In this tutorial, you will learn how to automatically detect natural disasters (earthquakes, floods, wildfires, cyclones/hurricanes) with up to 95% accuracy using Keras, Computer Vision, and Deep Learning. I remember the first time I ever experienced a natural disaster -- I was just a kid in kindergarten, no more than 6-7 years old. We were outside for recess, playing on the jungle gym, running around like the wild animals that young children are. Rain was in the forecast. My mother had given me a coat to wear outside, but I was hot and unconformable -- the humidity made the cotton/polyester blend stick to my skin.

How to run your Keras models in a C Tensorflow application! So you've built an awesome machine learning model in Keras and now you want to run it natively thru Tensorflow. This tutorial will show you how.

"A Breakthrough in machine learning would be worth ten Microsofts" – Bill Gates Yes, due to many obvious reasons, Bill Gates is right and we will prove it in this blog. Though the term, machine learning was tossed by Arthur Samuel in 1959 while working at the IBM, the actual serviceability of it started popping up after 2010. So, Dave Waters compares the advancement of machine learning with the baby – "A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning." Recently, machine learning market has witnessed exceptional growth and it is estimated to reach $21 billion by 2024.

By reading this book you will learn how to build a machine learning pipeline for a real-life projects, whatever stopped you before from mastering machine learning with python you can easily overcome it with this book, because of easy step-by-step, and example-oriented approach that will help you apply the most straightforward and effective tools to both demonstrative and real-world problems and data sets.

Learning new skills to enhance your abilities to do a task effectively can be a hectic schedule especially if you are an employee. It's hard to chase coaching or learning centers after spending 8-10 hours in the office per day. And when it comes to becoming technology-efficient specifically in the field of data science, you need to have the best qualification, handy experiences to get better job opportunities in this high in-demand profession. To ease out people's hectic schedules without compromising with the quality of the education, online platforms like Coursera, Udemy, eDX and many more have a collection of data science certification and courses. Adding a touch of extra bonanza, these courses are free of cost.

WHAT YOU WILL LEARN Use PyCharm and run Python files and programs on the interface Understand and use machine learning and neural networks with core concepts and examples Learn to use the Keras API and Syntax Explore the CIFAR-10 image dataset The Deep Learning Masterclass: Make a Keras Image Classifier Welcome to this epic masterclass on Keras (and so much more) with our #1 data scientist and app developer Nimish Narang, creator of over 20 Mammoth Interactive courses and a top-seller on Eduonix This course was funded by a wildly successful Kickstarter Anyone can take this course. If you already have experience using PyCharm and running Python files and programs on the interface, you can simply skip ahead to whatever section best suits your needs. Or, you can follow the progression of this meticulously curated course especially designed to take any absolute beginner off the street and make them a data modeler. This course is divided into days, but of course you can learn at your own pace. In Day 2 we teach you all the fundamentals of the Python programming language.

Canadian immigration officials deny travel visas to a large number of AI researchers and research students scheduled to attend the NeurIPS and Black in AI workshop, event organizers said. Among the people who have been denied entry is Tẹjúmádé Àfọ njá, co-organizer of the NeurIPS Machine Learning workshop for the developing world. NeurIP Information Processing Systems (NeurIPs) is the world's largest annual international AI conference, according to the AI Index 2018 report. The conference is scheduled to be held from December 8 to 14 in Vancouver, Canada. On Tuesday, Black in AI co-founder and Google AI researcher Timnit Gebru said that 15 of the 44 attendees who planned to join the workshop on December 9 were denied entry.

HTML to create websites CSS and Bootstrap to style your websites JavaScript - one of the most in demand coding languages in the market for web development jQuery - a simplified way of applying Javascript Python, an extremely valuable, versatile and powerful coding language Django - the python framework for creating dynamic websites that can even integrate machine learning and AI Create dynamic websites using the Model-View-Controller software design pattern Data science - the ability to handle, clean, visualise and analyse big data. Some of the biggest salaries and investments go into Data Scientists (NumPy, Pandas, Sklearn, Matplotlib, Seaborn) Full training in entry mathematics and statistics with a heavy emphasis on machine learning How to develop machine learning from scratch - training algorithms using big data that can then be used in production for making predictions Deep learning / AI - learn to create your own AI solutions, such as image classifiers, AI capable of creating art, and much more Create a range of cutting edge neural network architectures Document your code at a UK industry standard Use AWS tools such as EC2 to host your websites Integrate web server tools such as Nginx and Gunicorn Master essential developer tools such as GIT, Jupyter notebook, Google Colab, GPUs, Putty, Browser Developer Tools Gain experience in digital security - the DOs and DONTs of developing and scaling online websites and services Harness the power of Linux Create Application Programming Interfaces (APIs) in Python Gain the ability to access machines (e.g. The combination of being able to create full-stack websites AND machine learning and AI models is very rare - something referred to as a unAIcorn. This is exactly what you will be able to do by the end of this course. Why you need this course Whether you're looking to get into a high paying job in tech, aspiring to build a portfolio so that you can land remote contracts and work from the beach, or you're looking to grow your own tech start-up, this course will be essential to set you up with the skills and knowledge to develop you into a unAIcorn.

Good day, The biggest AI bootcamp in Nigeria is here! Will you be part of the best of the best who will make it to the all-expense paid residential Artificial Intelligence Bootcamp?... This was a mail I received on September 24 from Data Science Nigeria. And below is a snippet of what I got on Data Science Nigeria's website today. I started my programming journey back in September, 2018 with the most highly rated course on Udemy courtesy of my mentor, Fakorede Abiola.

Artificial intelligence is improving all the time, making it more reliable and more attractive as a business solution. In particular, businesses in the travel industry are taking advantage of AI in order to perform a variety of administrative and customer service tasks. Here, you will learn the uses and benefits of artificial intelligence, and explain how it is changing the way travel companies operate. The concept of artificial intelligence, or AI, is often discussed, but can be slightly more difficult to define. Essentially, it refers to computers or machines performing tasks that would normally require human intelligence to carry out.