Machine Learning Week 7 Quiz

To learn machine learning, we will use the Python programming language in this tutorial. Machine Learning week 7 quiz: Support Vector Machines ; 3. Hackademic your everyday technogeek station. FREE with a 30 day free trial. Andrew NG’s course is derived from his CS229 Stanford course. co/rHlyfdPfTj. The first lecture is on January 7; the last lecture is on April 3. This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). This article discusses some points on the basis of which we can differentiate between these two terms. Support Vector Machines 5 试题 1. Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a Chinese-American computer scientist and statistician, focusing on machine learning and AI. You will have to read all the given answers and click over the correct answer. Prerequisites for 10-605/805. The robot is called Pepper. Find with multiple criteria MOOC and Free Online Courses from Coursera, edX, Futurelearn and other top providers in a wide range of subjects. The course is 11 weeks long, tuition is free (or $49 if you want a certificate upon completion of the course). Machine Learning Part 5: Underfitting and Overfitting Problems 11 minute read Here we are again, in the fifth post of Machine Learning tutorial series. HRM Incident 1: 1. First day of class! Welcome! Discussion of syllabus. Support Vector Machines支持向量机(Week 7) 6. "B) "No, the two drugs will work against each other. Wait! There is something wrong, isn't it? - You may wonder…. Course Calendar. We will use simple data analysis as the programming exercises through the course. The idea would be to write up some python tips and tricks presented in the form of short exercises. Github repo for the Course: Stanford Machine Learning (Coursera) Quiz Needs to be viewed here at the repo (because the image solutions cant be viewed as part of a gist). As computers become more powerful, Neural Networks are gradually taking over from simpler Machine Learning methods. Instead of the specifics of AlphaGo, we should focus on the general issues in multi-agent RL. It takes seconds to make an account and filter through the 700 or so classes currently in the database to find what interests you. This post contains links to a bunch of code that I have written to complete Andrew Ng's famous machine learning course which includes several interesting machine learning problems that needed to be solved using the Octave / Matlab programming language. 5 thoughts on “ Building A Quiz-show Style Buzzer System. Our learning hub, the Intel® AI Academy, offers a wealth of training and resources to developers, data scientists, students, and professors. Instead of the specifics of AlphaGo, we should focus on the general issues in multi-agent RL. The same goes for automobiles. Learn Python in the most social and fun way, with SoloLearn! Learn Python, one of today's most in-demand programming languages on-the-go, while playing, for FREE! Compete and collaborate with your fellow SoloLearners, while surfing through short lessons and fun quizzes. Informally, we will cover the techniques that lie between a standard machine learning course and an efficient systems implementation. This course is for students with SQL experience and now want to take the next step in gaining familiarity with distributed computing using Spark. Three years ago, we launched the Microsoft Professional Program with one mission: to help you build the technical skills you need to succeed in emerging jobs. You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. 2 In recent years, a so called “big data revolution” in healthcare has been promised345 so often that. Thousands of quizzes and quiz questions and answers about New Zealand. This post are the fresh notes of the current offering of Machine Learning course on coursera. Artificial Intelligence: The word Artificial Intelligence comprises of two words "Artificial" and "Intelligence. com definition. PHP 7 is the latest stable release. These weights are approximate; we reserve the right to change them later. Intro to BDA. The information about about the Final will be posted this week. Machine learning at its most basic is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the world. Python 3 Tutorial. There is Bing predicts. 8, a3 will be reduced by 1 - keep_prob = 0. Quiz by Jess_is_best Start studying Quiz Joint Movements. SICPを読み終えてからやると決めていた機械学習の勉強について、 まずはAndrew Ng先生のCoursera Machine Learningのコースを修了しました。. I’ve got no help to offer here. Whether it’s. Lesson 23 is a quiz on Deep Learning and Neural Networks. Quizzes are fun. For this quiz we will be using several R packages. Get CompTIA, Cisco, or Microsoft training courses free for a week. Learn Fundamentals of Fluid-Solid Interactions from École Polytechnique. CS6787 is a graduate-level introduction to these system-focused aspects of machine learning, covering guiding principles and commonly used techniques for scaling up to large data sets. This first joint at the base of the finger is called the metacarpophalangeal joint (MCP). Course Description This course will present an introduction to algorithms for machine learning and data mining. 