XGBoost is a library for developing very fast and accurate gradient boosting models. It is a library at the center of many winning solutions in Kaggle data science competitions. In this tutorial, you will discover how to install the XGBoost library for Python on macOS. How to Install XGBoost for Python on macOS Photo by auntjojo, some rights reserved. Note: I have used this procedure for years on a range of different macOS versions and it has not changed.

I've written a project-based tutorial to introduce other developers to the exciting world of robotics software. By the end of it, you'll have created a fairly complete SLAM system that uses cameras and IMUs for localizing a robot. The project is built using some of the most common technologies, including ROS and OpenCV and requires some proficiency in C programming and Linux. I've assumed no previous knowledge in computer vision or robotics, though. If you want to have a look before starting to read, the source code is available on GitHub.

We've talked about, speculated and often seen different applications for Artificial Intelligence - But what about one piece of technology that will not only gather relevant information, better customer service and could even differentiate your business from the crowd? ChatBots are here, and they came change and shape-shift how we've been conducting online business. Fortunately technology has advanced enough to make this a valuable tool something accessible that almost anybody can learn how to implement. If you want to learn one of the most attractive, customizable and cutting edge pieces of technology available, then this course is just for you!

The field of robotics is growing at an incredible rate, and demand for software engineers with the right skills far exceeds the current supply. This makes this an ideal time to enter this field, and this groundbreaking program represents a unique opportunity to develop these in-demand skills. Expert instructors, personalized project reviews, and exclusive hiring opportunities are hallmarks of this program, and in collaboration with the NVIDIA Deep Learning Institute--one of the most exciting and innovative companies in the world--we have built an unrivalled curriculum that offers the most cutting-edge learning experience currently available. You will graduate from this program having completed several hands-on robotics projects in simulation that will serve as portfolio pieces demonstrating the skills you've acquired. This will enable you to pursue a rewarding career in the robotics field.

It is online only book developed by Chester Ismay and Albert Y. Kim and covers the basics of using R to analyze data and create data stories using R and statistics. Check the samples of "data stories" from one of the classes here from one of the authors of the book.

Artificial intelligence is years, even decades, from replicating functions of the human mind, but it's still getting serious work done today. And its influence will only expand. The irony of all that promise: Human minds are way behind. Relatively few have a baseline understanding about how AI and deep learning truly work. Techniques like machine learning, which underpin many of today's AI tools, aren't easy to grasp.

The Indraprastha Institute of Information Technology-Delhi (IIIT-D) is set to start a new M.Tech programme in artificial intelligence at the Infosys Centre for Artificial Intelligence, starting July 2018. The Institute will advertise for the programme in March-April. The programme, touted to be the first of its kind in the city, will prepare students to work in the industry as well as pursue further research in the subject. The fee structure will be the same as for other courses. The Infosys Centre for Artificial Intelligence was set up in 2016 in partnership with Infosys, which gave a grant of Rs 24 crore.

The real power and value proposition of Apache Spark is its speed and platform to execute data processing and data science tasks. Let's see how easy it is! 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. Spark is one of the most widely-used large-scale data processing engines and runs extremely fast. It is a framework that has tools that are equally useful for application developers as well as data scientists.

This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning).

The MOOC Replication Framework (MORF) is a novel software system for feature extraction, model training/testing, and evaluation of predictive dropout models in Massive Open Online Courses (MOOCs). MORF makes large-scale replication of complex machine-learned models tractable and accessible for researchers, and enables public research on privacy-protected data. It does so by focusing on the high-level operations of an extract-train-test-evaluate workflow, and enables researchers to encapsulate their implementations in portable, fully reproducible software containers which are executed on data with a known schema. MORF's workflow allows researchers to use data in analysis without providing them access to the underlying data directly, preserving privacy and data security. During execution, containers are sandboxed for security and data leakage and parallelized for efficiency, allowing researchers to create and test new models rapidly, on large-scale multi-institutional datasets that were previously inaccessible to most researchers. MORF is provided both as a Python API (the MORF Software), for institutions to use on their own MOOC data) or in a platform-as-a-service (PaaS) model with a web API and a high-performance computing environment (the MORF Platform).