This was a busy year for robotics! The 10 most read Robohub articles in 2017 show an increased interest in machine learning, and a thirst to learn how robots work and can be programmed. Highlights also include the Robohub Podcast, which just celebrated its 250th episode (that's 10 years of bi-weekly interviews in robotics), the Robot Launch Startup Competition, and our yearly list of 25 women in robotics you need to know about. Finally, we couldn't skip over some of the remarkable events of 2017, including a swarm of drones flying over Metallica, and Sophia "gaining citizenship".

The field of study that focuses on the interactions between human language and computers is called Natural Language Processing, or NLP for short. It sits at the intersection of computer science, artificial intelligence, and computational linguistics (Wikipedia). "Nat ur al Lan guage Pro cessing is a field that cov ers com puter un der stand ing and ma nip u la tion of hu man lan guage, and it's ripe with pos sib il it ies for news gath er ing," Anthony Pesce said in Natural Language Processing in the kitchen. "You usu ally hear about it in the con text of ana lyz ing large pools of legis la tion or other doc u ment sets, at tempt ing to dis cov er pat terns or root out cor rup tion." NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way.

About this course: This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. This is the fifth and final course of the Deep Learning Specialization.

Get accustom to Predictive Analytics as career option with practical knowledge on some of the techniques that are currently in demand, such as Hypothesis Testing, Linear Regression, Multiple Regression, Logistic Regression, Correlations, Chi-Square Test etc.

The course "A complete journey to web analytics using R tool" starts with a basic understanding of web analytics moving to the tool used for the same which is The R Studio.It covers all the basic commands used in the R studio starting from variables and vectors and ranging to importing data in R. Further the course details about Google analytics covering topics like authentication to google API,validation and extracting data. Moving ahead it covers the most important concepts of website data analysis which involves website visitor analysis, Tracking of marketing and measuring return on investment. The closing topics include visualization of information and map plotting.

There's an increasing number of data being produced every day. This has led to the demand for skilled professionals who can analyze these data and make decisions. R is one of the popular tools which is widely used by data analysts for performing data analysis on real-world data. This Learning Path is the complete learning process to play with data. You will start with the most basic importing techniques for downloading compressed data from the Web.

About this course: Welcome to Course 3 - Models & Frameworks to Support Sales Planning – In this course, you'll go through a conceptual approach to selling models and frameworks. As a primary learning outcome of this course, we emphasize the improvement in the analytical competencies and skills to develop sales planning and management. And the learning process goes through the application of the models and frameworks that contribute to supporting these processes. This course is aimed at professionals who seek improvement in conceptual support to the sales planning process, especially with an emphasis on applying selling models and frameworks methodology. At this point of the Strategic Sales Management specialization, you have an excellent understanding of the integration of sales planning to the strategy of the company.

About this course: In this course, you will learn how to develop your Problem Solving and Creativity Skills to help you achieve success in your university studies. After completing this course, you will be able to: 1. Recognise the importance and function of problem solving and creative thought within academic study and the role of critical thought in creative ideation.

Tim Hoolihan currently works at DialogTech, a marketing analytics company focused on conversations. He is the senior director of data science there. Prior to that, he was CTO at Level Seven, a regional consulting company in the US Midwest. He is the organizer of the Cleveland R User Group.In his job, he uses deep neural networks to help automate of lot of conversation classification problems. In addition, he works on some side-projects researching other areas of artificial intelligence and machine learning.

This is pretty evident from the new technologies that have been emerging day-by-day such as Face-ID which has revolutionized the way we secure information in our mobile phones. Self-driving cars had been a myth, but now they are very much a reality, the adoption of which can be seen by governments throughout the world. Data science is a field wherein ground-breaking research is happening at a much faster pace, in comparison to any other emergent technologies ever before. The time between contemplating a research idea and actually implementing it has come down significantly. . This is also fueled by the immense amount of resources freely available to everyone – which essentially enables even a normal person to contribute to research in their own way.