2019 – NVIDIA and VMware today announced their intent to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine. Practical Machine Learning Week 4 Quiz Wenjing Liu November 5, 2018. For example, when they want to write the word "dog", they need to be able to hear the sounds "d", "o" and "g" in order to write the word. com is a free website devoted to teaching you how to program in C++. The book will teach you about: Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data Deep learning, a powerful set of techniques for learning in neural networks. where she spent over 7 years working 80 hours per week and traveling internationally. I must learn this, I can’t keep driving, I don’t know what my goal is yet but I know it’s not driving. MongoDB 日志分析工具 mtools. Discuss the “Big Picture” and how to continue learning ML. From simple training, testing, and certification tests to managing sophisticated courses and programs, Gauge is the scalable and. The computer uses high-resolution cameras, a large amount of random access memory (RAM), and an artificial intelligence (AI) program to interpret data. These will consist of a few short questions about the assigned reading material for the week. The right answers will serve as a testament for your commitment to being a lifelong learner in machine learning. 0 is now available in preview and has integrations with Google Cloud, AWS, and Azure Machine Learning. The lower the loss, the better a model (unless the model has over-fitted to the training data). Machine Learning Week 1 Quiz 2 (Linear Regression with One Variable) Stanford Coursera. 5 thoughts on “ Building A Quiz-show Style Buzzer System. Week 4 Quiz 16 分鐘. Our findings suggest potential value in motor execution of the phantom limb as a treatment for phantom limb pain. ) Note: enter your answer in American decimal format (e. We are a data science podcast. Here are some useful resources that can help in your journey with Python audio processing and machine learning: pyAudioAnalysis. Validate your skills. Start with Staples® to discover coursera+machine+learning+quiz+answers+week+7 available now. 0 is now available in preview and has integrations with Google Cloud, AWS, and Azure Machine Learning. Knowledge of basic probability and basic linear algebra is required. Contribute to ngavrish/coursera-machine-learning-1 development by creating an account on GitHub. Two of the most de-motivational words in the English language. We're excited you're here! In week 1 you'll get a soft introduction to what Machine Learning and Deep Learning are, and how they offer you a new programming paradigm, giving you a new set of tools to open previously unexplored scenarios. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. A while back there was a post called Python Quiz of the Week - #1 which I thought was pretty cool. The project can be done individually or in teams. Machine Learning - WAYR (What Are You Reading) - Week 7 (self. Preparing data. Hrm Incident 1. Machine learning is a subfield of artificial intelligence, which enables machines to learn from past data or experiences without being explicitly programmed. Today I’m going to walk you through some common ones so you have a good foundation for understanding what’s going on in that much-hyped machine learning world. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. With The Gauge Platform, You Can Create, Customize, and Deliver High-Stakes Tests That Meet Your Organization’s Unique Needs. She continues to have gastric discomfort and asks whether she can take an antacid. The Hundred-Page Machine Learning Book by Andriy Burkov The Age of Em Deep Learning with Python Mind Children by Hans Moravec Pattern Recognition and Machine Learning by Christopher M. Learn Aprendizagem Automática na Prática from Universidade Johns Hopkins. Learn more about the English language with our online grammar lessons. It'll give you the skillsets to govern and control enterprise IT and perform an effective security audit on any organization. Find out how. The topics covered are shown below, although for a more detailed summary see lecture 19. Python Review: Week 2 (April 7) Machine Learning: a Probabilistic Perspective, Kevin Murphy,. Machine Learning Quizzes Build and test your Machine Learning knowledge with Cloud Academy's multiple choice quiz sessions. There are many Python machine learning resources freely available online. Suppose you are training a logistic regression classifier using stochastic gradient descent. McGraw-Hill, 1997. There are a number of categories of servers, including