Mastering Presto: Hands-On Learning Learn Presto - distributed SQL Query Engine for Big Data! Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto was designed and written from the ground up for interactive analytics and approaches the speed of commercial data warehouses while scaling to the size of organisations like Facebook. In the first part of the course I will talk about Presto's theory including Presto's architecture and components - coordinator, worker, connector, query execution model, etc. Additionally, I will explain to you how Kafka, Cassandra, Hive, PostgreSQL and Redshift work before I mention the specifics to their connectors.

PrestoDB: The Ultimate PrestoDB Course In this course, you'll learn and understand PrestoDB - Distributed SQL Query Engine for Big Data. Welcome to this course: PrestoDB: The Ultimate PrestoDB Course. Presto is an open-source software project to develop a database query engine using the standard Structured Query Language (SQL). It is a distributed system that runs on a cluster of machines. A full installation includes a coordinator and multiple workers.

In this Webinar Series leading innovators from Startups, solution providers and insurance business lines share their vision for how data and analytics will shape the future of insurance. This includes the on product and business models, customer engagement, distribution, underwriting and claims. Thought leaders and innovators share their vision and examples of the emerging data sources and data, analytic, AI & Machine Learning models and capabilities and how those will shape the future of insurance within and across business lines. Thought leaders and innovators discuss how the use of data and analytics is enabling the new insurance business models and shifting the insurance paradigm to value added personalized services that help customers better achieve life and business objectives. Thought leaders and innovators discuss the data driven future of customer engagement and distribution and how it will change insurance.

It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language. The Fall 2016 iteration of this course is taught by Eric Grimson, John Guttag, and Ana Bell. The course is taught using only Python as the implementation programming language.

Using Deep Learning DC-GAN to add featured effect on anything. After my final project submission and earning a Certificate of Accomplishment in the course I just want to share with you what I did. May be this could help someone well understand and use DCGAN. For this project I chose to create an application to wear eyeglasses or hats to people without glasses or hats, using DCGAN (Deep Convolutional Generative Adversarial Networks) and hat or/and eyeglass vectors through the VGG model network we used during the course. DC-GAN uses AutoEncoder (AE) and GAN (Generative Adversarial Networks) to generate a featured output according to the input you fit in it.

We all know that AI is already in place in our daily lives. It enables the processing of very large data sets, learns from daily life, helps us to both create and identify "deepfakes" and promises to replace millions of jobs in the coming few years. Of course, there are prototype autonomous cars -- even self-driving buses operating on some university campuses. In the sphere of learning, artificial intelligence drives adaptive learning models today that can personalize the learning experience. This is not a trivial advancement.

Created by Data-Driven Science Preview this Udemy Course - GET COUPON CODE " We will shift from a mobile first to an AI first world." AI will transform every industry similar to electricity over 100 years ago and have a huge impact on how humans live and work in the future. 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.

Hello folks, If you are a beginner Python developer and looking for the best courses to learn Artificial Intelligence with Python then you have come to the right place. Earlier, I have shared the best data science courses and best machine learning courses and In this article, I will share the best Artificial Intelligence courses for Python developers to learn AI basics as well as some hands-on courses to practice AI with the Python library. Artificial Intelligence is one of the growing fields in technology and many developers are trying to learn Artificial Intelligence to take their career next level. I first come across AI when DeepMind beat Garry Kasparov, one of the finest players of Chess. It was way back in the 1990s, and AI has come a long way since then.

Description This Course Cover Topics such as Python Basic Concepts, Python Advance Concepts, Numpy Library, Scipy Library, Pandas Library, Matplotlib Library, Seaborn Library, Plotlypy Library, Introduction to Data Science and steps to start Project in Data Science, Case Studies of Data Science and Machine Learning Algorithms such as Linear, Logistic, SVM, NLP This is best course for any one who wants to start career in data science.

He also launched the IT Department's placement drive on the occasion. Addressing the participants, Vice-Chancellor, Prof. Mehraj-ud-Din Mir, said the "Digitization and internet technologies have already become an integral part of human lives including academics even before the Covid-19 outbreak and the pandemic has further established the fact that internet and associated technologies have a major stake and role in the future." He asked the Departments of IT, Media Studies and Law to join hands and provide solutions to the issues confronted by the masses, through technological intervention. Prof. Mehraj ud Din Mir encouraged the students to take part in training and workshops that will help them to develop employable skills that are in demand. Regarding the placement drive, he said, "The placement cell constituted for the purpose will help our students to launch their careers in the direction they intend to."