Goto

Collaborating Authors

 Education


Cloud data and AI services training roundup

#artificialintelligence

To help you stay up to date on online training opportunities, we're releasing a monthly list of the latest free data and artificial intelligence (AI) sessions in one convenient post. Whether on Windows, Linux, or Docker containers, you have the flexibility of leveraging SQL Server 2017's industry-leading performance and security wherever you like. Here's a rundown of recent and upcoming training sessions to help you learn more. Extended support for SQL Server 2008 and 2008 R2 is coming to an end on July 9, 2019, which means it's time to choose your path to modernization. Without support, security updates will no longer be available, and you may run the risk of non-compliance with industry regulations such as GDPR (General Data Protection Regulation).


Machine Learning with C Udemy

@machinelearnbot

ML has become a fundamental part of the 21st century; from Netflix recommendations to fraud detection, ML is ever- present in our daily lives. At its roots, ML effectively applies statistics and pattern recognition, we will use these ideas to help solve a range of modern-day problems. C is a very fast language to execute your code and is extensively used when your final "models" are being deployed. If you want to run a program, with a lot of array calculation then C should be your weapon of choice. This course will start off with a broad overview of ML and the varying methods associated with it.


LEARNING PATH: Statistics for Machine Learning Udemy

@machinelearnbot

Machine learning worries a lot of developers when it comes to analyzing complex statistical problems. Knowing that statistics helps you build strong machine learning models that optimizes a given problem statement. This Learning Path will teach you all it takes to perform complex statistical computations required for machine learning. So, if you are a developer with little or no background in statistics and want to implement machine learning in their systems, then go for this Learning Path. Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.


Easy Filmmaking: Artificial Intelligence in Films & Videos

@machinelearnbot

Want to make films and videos that really catch attention and praise? This online Easy Filmmaking Course will teach you how to make great films and videos using proven techniques and approaches. This course is designed to teach you the ins and outs of easy film and video making by showing you the art and craft of making films and videos by showing you how to plan, design and put them together. While there are plenty of courses about making films and videos, it's hard to find a course that gives you a step-by-step insight into making films easily that really punch through the noise. This is the course for you, taught by a professional filmmaker who has personally make more than 40 productions.


The Ultimate Unity Games & Python Artificial Intelligence

@machinelearnbot

In Part 1 - Glauco Pires from Mammoth Interactive will teach you how to build a game in Unity . Learn to code, make art and add sound to build a full 2D Double Dragoon game in Unity 2017. You will learn the fundamentals of designing, coding, and fine-tuning a game. You will design the game and its functionality in Unity and learn how to code in C#. Don't worry if you've never coded before!


Machine Learning and Artificial Intelligence with Python

@machinelearnbot

Hello everyone, this is Ritesh! In this series, I'm gonna teach you how to use Machine Learning to create a simple and powerful Image Classifier. For this purpose I'm gonna use Tensor Flow, which is a framework by Google for performing Machine Learning operations. Hope you guys like this series, don't forget to tell me if you really did!


Why Automation Might Not Be as Bad For Jobs as Predicted

#artificialintelligence

Fears automation will result in significant job losses may be overblown, according to new research from the OECD. While the research indicates as many as one in seven jobs could be lost to artificial intelligence (AI) automation, those numbers are lower than what had previously been predicted. In 2013, a paper by Oxford University academics Carl Frey and Michael Osborne, predicted that roughly 47 percent of jobs in the U.S. were at high risk of being automated. The paper, The Future of Employment: How Susceptible Are Jobs To Computerization, also showed wages and educational attainment had a strong negative relationship with an occupation's probability of computerization. In other words, the less a person earns and the less likely that person has received a higher education, the more likely their job will be computerized.


Advanced Statistics for Machine Learning Udemy

@machinelearnbot

Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This video will teach you all it takes to perform the complex statistical computations required for Machine Learning. You will gain information on statistics behind unsupervised learning, reinforcement learning, and more. You'll master real-world examples that discuss the statistical side of Machine Learning.


The Complete Unity and Artificial Intelligence Masterclass

@machinelearnbot

You will make a retro 2D Marlo game in Unity and code in Python for stock market prediction! Don't worry if you've never coded before. We start simple and add more to the game as the course goes on. You will make game art in Photoshop. You'll design and implement power-ups, enemies, game characters, and backgrounds.


Artificial Intelligence I: Basics and Games in Java

#artificialintelligence

This course is about the fundamental concepts of artificial intelligence. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detecting cancer for example. We may construct algorithms that can have a very very good guess about stock price movement in the market. In the first chapter we are going to talk about the basic graph algorithms.