print servers, file servers, network servers and database servers. As computers become more powerful, Neural Networks are gradually taking over from simpler Machine Learning methods. There is a time limit of 10 minutes per question just to make it more fun, but you should be able to answer the questions well under the limit. Machine Learning week 7 quiz: Unsupervised Learning. Quizzes are fun. Reading: [ Machine Learning and Data Science Resources]. It's important that you work on a real computer vision project, or a real problem in some relevant domain, so that you earn first-hand experience how the computational models are bridged with the high complexity and uncertainty of the real world. This quiz tests your understanding of Support Vector Machines. These modules contain one or more videos focused on the 3 things you need to get through college: Organization Skills, Academic Skills, and Motivation. This is where raw and processed datasets are stored, enabling reproducible analysis. The University of Adelaide provides quality service and support to its community through the efforts of a range of departments. How to take the quiz: After reading the question, click on the answer that you think is correct to go to the whatis. While mathematical methods and theoretical aspects will be covered, the primary goal is to provide students with the tools and principles needed to solve both the traditional and the novel data science problems found in practice. Artificial Intelligence in Industry (Dan Faggella) Every week, Dan Faggella interviews data scientists and AI leaders from the world’s companies to figure out the applications and implications of AI. The second option is the Linear Algebra crash course presented as an optional module in Week 1 of his Coursera Machine Learning course. (As in the lesson, green squares indicate recommended items, magenta squares are liked items. For which of the following tasks might K-means clustering be a suitable algorithm? Select all that apply. 33W of electricity. Time Sequence Online Quiz - Following quiz provides Multiple Choice Questions (MCQs) related to Time Sequence. This article explains how Features help LUIS recognize both intents and. Machine Learning Week 6 Quiz 2 (Machine Learning System Design) Stanford Coursera. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. Learn Python in the most social and fun way, with SoloLearn! Learn Python, one of today's most in-demand programming languages on-the-go, while playing, for FREE! Compete and collaborate with your fellow SoloLearners, while surfing through short lessons and fun quizzes. And while we are calling it the top 10 machine learning companies, it's probably more accurate to say it's about AI with an emphasis on ML. com definition. View Test Prep - Week 6 - Quiz answers - part 1 from EXP 105 at Ashford University. Course Material. We are excited to announce the launch of our very first MOOC – Data Science & Machine Learning Essentials – an exciting five week course that starts on September 24th 2015, free on edX. It is an important type of artificial intelligence as it allows an AI to self-improve based on large, diverse data sets such as real world experience. , you are excused from two of them with no penalty). Machine Learning - Andrew Ng Coursera Cost. The readings will come from Machine Learning (Flach), Learning from Data (LfD), the reading packet (Handout), or online sources. This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. 200-125 Quiz 21 Today's Deal. This article explains how Features help LUIS recognize both intents and. Suppose you have trained an SVM classifier with a Gaussian kernel, and it learned the following decision boundary on the training set: When you measure the SVM's perfo. The solution to the quiz will be posted. There are apparently a very small number of teams who will train a bright person how to do ML, but in general you're expected to have some background with it. Machine learning helps us detect potential issues more quickly and helps us decide the best time to update each PC once a new version of Windows is available. During the week before Halloween, participants secretly. Scikit-learn. The Earth. This class introduces the basic concepts and vocabulary of machine learning: Supervised learning and how it can be applied to regression and classification problems. Oracle EVP Steve Miranda: Oracle Cloud apps offer the. Neural Networks for Machine Learning Quizzes (self. Machine learning-Stanford University. If you fail or struggle with the quiz, it's recommended that you complete the Linear Algebra and Calculus for Machine Learning course before taking Machine Learning. In this first half of the course, we cover a multitude of technologies that comprise the modern concept of cloud computing. You’ll get a general overview of Machine Learning topics such as supervised vs unsupervised learning, and the usage of each algorithm. 