Our business audience is buyer supplier focused and comprised of Enterprise decision makers / CxOs, allied to AI Cloud platform providers, Tier 1 / 2 deployment & service providers, AI start ups / innovators, investors, educators, government and AI ecosystem community builders. AI Expo Africa 2020 will have 4 main online speaking tracks, expo hall, poster wall & networking zone. You will learn about real Enterprise case studies and the application of AI and Data Science in Business TODAY, available technology and cloud platforms, deployment challenges, ethical considerations allied to the vibrant innovation and start up ecosystem driving the industry in Africa. "AI Expo Africa was nothing less then inspirational. "What an amazing few days spent with like minded individuals, organizations, startups, enthusiasts and those just plainly curious!" Izak De Beer, SAP "Talking to the smaller vendors, particularly the ones in the Innovation Cafe was the highlight for me" Gordon Inggs, City of Cape Town "I learnt so much at this year's AI Expo Africa and cannot wait to return next year" Khumoetsile Khumalo, Absa Bank "It was great the see a diverse field of innovators across business, academia and social enterprises take on our continents challenges" Francis Mumbi, Stanbic Bank My brain has been opened to a whole new exciting world for me" John Morison, Polyoak Packaging "Great event, had a fantastic panel discussion regarding youth and woman" Brigitte Binneman, Technology Innovation Agency, South Africa We are helping lay the foundations for an AI Powered Future for Africa, fostering B2B trade and investment around 6 key themes with a strong business development and growth narrative.

Artificial intelligence is one of the fastest growing fields of computer science today and the demand for excellent AI Engineers is increasing day in and day out. This course will help you stay competitive in the AI job market by teaching you how to create a Deep Learning End-to-End product on your own. Most courses focus on the basics of Deep Learning and teach you about the very basics of different models. In this course, however, you will learn how to write a whole End-to-End pipeline, from data preprocessing across choosing the right hyper-parameters, to showing your users results in a browser. The case that we will tackle in this course is an engine for Image to Image Search.

Introduction to AI, Machine Learning and Python basics, Learn to understand Artificial Intelligence and Machine Learning algorithms, and learn the basics of Python Programming Created by Timur Kazantsev English [Auto-generated] PREVIEW THIS COURSE GET COUPON CODE 100% Off Udemy Coupon .

BESTSELLER, 4.7 (143 ratings), Created by Lazy Programmer Team, Lazy Programmer Inc. English [Auto-generated] It's been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version. Tensorflow is Google's library for deep learning and artificial intelligence. Deep Learning has been responsible for some amazing achievements recently, such as: Generating beautiful, photo-realistic images of people and things that never existed (GANs) Beating world champions in the strategy game Go, and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning) Self-driving cars (Computer Vision) Speech recognition (e.g. Siri) and machine translation (Natural Language Processing) Even creating videos of people doing and saying things they never did (DeepFakes - a potentially nefarious application of deep learning) Tensorflow is the world's most popular library for deep learning, and it's built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning.

Edge Computing runs processes locally on the device itself, instead of running them in the cloud. This reduced computing time allows data to be processed much faster, removes the security risk of transferring the data to a cloud-based server, and reduces the cost of data transfer, as well as the risks of bandwidth outages disrupting performance. Computer vision and AI at the edge are becoming instrumental in powering everything from factory assembly lines and retail inventory management, to hospital urgent care medical imaging equipment like X-ray and CAT scans. Drones, security cameras, robots, facial recognition on cell phones, self-driving vehicles, and more all utilize this technology as well. According to IEEE Innovation at Work, "By 2020, approximately 20 billion devices will likely be connected via the Internet of Things (IoT), creating incredible amounts of data every minute. The time it takes to move data to the cloud, perform service on it and then move it back to devices is far too long to meet the increasing needs of the IoT. Unlike cloud computing, which relies on a single data center, edge computing works with a more distributed network, eliminating the round-trip journey to the cloud and offering real-time responsiveness and local authority. It keeps the heaviest traffic and processing closest to the end-user application and devices – smartphones, tablets, home security systems, and more – that generate and consume data. This dramatically reduces latency and leads to real-time, automated decision-making."

