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How do we know what is real and what is honest in this world of super information and connectivity? Human bias, computer algorithms and social media influencers are becoming ever more part of our human existence and the ability to critically evaluate and understand how they work and what they mean transcends the purchasing of gold and silver that my channel has traditionally focused on and is in my opinion relevant to nearly every decision we make in our modern lives.
Almost everything we do in the physical modern 2020 pandemic world we now live in is connected to the online universe – I choose the word universe because it is almost too vast to comprehend how big this online space is. We get our news, socialise, learn, interact, work and many more day to day activates online and collectively we are being disconnected from the physical world more and more every day. Most importantly (to the big corporations around the world at least) our money is managed and spent mostly online and the ability to influence or manipulate our purchasing decisions is worth trillions and trillions of dollars.
When you see something on YouTube that claims something radical and outlandish, just ask yourself is that right? What are the qualifications of the person making these claims? What ulterior motives are there at play here, what this machine wants me to think?
These are critical questions and they are critical for a reason. The how’s, what’s, why’s, who’s and where’s are the most important questions to ask yourself and others when looking to make decisions and will help you dissect the truth from the false.
To conclude, this modern world of algorithms and machine learning combined with the unfathomable amounts of information we are constantly bombarded with has and will continue to influence us. It’s unavoidable. How we interact with this information can help save us time, money and collectively make the internet and this global social network we find ourselves in more beneficial for all concerned.
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AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning.
For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.
Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud.
• Learn about the breadth of AI services available on the AWS Cloud
• Gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition
• Understand why Amazon has selected MXNet as its deep learning framework of choice due its programmability, portability, and performance
WIE’s Face-to-face online English course
Natural Language Processing , Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English.
Natural Language Understanding (NLU)
Natural Language Generation (NLG)
To learn more, please visit: https://aws.amazon.com/sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. In this tech talk, we will introduce you to the concepts of Amazon SageMaker including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment of ML models. With zero setup required, Amazon SageMaker significantly decreases your training time and the overall cost of getting ML models from concept to production.
– Learn the fundamentals of building, training & deploying machine learning models
– Learn how Amazon SageMaker provides managed distributed training for machine learning models with a modular architecture
– Learn to quickly and easily build, train & deploy machine learning models using Amazon SageMaker
“There’s a proliferation of unstructured data. Companies collect massive amounts of news feed, emails, social media, and other text-based information to get to know their customers better or to comply with regulations. However, most of this data is unused and untouched. Natural language processing (NLP) holds the key to unlocking business value within these huge data sets, by turning free text into data that can be analyzed and acted upon. Join this tech talk and learn how you can get started mining text data effectively and extracting the rich insights it can bring. We will also demonstrate how you can build a text analytics solution with Amazon Comprehend and Amazon Relational Database Service.
– Get an introduction to Natural Language Processing (NLP)
– Learn benefits of new approaches to analytics and technologies that help empower better decisions, e.g., NLP, data prep
– Build a text analytics solution with Amazon Comprehend and Amazon Relational Database Service in a step by step demo”
Dan Faggella is a professional Brazilian Jiu Jitsu martial artist and trainer, who took his offline teaching gym and turned it into a successful online training company.
If you want to learn how to turn your physical business into a successful digital training product online company, listen to this.
Show notes and downloads available here: https://yaro.blog/13737/dan-faggella-brazilian-jiu-jitsu-training-empire/
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New technologies from artificial intelligence and virtual reality to massive open online courses are beginning to disrupt existing models of learning. These technologies could help to meet rising demands for education around emerging Asia. From the rise of new global educational providers to the development of “micro” degrees and new VR tools for online learning, these technologies will also have profound implications for the way in which Higher Education policies are developed across Asia – both in developed economies like Singapore seeking to re-equip their workforce for a new era of globalisation and emerging nations attempting rapidly to increase the scale and quality of their education systems.
Find out key highlights shared by the speakers on their views of the death of traditional classrooms.
The panelist consists of:
## Mr Johannes Heinlein, Vice President, EdX
## Mr Adrian Lim, Director (Digital Participation & Foresight, Digital Readiness Cluster), Info-communications Media Development Authority (IMDA)
## Dr Suzaina Kadir, Associate Dean (Admissions, Partnerships and Programmes), Deputy Director (Academic Affairs) and Senior Lecturer, Lee Kuan Yew School of Public Policy
and is moderated by:
## Mr James Crabtree, Senior Visiting Fellow, the Centre on Asia and Globalisation, Lee Kuan Yew School of Public Policy
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Things get awkward when Will meets Sophia the Robot for an intimate conversation in the Cayman Islands. SUBSCRIBE: https://goo.gl/BUjQW8
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** RPA Training using UiPath – https://www.edureka.co/robotic-process-automation-training **
In this Edureka “UiPath Tutorial For Beginners” you will get an introduction to the leading RPA tool – Uipath. Towards the end, we will also be doing hands-on using UiPath. Below are the topics covered in this UiPath Tutorial:
00:48 What is RPA?
2:03 RPA Tools
3:40 Installing UiPath
Get Started with UiPath
Types of Projects in UiPath Studio
7:23 Blank Project
7:54 Simple Process
8:49 Agent Process Improvement
10:19 Transactional Business Process
12:03 UiPath Components
18:45 User Events
22:35 Activity Pane
24:21 UI Automation
25:49 User Events
26:17 UiPath Orchestrator
29:17 Properties Pane
30:34 Control Bar
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How it Works?
1. This is a 4 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!
– – – – – – – – – – – – – –
About the Course
Edureka’s RPA training makes you an expert in Robotic Process Automation.. Robotic Process Automation is Automation of repetitive and rule based tasks. In Edureka’s RPA online training, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you can automate the data extraction from the internet, login process, image recognition process and many more.
After completing the RPA Training, you will be able to:
1. Know about Robotic Process Automations and how it works
2. Know about the patterns and key considerations while designing a RPA solution
3. Know about the leading RPA tool i.e. UiPath
4. Gain practical knowledge on designing RPA solutions using both the tools
5. Perform Image and Text automation
6. Create RPA bots and perform data manipulation
7. Debug and handle the exceptions through the tool
– – – – – – – – – – – – – –
Why learn Robotic Process Automation?
Robotic Process Automation (RPA) is an automation technology for making smart software by applying intelligence to do high volume and repeatable tasks that are time-consuming. RPA is automating the tasks of wide variety of industries, hence reducing the time and increasing the output. Some of facts about RPA includes:
1. A 2016 report by McKinsey and Co. predicts that the robotic process automation market could be worth $6.7 trillion by 2025
2. A major global wine business, after implementing RPA, increased the order accuracy from 98% to 99.7% while costs reduced to Rs. 5.2 Crore
3. A global dairy company used RPA to automate the processing and validation of delivery claims, reduced goodwill write-offs by Rs. 464 Million
For more information, please write back to us at email@example.com or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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