今週は NeuralNetworkのコスト関数 Backpropagationアルゴリズム 微分チェック を学…. There are apparently a very small number of teams who will train a bright person how to do ML, but in general you're expected to have some background with it. Coursera Machine Learning Week 8. All recitations will be held in the times and rooms of quiz sections. Prediction of electroconvulsive therapy (ECT) response has been a scientific goal since the early 1950s. Instead, my goal is to give the reader su cient preparation to make the extensive literature on machine learning accessible. , neural networks) and applications for interdisciplinary subjects (e. org, which covers the courses offered in Week 4 (Neural Networks: Representation) through Week 6 (Machine Learning System Design). Over to Brian: Hello everyone! This summer I interned in the. Please note that regrading of the work may cause your grade to go up or down. - The last week needs expansion. This makes machine learning the first new discipline to demonstrate the importance of lifetime learning, he says: it simply will not be possible to spend an entire working life without re-skilling. ) Optimization (cost functions, taking gradients, regularization). We can confidently say that this is the best, most comprehensive accelerated learning product we’ve ever released on Udemy. A while ago I created this image for thinking about how machine learning systems tend to get deployed. Calendar: CSCC11 Introduction to Machine Learning Below is a tentative calendar for the the course lectures and tutorials. Whether it’s. Week 7: Next week is Finals Week for the class There will be no class on Monday. These are the links for the Coursera Machine Learning - Andrew NG Assignment Solutions in MATLAB (Can be used in Octave as it is). This is how My Beauty Matches is using machine learning to bring massive change to the beauty industry. 2 4 V DC 9. Machine Learning Week 8 Quiz 1 (Unsupervised Learning) Stanford Coursera. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. There is a time limit of 10 minutes per question just to make it more fun, but you should be able to answer the questions well under the limit. Lastly, machine learning is all about prediction. As per a report by Gartner, demand for Artificial Intelligence professionals will jump by 38% by 2020. If you are a data scientist, then you need to be good at Machine Learning - no two ways about it. Exams are designed primarily to test your conceptual understanding of the material covered up to this point in the course. ☆20+ Million Users Trust ☆FREE Trial. We explain why recording patient safety incidents is important for learning and how to report these incidents. The computer uses high-resolution cameras, a large amount of random access memory (RAM), and an artificial intelligence (AI) program to interpret data. This site contains user submitted content, comments and opinions and is for informational purposes only. Where to begin? How to proceed? Go from zero to Python machine learning hero in 7 steps! Getting started. The most important difference between a forecasting regression task type and regression task type within automated machine learning is including a feature in your data that represents a valid time series. Setting up your Machine Learning Application For example keep_prob = 0. Build career skills in data science, computer science, business, and more. , all deep learning algorithms are machine learning algorithms. NET allows. Practical Machine Learning - Course Project Introduction For this project, we are given data from accelerometers on the belt, forearm, arm, and dumbell of 6 research study participants. Its occurrence i. Assessment Quiz for Machine Learning. Most of the lectures were about a real world machine learning problem: finding and OCRing text in photographs. Those systems also require ongoing attention, albeit on more levels. You'll get a general overview of Machine Learning topics such as supervised vs unsupervised learning, and the usage of each algorithm. This app will show you how easy it is to become a programmer. Artificial Intelligence in Industry (Dan Faggella) Every week, Dan Faggella interviews data scientists and AI leaders from the world’s companies to figure out the applications and implications of AI. As long as you submit the assignments within the hard deadline, you will be fine. CMP684 Neural Networks is also very related. Meet other learners from around the world, ask questions, discuss ideas and work together to achieve your goals. Machine learning is the science of getting computers to act without being explicitly programmed. Course Description (and Syllabus) This course aims to introduce fundamental tasks in natural language processing, and its recent advances based on machine learning algorithms (e. machine-learning Machine Learning Machine Learning 解答 Machine Learning Pip Machine Learning In quiz week Machines Machine Learning 编程源 Practice Quiz Quiz Machine Learning machine learning Machine Learning machine learning Machine Learning machine learning Machine Learning Machine learning Machine Learning Java Machine Learning week 7 quiz: programming assignment-Support Vector. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the. The course consists of video lectures, and programming exercises to complete in Octave or MatLab. SICPを読み終えてからやると決めていた機械学習の勉強について、 まずはAndrew Ng先生のCoursera Machine Learningのコースを修了しました。. There is Bing predicts. A growth mindset, on the other hand, attributes success to learning. Machine learning is the process of automatically building mathematical models that explain and generalise datasets. That’s why data preparation is such an important step in the machine learning process. Or copy & paste this link into an email or IM:. Contribute to atinesh-s/Coursera-Machine-Learning-Stanford development by creating an account on GitHub. Welcome to PREDICT 422 - Practical Machine Learning Welcome to PREDICT 422 - Practical Machine Learning Welcome to PREDICT 422 Quiz #7 Quiz #7 Score at least. In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Please take the quiz to rate it. Available on web and mobile so that you can train from anywhere. Udemy is an online learning and teaching marketplace with over 100,000 courses and 24 million students. The first step is often the hardest to take, and when. While doing the course we have to go through various quiz and assignments. Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a Chinese-American computer scientist and statistician, focusing on machine learning and AI. 2 percent (20% of the elements of a3 will be zeroed out), in order to not reduce the expected value of z4=w4. The topics covered are shown below, although for a more detailed summary see lecture 19. Week 1 Quiz. Lab: The Bootstrap (7:40) Take the weekly Moodle quiz to assess your learning by Friday of week 6. This is where new maps, produced by researchers at Facebook, come in. Machine-learning systems are used to identify objects in images, transcribe speech into text, match news items, posts or products with users’ interests, and select relevant results of search. Accountants Must Embrace Machine Learning. Machine Learning week 7 quiz: programming assignment-Support Vector Machines ; 4. Coursera Machine Learning Week 4 - Neural Networks. Two of the most de-motivational words in the English language. Suppose you have a dataset with n = 10 features and m = 5000 examples. Coursera's machine learning course week three (logistic regression) 27 Jul 2015. It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. After quiz deadline: (This may apply to only a few courses). Artificial intelligence definition is - a branch of computer science dealing with the simulation of intelligent behavior in computers. Browse by desired features, coursera+machine+learning+quiz+answers+week+7 on sale, prices and ratings. While doing the course we have to go through various quiz and assignments. The Microsoft Azure Machine Learning Studio Algorithm Cheat Sheet helps you choose the right machine learning algorithm for your predictive analytics solutions from the Azure Machine Learning Studio library of algorithms. Machine Learning week 7 quiz: programming assignment-Support Vector Machines 11-27 阅读数 6582. These systems have enabled training increasingly complex models on ever larger datasets. Machine learning is the science of getting computers to act without being explicitly programmed. Since I'm a complete beginner in machine learning and I. org, which covers the courses offered in Week 7 (Support Vector Machines) through Week 10 (Large-scale Machine Learning). Support Vector Machines支持向量机(Week 7) 6. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Start with Staples® to discover coursera+machine+learning+quiz+answers+week+7 available now. PHP is a widely-used, free, and efficient alternative to competitors such as Microsoft's ASP. Coursera Machine Learning Week 4 - Neural Networks. This first joint at the base of the finger is called the metacarpophalangeal joint (MCP). Bishop Architects of Intelligence by Martin Ford Math for Machine Learning Book Machine Learning for Humans - Vishal Maini and Samer Sabri. Phonics Recommendations. NET, an open-source machine learning platform which enables. Probabilistic Classifiers. The training is just a means to an end. If you're interested in taking a free online course, consider Coursera. You will be awarded full grade if your solution satisfies the grader's criteria. Please take the quiz to rate it. This site has over 100 quizzes. An attempt to explain all of machine learning in five minutes. