AWS re:Invent is a learning conference hosted by Amazon Web Services for the global cloud computing community. We are super excited to join you at the 10th annual re:Invent to share the latest from AWS leaders and discover more ways to learn and build. Let's celebrate this milestone, which will be offered in person in Las Vegas (November 29-December 3) and in virtual (November 29–December 10) formats. The health and safety of our customers, and partners remains our top priority and you can learn more about it in health measures page. If you haven't already registered, don't forget to register and save your spot at your favorite sessions. The AWS DevOps and Developer Productivity track at re:Invent offers you with sessions that are combination of cultural philosophies, practices, and tools that increase an organization's ability to deliver applications and services at high velocity.

Goal setting seems like a no brainer to achieve any Great Goal! Yet it is seldom effectively practiced. The Key is not about learning complex concepts but rather developing DEEP understanding about simple yet effective methods. What better way to learn this other than through a story? In this 6 Episode series, let us learn various aspects of Goal setting in an extremely effective manner by walking along with Billy as he learns powerful techniques that truly revolutionize his life.

Welcome to the Learn Data Science and Machine Learning with R from A-Z Course! In this practical, hands-on course you'll learn how to program in R and how ... Welcome to the Learn Data Science and Machine Learning with R from A-Z Course! In this practical, hands-on course you'll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.

This tutorial will guide you through the simplest way to download historical cryptocurrency OHCL market data via exchange APIs. We'll use this data to train our Reinforcement Learning Bitcoin trading agent that could finally beat the market! Algorithmic trading is a popular way to address the rapidly changing and volatile environment of cryptocurrency markets. However, implementing an automated trading strategy is challenging and requires a lot of backtesting, which involves a lot of historical data and computational power. While developing a Bitcoin RL trading bot, I found out that it's pretty hard to get lower timeframe historical timeframe data.

You will start from the fundamental concepts and slowly build your knowledge of the subject.

In Learn Python: Build a Virtual Assistant In Python, you will go from beginner to intermediate level the fun way; creating a real-world application! In this course, I will teach you how to create and set up a virtual assistant for your computer. We will learn how to get data from Wikipedia and Wolfram Alpha, as well as create a GUI. After that, I will regularly release new videos on other optional things that you could add to our application. This course will help you add something fun to your portfolio and give you good practice for using python.

In this webinar, the experts from Syskoplan Reply present the Machine Learning abilities of SAP Sales and Service Cloud. Get an overview of the newly added features and learn how to add value to your daily sales and service routines. Get familiar with Machine Learning functions such as Similar Ticket Recommendation, Email Template Recommendation and Machine Translation. The experts demonstrate how Natural Language Processing identifies product numbers, order numbers and language used from a customer's written text. Learn in a live demo how Ticket Categorization and Sentiment Analysis can save valuable time in ticket processing and see how additional valuable information is seamlessly integrated into SAP Service Cloud.

In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.

The paper "Avoiding a Tragedy of the Commons in the Peer Review Process" is available here: https://arxiv.org/abs/1901.06246

Bob has started his own mobile company. He wants to give a tough fight to big companies like Apple, Samsung etc. He does not know how to estimate the price of mobiles his company creates. In this competitive mobile phone market, you cannot simply assume things. To solve this problem he collects sales data of mobile phones of various companies.