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.
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.
Amazon announced Friday that it will acquire Zoox, a self-driving startup founded in 2014 that has raised nearly $1 billion in funding and which aims to develop autonomous driving technology, including vehicles, for the purposes of providing a full-stack solution for ride-hailing. Zoox will continue to exist as a standalone business, according to Amazon's announcement, with current CEO Aicha Evans continuing in her role, as well as CTO and co-founder Jesse Levinson. Their overall company mission will also remain the same, the release notes. The Financial Time reports that the deal is worth $1.2 billion. The Wall Street Journal had reported at the end of May that Amazon was looking at Zoox as a potential acquisition target, and that the deal had reached the advanced stages.
An AI Platform is a collection of open source products, cognitive technologies and proprietary capabilities that allow building, deploying and operationalizing analytical workflows and intelligent solutions. The objective of this report is to demystify AI Platforms and share case studies on AI Platforms offered by Indian IT Services companies. This report has been developed through a comprehensive study of eight AI Platforms that are being offered by key Indian IT Services companies Key Highlights 1. Demystifying AI Platforms AI Platforms transform AI from being a series of finite point solutions to an enterprise capability, tailored and deployed to meet varied business requirements AI platforms help accelerate life cycle of enterprise AI projects by providing a structured yet flexible way to create AI-powered solutions AI Platforms are typically organized in five logical layers Data & Integration Layer Experimentation Layer Operations & Deployment Layer Intelligence Layer Experience Layer 2. Advantages of AI Platforms AI Platforms offer plug and play, reusable and customizable AI models to accelerate enterprise use case adoption AI platforms bring-in cognitive capabilities to existing AI, IT and enterprise systems to deliver Improved employee efficiency and productivity Enhanced customer experience Improved accuracy of existing systems Cost optimization 3. AI Platforms – Indian IT Services Landscape AI platforms offered by Indian Services companies have come a long way, and are catching up with the global counterparts in terms of AI complexity and enterprise-wide deployment Indian technology companies exhibit strong AI capabilities and over the years have developed full-stack of AI Platforms, catering to over 500 clients across 15+ sectors 4. Way Forward Stronger collaborations are required among stakeholders, including clients, to offer standardized and interoperable solutions that are built on open standards AI platforms should be able to address elements of bias and ethics within the platforms, adhere to governance, risk and compliance
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).
Consumer goods companies are increasingly intrigued by the power of artificial intelligence and the role it can play across the enterprise. But often they are unsure how best to design, test, and deploy these cutting-edge solutions. This survey explores the current state of CGs' AI development and the internal and external resources the industry leaders rely on as they build their AI tech stack. The survey will take no more than a few minutes of your time and allow CGT to continue to provide invaluable research to the industry. Qualified consumer goods executives will receive a $10 Amazon e-gift card as a thank you for their time and insight.
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.
The NVIDIA Jetson Xavier NX Developer Kit brings supercomputer performance to the edge. It includes a power-efficient, compact Jetson Xavier NX module for AI edge devices. It benefits from new cloud-native support and accelerates the NVIDIA software stack in as little as 10 W with more than 10X the performance of its widely adopted predecessor, Jetson TX2. The capability to develop and test power-efficient, small form-factor solutions with accurate, multi-modal AI inference opens the door for new breakthrough products. Developers can now take advantage of cloud-native support, transforming the experience of developing and deploying AI software to edge devices.
While a few days late for summer, the water park aesthetic matches the sunny, outdoors vibe everyone on this planet could use. But all is not well. Certain locations like Pleasant Park were preserved with floating platforms, while others like Weeping Woods are all but gone. Old haunts like Sweaty Sands and Steamy Stacks still exist in the map. If you drop into the water, you'll get a quick peek to see all these locations are now submerged.
Verzeo is India's fastest growing company offering Certification based Internship programs in tech specialisations such as Data Sciences, Full Stack Web Development, Machine Learning, Cloud Computing etc We make this happen for each of our students by using our specially designed Artificial Intelligence-based software. We provide hands-on training, mentoring and live project support to engage in a transformational learning experience.