PyTorch is an open source Machine Learning library based on the Torch library, used for applications such as computer vision and natural language processing. PyTorch is an open source Machine Learning library based on the Torch library, used for applications such as computer vision and natural language processing. This tutorial introduces the fundamental concepts of PyTorch through self-contained examples. We will use a fully-connected ReLU network as our running example. The network will have a single hidden layer, and will be trained with gradient descent to fit random data by minimizing the Euclidean distance between the network output and the true output.

I bet you never considered creating a game with Python. There are awesome libraries that will help you develop games. So let's help your kids, your partner, or your colleagues get through this crisis with a fun game! Pygame is a cross-platform set of Python modules designed for writing video games. It includes computer graphics and sound libraries.

Udemy Coupon - Artificial Intelligence Introduction, Introduction to AI, ML, Data Science, BI and Analytics for Non-Technicals, Leaders, Managers, freshers and Beginners HOT & NEW Created by Sudhanshu Saxena English [Auto-generated] Students also bought Artificial Intelligence A-Z: Learn How To Build An AI Artificial Intelligence: Reinforcement Learning in Python Artificial Intelligence & Machine Learning for Business Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs Artificial Intelligence 2018: Build the Most Powerful AI Preview this Course GET COUPON CODE Description Section 1-L1: To learn the strategy of various skills of current and future world like Artificial Intelligence, Machine learning, Data Science, we are starting from understanding data. To expertise in Artificial Intelligence needs to be understood the basics of data. In this INTRODUCTION section, we will talk about What is the data? How does data divide into multiple parts? How do and where the data generate from?

"As a doctor, it is my duty to evaluate the situation with as much data as I can gather and as much expertise as I have and as much experience as I have to determine whether or not the wish of the patient is medically justified" This quote would be so great and remarquable today in the time of big data and digital health revolution if it would not have be written by Dr Jack Kevorkian, better known as "Dr. But in my opinion he was more than right regarding the data he would be able to gather alongside his expertise and experience but it should have be used to cure and save lives, not to do euthanasia. Today too many people and quite often doctors themselves are feeding a competition or even a fight between Big Data and especially Artificial Intelligence and Healthcare Practitioners. What should end up into a major and seamless collaboration between today's fast moving health technologies including AI in particular and doctors, is unfortunately starting with such unnecessary egocentric time consuming and time wasting discussions and fights. In Beijing on 30th of June 2018, an artificial intelligence (AI) system scored 2:0 against elite human physicians in two rounds of competitions in diagnosing brain tumors and predicting hematoma expansion in Beijing. The BioMind AI system, developed by the Artificial Intelligence Research Centre for Neurological Disorders at the Beijing Tiantan Hospital and a research team from the Capital Medical University, made correct diagnoses in 87 percent of 225 cases in about 15 minutes, while a team of 15 senior doctors only achieved 66-percent accuracy in 30 minutes. The AI also gave correct predictions in 83 percent of brain hematoma expansion cases in 3 minutes, outperforming the 63-percent accuracy in 20 minutes among a group of physicians from renowned hospitals across the country. The outcomes for human physicians were quite normal and even better than the average accuracy in ordinary hospitals, said Gao Peiyi, head of the radiology department at Tiantan Hospital, a leading institution on neurology and neurosurgery. To train the AI, developers fed it with tens of thousands of images of nervous system-related diseases that the Tiantan Hospital has archived over the past 10 years, making it capable of diagnosing common neurological diseases such as meningioma and glioma with an accuracy rate of over 90 percent, comparable to that of a senior doctor. All the cases were real and contributed by the hospital, but never used as training material for the AI, according to the organizer. Wang Yongjun, executive vice president of the Tiantan Hospital, said that he personally did not care very much about who won, because the contest was never intended to pit humans against technology but to help doctors learn and improve through interactions with technology. "I hope through this competition, doctors can experience the power of artificial intelligence.

This course is designed to give you a solid foundation of the fundamentals of the Spring Framework. It covers how to get started as well as advanced configuration techniques with Spring using the most recent versions. A course covering the fundamentals of using Spring Security for securing Java applications built with Spring MVC. Spring Boot and Angular make a great team! See how all the pieces work together by building a full app, step by step.