The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects.

There is no doubt that Machine Learning is a tough subject, and in-depth knowledge, in particular, requires a lot of Mathematics and complex terminology and is very tough to master. How do you learn it better if the subject matter is that tough? Choose a course that can explain this complex topic in simple words. We are actually blessed that we have many excellent instructors like Andrew Ng, Jeremey Howard, and Kirill Eremenko on Udemy, who are not just experts in deep learning but also excellent instructors and teachers. I firmly believe that every programmer should learn about Cloud Computing and Artificial Intelligence, as these two will drive the world in the coming years.

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You'll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You'll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more. Our labs give you hands-on experience with these machine learning and data science concepts. You will develop concrete machine learning skills as well as create a final project demonstrating your proficiency.

Data Visualization is new Analytics and, Augmented Analytics is new Data Visualization! In this course you will work on machine learning models for predictive analytics and advanced data flow features through hands on training with Oracle Analytics. This course is designed to provide you with many hands-on activities to learn building modern data visualization projects. This is new business intelligence! Are you a business analyst curious about what Oracle Analytics can do?

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This is the first of four courses in the Certified Artificial Intelligence Practitioner (CAIP) professional certification. This course is meant as an entry point into the world of AI/ML. You'll learn about the business problems that AI/ML can solve, as well as the specific AI/ML technologies that can solve them.

Student success models might be prone to develop weak spots, i.e., examples hard to accurately classify due to insufficient representation during model creation. This weakness is one of the main factors undermining users' trust, since model predictions could for instance lead an instructor to not intervene on a student in need. In this paper, we unveil the need of detecting and characterizing unknown unknowns in student success prediction in order to better understand when models may fail. Unknown unknowns include the students for which the model is highly confident in its predictions, but is actually wrong. Therefore, we cannot solely rely on the model's confidence when evaluating the predictions quality. We first introduce a framework for the identification and characterization of unknown unknowns. We then assess its informativeness on log data collected from flipped courses and online courses using quantitative analyses and interviews with instructors. Our results show that unknown unknowns are a critical issue in this domain and that our framework can be applied to support their detection. The source code is available at https://github.com/epfl-ml4ed/unknown-unknowns.

Are you ready to take the PCEP – Certified Entry-Level Python Programmer exam? The first two exams are in the form of practice tests and consists of 200 questions that may appear during the Certified Entry-Level Python Programmer exam. Where necessary, explanations are added to the questions. This course allows you to confirm your proficiency and give you the confidence you need to earn the PCEP – Certified Entry-Level Python Programmer certification. PCEP – Certified Entry-Level Python Programmer certification shows that the individual is familiar with universal computer programming concepts like data types, containers, functions, conditions, loops, as well as Python programming language syntax, semantics, and the runtime environment.

Are you looking for Best Data Science Degree Online? This Online Data Science Course list will help you to become a top Data Scientist. Data science or data-driven science is one of today's fastest-growing fields. Do you want to become a Data Scientist in 2022? The list of the Data Science Degrees will give you a clear idea from data science definition to expert levels. If you don't know how to get a data scientist certification then this data science certificate program online will help you to get an online data science certificate. You will be able to get Microsoft data science certification or even a Harvard data science certificate with this excellent collection of online courses. Also, this Data Science training will give you an idea about data science, python, data scientist, big data, analytics, machine learning, deep learning, and Artificial Intelligence (AI) which are the most booming topics now. You can be a data science master in a short period. All big companies, publishers, advertisers, and other industries are now highly dependent on data science or machine learning. So, it is high time to learn some skills in data science, for example, get the highly demanded Data Science online certifications. How does it work at present, and why data scientists' careers and data science jobs are in top positions? If you like a trendy career, you have that opportunity right now and get hired by the big industries. At the same time, online entrepreneurs and business personnel also need to update themselves with fundamental machine learning skills to compete with the fast-moving industry. Below are a few best Data Science online courses that might assist you to jump-start your knowledge of the data science sector. If you want to learn machine learning, then this is the perfect course for you. Two professional data scientists designed this course so that you can learn the theory and algorithms behind machine learning. If you just learn the coding libraries, then you will not know what is going on in the back end. You will not be able to perform well in the industries. This is why this is a very good course to get started in the machine learning world. The course also includes study materials about coding libraries. The two data scientist professionals walk you through the course step by step. Even if you are quite familiar with data science, this is going to help you learn a lot more new things. The course has been structured in a very friendly way.

This course can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. In this course, you'll be learning about Computer Vision as a field of study and research. First we'll be exploring several Computer Vision tasks and suggested approaches, from the classic Computer Vision perspective.

Artificial intelligence is touching every aspect of how we engage with information (and much more) these days. Today, a startup building out a business based on one particular application of that -- how to apply AI to knowledge management in the workplace -- is announcing some funding as it finds some decent traction for its approach. Sana Labs -- which provides an AI-based platform to help people manage information at work, and subsequently to use that data as a resource for e-learning within the organization -- has closed a round of $34 million after seeing ARR grow seven-fold in the last year. Menlo Ventures, the U.S. VC firm, is leading the round for Stockholm-based Sana, with EQT Ventures and a whopping 25 angels and founder/operator individuals also participating. This is a Series B that values Sana at $180 million post-money.