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. The same goes for automobiles. us10152130155: 正在Coursera学习Machine Learning,这些答案能给我一个更好的对照 (Week 2) Coursera Machine Learning quiz 参考答案(不. Unfortunately, much of the implementation of these technologies lags the potential by a significant margin. They are already at the heart of a new generation of speech recognition devices and they are beginning to outperform earlier systems for recognizing objects in images. As computers become more powerful, Neural Networks are gradually taking over from simpler Machine Learning methods. Make a plot of the outcome (CompressiveStrength) versus the index of the samples. CCNA Practice Quiz: 200-125 Quiz 21 Created by TestOut. "Machine learning is learning from past data, historical trends, identifying patterns, and then predicting what's next. See the calendar page for a list of all the lectures (subject to minor change). Exposure to programming language (e. Machine learning is the science of getting computers to act without being explicitly programmed. Machine learning-Stanford University. Now generally available after a year’s worth of beta testing, WML promises to address the needs of both data scientists and devs. He’d even built a front-end web portal to interact with the results. 98, not 0,98). The course consists of video lectures, and programming exercises to complete in Octave or MatLab. We casually discuss data science, analytics, big data, machine learning, artificial intelligence. While doing the course we have to go through various quiz and assignments. NET, an open-source machine learning platform which enables. The Human resource function was affected by Hurricane Rita on the following maters: The external environment has been changed due to an unanticipated event that had direct influence on the Labor market, Competition & Custumer and there for it influence the 5 functional areas of the HRM 2. 1 Course Plan. 8, a3 will be reduced by 1 - keep_prob = 0. Linear regression and get to see it work on data. I must learn this, I can't keep driving, I don't know what my goal is yet but I know it's not driving. Coursera: Machine Learning. Browse by desired features, coursera+machine+learning+quiz+answers+week+7 on sale, prices and ratings. Today, we're testing your knowledge of Deeplearning4j trivia! We. The robot is called Pepper. For example, the data used for machine learning training tends not to be static and data quality is important. You’ll gain expertise in the acquisition. Lectures Week Week 7. Advertiser Disclosure: Some of the products that appear on this site are from companies from which QuinStreet receives compensation. - Borye/machine-learning-coursera-1. This will be subject to change as we make our way through the course. Within machine learning, there are several techniques you can use to analyze your data. Practical Machine Learning Week 4 Quiz Wenjing Liu November 5, 2018. Inherently, machine learning is defined as an advanced application of AI in interconnected machines and peripherals by granting them access to databases and making them learn new things from it on their own in a programmed manner. This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Unlike many other salary tools that require a critical mass of reported salaries for a given combination of job title, location and experience, the Dice model can make accurate predictions on even uncommon combinations of job factors. He told me about the project he was working on to use machine learning to try and understand student learning better. Reasoning - Time Sequence - This is a chapter upon time calculation. Coursera Machine Learning Week 6 - Advice for Applying Machine Learning. Machine Learning Week 6 Quiz 2 (Machine Learning System Design) Stanford Coursera. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. We've moved to our new platform at www. Machine Learning Week 8 Quiz 2 (Principle Component Analysis) Stanford Coursera. See the calendar page for a list of all the lectures (subject to minor change). Two of the most de-motivational words in the English language. Instead, increased use of AI will allow accountants to focus on providing better decision support rather than on data gathering and manual analyses. While doing the course we have to go through various quiz and assignments. So here are the notes from Week 7-10. 7) This is the ability of a computer to use binocular vision to differentiate between objects. Also, although we're looking to find less well-known companies which are either developing or using machine learning in interesting and innovative ways, it's impossible to ignore the big tech companies. [View Context]. That's an oversimplified definition, but it is the best way to think about it. You will also learn some of practical hands-on tricks and techniques (rarely discussed in textbooks) that help get learning algorithms to work well.