: machine learning in Python — scikit-learn 0.22.1 documentation

Soft Actor Critic—Deep Reinforcement Learning with Real-World Robots – The Berkeley Artificial Intelligence Research Blog We are announcing the release of our state-of-the-art off-policy model-free reinforcement learning algorithm, soft actor-critic (SAC). This algorithm has been developed jointly at UC Berkeley and Google Brain, and we have been using it internally for our robotics experiment. Soft actor-critic is, to our knowledge, one of the most efficient model-free algorithms available today, making it especially well-suited for real-world robotic learning. In this post, we will benchmark SAC against state-of-the-art model-free RL algorithms and showcase a spectrum of real-world robot examples, ranging from manipulation to locomotion.

Datasets for Data Mining and Data Science See also Data repositories Anacode Chinese Web Datastore: a collection of crawled Chinese news and blogs in JSON format. towardsdatascience i-> Denotes a unit vector (vector of length 1 unit) pointing in the x-direction j -> Denotes a unit vector in the y-direction Together, they are called the basis of our coordinate vector space. We’ll come to the term basis more in the subsequent parts below. Suppose we have a vector 3i+ 5jThis vector has x,y coordinates : 3 & 5 respectivelyThese coordinates are the scalars that flip and scale the unit vectors by 3 & 5 units in the x & y directions respectively If u & v are two vectors in a 2 dimensional space,then their linear combination resulting into a vector l is represented by -

Populating MS Word Templates with Python Introduction In a previous post, I covered one approach for generating documents using HTML templates to create a PDF. While PDF is great, the world still relies on Microsoft Word for document creation. Data Mining: Practical Machine Learning Tools and Techniques Machine learning provides practical tools for analyzing data and making predictions but also powers the latest advances in artificial intelligence. Our book provides a highly accessible introduction to the area and also caters for readers who want to delve into modern probabilistic modeling and deep learning approaches. Chris Pal has joined Ian Witten, Eibe Frank, and Mark Hall for the fourth edition of the book, and his expertise in these techniques has greatly extended its coverage. The book's online appendix provides a reference for the Weka software. SlidesTable of Contents

towardsdatascience From Optimizer Benchmarks to Network Dissection, Vision Transformers & Lottery Subspaces Welcome to the August edition of the ‚Machine-Learning-Collage‘ series, where I provide an overview of the different Deep Learning research streams. So what is a ML collage? Simply put, I draft one-slide visual summaries of one of my favourite recent papers. Every single week. At the end of the month all of the resulting visual collages are collected in a summary blog post. Five OpenAI Five plays 180 years worth of games against itself every day, learning via self-play. It trains using a scaled-up version of Proximal Policy Optimization running on 256 GPUs and 128,000 CPU cores — a larger-scale version of the system we built to play the much-simpler solo variant of the game last year. Using a separate LSTM for each hero and no human data, it learns recognizable strategies.

STHDA - Home Linear Regression Essentials in R Linear regression (or linear model) is used to predict a quantitative outcome variable (y) on the basis of one or mult... Interaction Effect in Multiple Regression: Essentials towardsdatascience The MiniMax Tree works by visualizing all positions that can be reached within a certain depth from a position. It then evaluates all the final positions that can be reached and traces back the evaluations to the first set of legal moves. To make this work, we assume that we will play the move that gives us the maximum benefit and assume that the opponent will play the move that gives us the minimum benefit. Thus, the name MiniMax tree. This game is played by two MiniMax trees. You can see that all the moves revolve around protecting or gaining material.

Europe Code Week 360° virtual tour creation with CoSpaces_Edu The objective of this lesson plan is to create different Virtual Reality brochures or touristic guides in which students show their knowledge of their community, their city, a culture, or a civilization. This lesson involves getting students to do a significant amount of research and data collection, organize the information they gathered, and decide how to best present it in narrated or written format.CoSpaces Edu allows students to use 360° degree images onto which complementary information can be added through different types of icons or shapes available on the web or on the platform itself.The use of this type of visuals and the creation of 360° walks or itineraries is absolutely fantastic for class. It offers a way of bringing students closer to distant or nearby places and offering them a full view of the place. Types:

Flow-based Programming In computer programming, Flow-Based Programming (FBP) is a programming paradigm, discovered/invented by J. Paul Rodker Morrison in the late '60s, that uses a "data processing factory" metaphor for designing and building applications. FBP defines applications as networks of "black box" processes, which communicate via data chunks (called Information Packets) travelling across predefined connections (think "conveyor belts"), where the connections are specified externally to the processes. These black box processes can be reconnected endlessly to form different applications without having to be changed internally.

Learning From Data - Online Course (MOOC) A real Caltech course, not a watered-down version on YouTube & iTunes Free, introductory Machine Learning online course (MOOC) Taught by Caltech Professor Yaser Abu-Mostafa [article]Lectures recorded from a live broadcast, including Q&APrerequisites: Basic probability, matrices, and calculus8 homework sets and a final examDiscussion forum for participantsTopic-by-topic video library for easy review Outline This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications.

12 Sites and Apps for Learning to Code When the conversation amongst educators turns to programming, Scratch is often the first resource that is mentioned. Scratch allows students to program animations, games, and videos through a visual interface. Students create their programs by dragging together blocks that represent movements and functions on their screens. Make GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files. Make gets its knowledge of how to build your program from a file called the makefile, which lists each of the non-source files and how to compute it from other files. When you write a program, you should write a makefile for it, so that it is possible to use Make to build and install the program.