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Python for Beginners: Anyone Can Code

#artificialintelligence

Make your computer talk, draw graphics, and create an arcade game. Created by Matt Bohn Students also bought Unsupervised Machine Learning Hidden Markov Models in Python Data Science: Supervised Machine Learning in Python Python and Django Full Stack Web Developer Bootcamp The Python Bible Everything You Need to Program in Python Complete Python Developer in 2020: Zero to Mastery Preview this course GET COUPON CODE Description Learn to Code with Simple and Fun Hands On Videos Do you want to learn to code? Maybe you are interested in programming as a career or a hobbyist who wants to create code for your own projects? Or, maybe you're a parent with a student who would love to write code. If so then this is the course you're looking for.


Forbes Insights: Chart Your Organization's Progress With AI

#artificialintelligence

Achieving business results from artificial intelligence (AI) comes with a significant learning curve for any organization. It requires investments in data infrastructure and human talent; it also demands new organizational structures and cultural change. But the potential payoffs are transformative: 63% of companies that have adopted AI say it has boosted revenue in areas where it is used. How far along is your organization on the AI learning curve? Answer a few questions below--culled from a recent IBM and Forbes Insights survey of more than 200 technology leaders--and see how you stack up.


Machine Learning in the Elastic Stack

#artificialintelligence

Machine Learning helps to automate analysis and surface insights that are important for the day-to-day operation of certain business functions. In this talk, Elvis Saravia, Education Architect at Elastic, will focus on introducing a series of machine learning jobs, via the Machine Learning UI, that are easy to compose and can help classify new information (in the form of document classification) and help reveal an abnormal behavior in the data (in the form of anomaly detection).


Principled Technologies releases first true cloud performance benchmarks

ZDNet

We all use the cloud, but measuring cloud performance is difficult. I've written benchmarks, and I benchmarked the major public clouds for PC Magazine using Primate Labs' Geekbench 3 and other programs, which, frankly, weren't ideal for testing clouds. But now Principled Technologies and the BenchmarkXPRT Development Community have released the CloudXPRT Preview, a free benchmark, which seeks to accurately measure Infrastructure as a Service (IaaS) cloud performance. The beta CloudXPRT program includes web microservices and data analytics workloads. Testers can use metrics from both workloads to compare IaaS stack -- both hardware and software -- performance.


Low power 28nm FPGAs deliver on-device AI processing

#artificialintelligence

The new stack includes support for the CrossLink-NX family of FPGAs for low power smart vision applications and features customized convolutional neural network (CNN) IP, a flexible accelerator IP that simplifies implementation of common CNN networks and is optimized to further leverage the parallel processing capabilities of FPGAs. For applications like smart vision that require higher Edge AI performance, CrossLink-NX FPGAs running sensAI software deliver twice the performance at half the power when compared to prior releases of the solutions stack. Updates to the NN compiler software tool let developers easily compile a trained NN model and download it to a CrossLink-NX FPGA. When running on a CrossLink-NX FPGA, the sensAI solutions stack offers up to 2.5 Mb of distributed memory and block RAM and additional DSP resources for efficient on-chip implementation of AI workloads to reduce the need for cloud-based analytics. The devices are manufactured in a 28 nm FD-SOI process that delivers a 75 percent reduction in power in comparison to similar competing FPGAs.


Machine Learning Tools Used By The Kaggle Experts

#artificialintelligence

However, for a beginner, to know about the tool stack of those who win Kaggle competitions consistently is of great help. One can later go ahead and pick the tool of their choice. In the next section, we look at the top tools, frameworks, cloud services, libraries used by the Kaggle masters and Grand Masters, which they revealed to us in our exclusive interviews. That said, we have to admit that all these top Kagglers are of the opinion that one should not fall in love with tools, and it is all right as long any tools get the job done right! When it comes to favourite Python libraries, Thakur is in praise for Scikit-learn and how significant this library is in providing many necessary components to put a model into production.


Machine Learning Tools Used By The Kaggle Experts

#artificialintelligence

However, for a beginner, to know about the tool stack of those who win Kaggle competitions consistently is of great help. One can later go ahead and pick the tool of their choice. In the next section, we look at the top tools, frameworks, cloud services, libraries used by the Kaggle masters and Grand Masters, which they revealed to us in our exclusive interviews. That said, we have to admit that all these top Kagglers are of the opinion that one should not fall in love with tools, and it is all right as long any tools get the job done right! When it comes to favourite Python libraries, Thakur is in praise for Scikit-learn and how significant this library is in providing many necessary components to put a model into production.


Kentucky Allowing Driver's License, ID Renewals Remotely

U.S. News

Beshear reported Monday that there were at least 10,046 COVID-19 cases in Kentucky. There were 131 new positive cases on Sunday and 214 new cases on Monday, Public Health Commissioner Dr. Steven Stack said. No deaths were reported Sunday, but there were eight deaths Monday. The total number of deaths in the state from the coronavirus is 439.


An Essential Component In Any Insurtech Solution Tech-stack - Suyati Technologies

#artificialintelligence

The insurance industry is way past its time when timely response and a balanced price-quality relationship were enough to define customer experience. The advent of Artificial Intelligence, Machine Learning, and Advanced Analytics have disrupted the insurance industry and have reshaped the way it operates. Insurtech firms these days are using their AI and ML capabilities to drive high-quality customer experiences, increased loyalty, generate new revenue while simultaneously reducing the costs. The vision of the insurance firms today and for the future is where customers and customer experience comes first. The combination of AI and ML models built on top of the Customer Data Platform leads to improved customer experience through hyper-personalization.


Deep Learning Stochastic Gradient Descent

#artificialintelligence

This video will help you understand Stochastic Gradient Descent in Deep Neural Network in a very simplified manner. Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Get 10% flat off on the above complete course with certification - http://bit.ly/39trxCf (APPLY COUPON - YTDEG) Get 15% flat off on the these AI/ML courses with certification - (APPLY COUPON - YTEDU) 1.Learn Machine Learning By Building Projects - http://bit.ly/2MxMSSl 2.The Complete Web Development Course - Build 15 Projects - http://bit.ly/32Ah9oW 3.The Full Stack Web Development - http://bit.ly/2MZDBRV 4.Projects In Laravel: Learn Laravel Building 10 Projects - http://bit.ly/2MAiHtH 5.Mathematical Foundation For Machine Learning and AI - http://bit.ly/2N23Eb1 Get 10% flat off on the Below full E-Degree with certification - (APPLY COPOUN - YTDEG) Advance Artificial Intelligence & Machine Learning E-Degree - http://bit.ly/38mbiXm