If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Besides being known as the happiest country in the world, Finland is a technology leader, ahead of China and the US. Finland is making good on its tech legacy, as the University of Helsinki, the Finnish Centre for Artificial Intelligence FCAI, and the City of Helsinki are collaborating to launch a free webinar on the Ethics of AI, followed by a full Ethics of AI course. The ethics of AI is a wildly broad and complex topic, since AI's implications are broad and complex. No industry has gone untouched by AI. In other words, he predicts that AI could cause a billion people to lose their jobs within a year of that article -- nine months from now, as of writing.
Machine learning runs the world. It generates predictions for each individual customer, employee, voter, and suspect, and these predictions drive millions of business decisions more effectively, determining whom to call, mail, approve, test, diagnose, warn, investigate, incarcerate, set up on a date, or medicate. But, to make this work, you've got to bridge what is a prevalent gap between business leadership and technical know-how. Launching machine learning is as much a management endeavor as a technical one. Its success relies on a very particular business leadership practice.
We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.
Company Data-Driven Science has developed a 17 hours Machine Learning course that is focused on building thought-process and intuition – critical skills for any Data Scientist. This Udemy course is currently on Black Friday Sale and available for only INR 360 / USD 9.99. Here's what you will learn: Moving into Data Science is an amazing career choice. There's high demand for Data Scientists across the globe and people working in the field enjoy high salaries and rewarding careers. For instance, average annual salaries are around $125,000 in America and ₹14 lacs in India.
This is a complete software engineering course with Python 3. In this course, you will learn programming from A-Z. You will learn all the concepts. We will build many real-world and useful applications in this course. You will learn object-oriented programming (OOP), data visualization, file handling, APIs, RESTful APIs, graphical user interfaces GUI, crud operation, software development, and much more.
After a lot of turmoil that the year 2020 brought in terms of business disruption, challenges to ensure business continuity, remote working becoming the new norm, among others, many companies and institutes introduced and developed free courses for the data science and AI enthusiasts to make the most of the lockdown. From various ivy league institutions to major organisations across the globe, several courses were made free this year. As the year 2020 comes to an end, we list a few such courses in AI and data science that were made free and are still available for tech enthusiasts to avail. The courses are listed in no particular order. In March this year, as lockdown ensued, to uplift the learners and help the community in the critical time, Coursera decided to launch new, free resources, as well as sharing impressive course collections, community discussions, and expert interviews.
Online Courses Udemy - Data science techniques for professionals and students - learn the theory behind logistic regression and code in Python BESTSELLER Created by Lazy Programmer Inc English [Auto-generated], Portuguese [Auto-generated], 1 more Students also bought Data Science: Deep Learning in Python Natural Language Processing with Deep Learning in Python Advanced AI: Deep Reinforcement Learning in Python Deep Learning: Advanced NLP and RNNs Deep Learning A-Z: Hands-On Artificial Neural Networks Preview this course GET COUPON CODE Description This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python. This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.
If you're an aspiring or even established developer, choosing which programming language to learn next can be a daunting task. There are so many programming languages to choose from, and each one tends to be suited for a specific subspecialty of tech. But if you haven't already learned Python, you can call off the search. This incredibly powerful and popular programming language is used to build everything from apps to the latest artificial intelligence (AI) software and technologies. The Ultimate Python & Artificial Intelligence Certification Bundle will teach you everything you need to know for just $39.99--over 95% off its usual price for a limited time.
Computer Learning in Automated Manufacturing Processes (CLAMPS) demonstrates the integration of predictive machine learning to drive improvements and minimise variability within a composites manufacturing process. A collaborative project between the Centre for Modelling & Simulation (CFMS) and the National Composites Centre (NCC), highlights the digitalisation and automation steps necessary to ensure consistently high-quality parts, ultimately reducing costs. Together, CFMS and NCC have brought together a combination of traditional virtual manufacturing simulation and artificial intelligence technology to detect and control defect formation.