOS and Python Developers. You will learn iPython enough to implement algorithms used in Data Science with little effort. As a Swift Programmer you will find the syntax needed to flow through iPython in Jupyter a breeze!!! After grasping a thorough knowledge of supervised learning in the first two sections, you will dive into xCode and write a Logistic Regression Binary Based application. In your final project, you will build BIRADS, a Breast Imaging-Reporting and Data System that takes the output data from a Neural Network and assigns a BI-RADS Category given input from the following features...

Natural Language Processing (NLP) is a hot topic into the Machine Learning field. This course is focused in practical approach with many examples and developing functional applications. This course starts explaining you, how to get the basic tools for coding and also making a review of the main machine learning concepts and algorithms. After that this course offers you a complete explanation of the main tools in NLP such as: Text Data Assemble, Text Data Preprocessing, Text Data Visualization, Model Building and finally developing NLP applications. In this course you will find a concise review of the theory with graphical explanations and for coding it uses Python language and NLTK library.

If you're looking at this course, you are already interested in Python, and I'm not going to sell you on it. You already know that this popular language is great for solving a huge variety of tasks from REST api development, system scripting, numerical analysis, manipulating data, data analysis to machine learning and AI. But do you want to learn idiomatic Python? Do you want to understand why certain things work the way they do in Python? Do you want to learn best practices in Python, and common pitfalls Python developers can fall into?

This game-changing course will cover artificial intelligence tools in content creation, curation, augmented reality and digital marketing and will take you on a glimpse into the future. We will also look at influencer marketing tools, content trends and a bit of competitor analysis through the use of BuzzSumo. Why learn this course and how is this a differentiator for content creators? This course can change your life if you are a content expert. Because, I will provide you with a hands-on experience on creating tons and tons of articles for your blog for inbound marketing using an Artificial Intelligence content tool and you don't even have to write the content yourself - ever again.