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Book JavaScript Absolute Beginner s Guide

Download or read book JavaScript Absolute Beginner s Guide written by Kirupa Chinnathambi and published by Que Publishing. This book was released on 2019-12-23 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who knew how simple using JavaScript could be? Make the most of JavaScript—even if you've never programmed anything before. JavaScript Absolute Beginner's Guide is the fastest way to learn JavaScript and use it together with CSS3 and HTML5 to create powerful web and mobile experiences. Learn how to do what you want, the way you want, one incredibly easy step at a time. JavaScript has never been this simple! Here's a small sample of what you'll learn: • Organize your code with variables • Understand how functions make your code reusable • Use the popular if/else statement to help make a decision in code • Learn about switch statements and when to use them • Work with for, while, and do...while loops • Learn how to use global and local scope • Understand what closures are • Learn about the various places your code can live • Understand how to write comments and use good commenting practices • Learn about the basic types of objects you'll run into in JavaScript • Find out that pizza has an educational value beyond just being deliciously awesome • Learn how to perform common string operations • Use arrays to handle lists of data • Learn to create custom objects • Get up to speed on some of the big ES6 changes

Book Absolute Beginner s Guide to Algorithms

Download or read book Absolute Beginner s Guide to Algorithms written by Kirupa Chinnathambi and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Beginner s Guide to Code Algorithms

Download or read book Beginner s Guide to Code Algorithms written by Deepankar Maitra and published by CRC Press. This book was released on 2022-01-26 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you have creative ideas that you wish you could transform into code? Do you want to boost your problem solving and logic skills? Do you want to enhance your career by adopting an algorithmic mindset? In our increasingly digital world, coding is an essential skill. Communicating an algorithm to a machine to perform a set of tasks is vital. Beginner’s Guide to Code Algorithms: Experiments to Enhance Productivity and Solve Problems written by Deepankar Maitra teaches you how to think like a programmer. The author unravels the secret behind writing code – building a good algorithm. Algorithmic thinking leads to asking the right question and enables a shift from issue resolution to value creation. Having this mindset will make you more marketable to employers. This book takes you on a problem-solving journey to expand your mind and increase your willingness to experiment with code. You will: Learn the art of building an algorithm through hands-on exercises Understand how to develop code for inspiring productivity concepts Build a mentality of developing algorithms to solve problems Develop, test, review, and improve code through guided experimentation This book is designed to develop a culture of logical thinking through intellectual stimulation. It will benefit students and teachers of programming, business professionals, as well as experienced users of Microsoft Excel who wish to become proficient with macros.

Book Absolute Beginner s Guide to Algorithms

Download or read book Absolute Beginner s Guide to Algorithms written by Kirupa Chinnathambi and published by Addison-Wesley Professional. This book was released on 2023-12-08 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on, easy-to-comprehend guide that is perfect for anyone who needs to understand algorithms. With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same. Absolute Beginner's Guide to Algorithms is the fastest way to learn algorithms and data structures. Using helpful diagrams and fully annotated code samples in Javascript, you will start with the basics and gradually go deeper and broader into all the techniques you need to organize your data. Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more Walk through popular search, sort, and graph algorithms Understand Big-O notation and why some algorithms are fast and why others are slow Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Book Introduction to Algorithms  third edition

Download or read book Introduction to Algorithms third edition written by Thomas H. Cormen and published by MIT Press. This book was released on 2009-07-31 with total page 1313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.

Book Real World Algorithms

Download or read book Real World Algorithms written by Panos Louridas and published by MIT Press. This book was released on 2017-03-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems. Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks—usually dull, repetitive ones. Starting from simple building blocks, computer algorithms enable machines to recognize and produce speech, translate texts, categorize and summarize documents, describe images, and predict the weather. A task that would take hours can be completed in virtually no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world problems they solve. The algorithms are presented in pseudocode and can readily be implemented in a computer language. The book presents algorithms simply and accessibly, without overwhelming readers or insulting their intelligence. Readers should be comfortable with mathematical fundamentals and have a basic understanding of how computers work; all other necessary concepts are explained in the text. After presenting background in pseudocode conventions, basic terminology, and data structures, chapters cover compression, cryptography, graphs, searching and sorting, hashing, classification, strings, and chance. Each chapter describes real problems and then presents algorithms to solve them. Examples illustrate the wide range of applications, including shortest paths as a solution to paragraph line breaks, strongest paths in elections systems, hashes for song recognition, voting power Monte Carlo methods, and entropy for machine learning. Real-World Algorithms can be used by students in disciplines from economics to applied sciences. Computer science majors can read it before using a more technical text.

Book How to Think About Algorithms

Download or read book How to Think About Algorithms written by Jeff Edmonds and published by Cambridge University Press. This book was released on 2008-05-19 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.

Book Grokking Algorithms

    Book Details:
  • Author : Dylan Christian
  • Publisher : Independently Published
  • Release : 2022-09-03
  • ISBN :
  • Pages : 0 pages

Download or read book Grokking Algorithms written by Dylan Christian and published by Independently Published. This book was released on 2022-09-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a broader understanding of Algorithms and their role in everyday life. Have you ever asked yourself why you need to learn Algorithms? What is their use in our daily life? Have you ever wondered how learning Algorithms can benefit you? Whether you're a newbie or a seasoned veteran, this book is designed to be easy to follow. There are no big leaps of thought, and any time a new concept is introduced, it is explained right away. This book is written in a friendly tone that explains exactly what you need to know without overcomplicating things. This book is a quantum leap forward from other machine learning books on the market. It is written for beginners but includes more technical information for people interested in diving deeper into the field. If you're just starting out with machine learning, this book will help you get up to speed quickly by giving you some background knowledge, providing concrete examples, and guiding you towards solving problems of your own. However, even experienced data scientists can benefit from some of the examples and applications in this book In this book, you will: Learn the different types of Algorithms and how they work Learn about the practical uses of Algorithms Get background knowledge about Algorithms with concrete examples Master Selection sort and Recursion Discover Quicksort with real-life examples Learn about Hashtags and why they are useful Discover Breadth-first search and Dijkstra's algorithm Master dynamic programming Extra care is taken to curate the contents of this book. It doesn't include every sorting algorithm-you can find an excellent introduction to them online. It includes only algorithms that are practical, widely used, and not too easy. Don't wait another second; click the "Add to Cart" button now and start working with algorithms.

Book Algorithms  Part II

    Book Details:
  • Author : Robert Sedgewick
  • Publisher : Addison-Wesley Professional
  • Release : 2014-02-01
  • ISBN : 0133847268
  • Pages : 971 pages

Download or read book Algorithms Part II written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 2014-02-01 with total page 971 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Book Grokking Algorithms

    Book Details:
  • Author : Aditya Bhargava
  • Publisher : Simon and Schuster
  • Release : 2016-05-12
  • ISBN : 1638353344
  • Pages : 354 pages

Download or read book Grokking Algorithms written by Aditya Bhargava and published by Simon and Schuster. This book was released on 2016-05-12 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book does the impossible: it makes math fun and easy!" - Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel. Continue your journey into the world of algorithms with Algorithms in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/algorithms-?in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. About the Book Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them. What's Inside Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples About the Reader This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. About the Author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents Introduction to algorithms Selection sort Recursion Quicksort Hash tables Breadth-first search Dijkstra's algorithm Greedy algorithms Dynamic programming K-nearest neighbors

Book A Common Sense Guide to Data Structures and Algorithms  Second Edition

Download or read book A Common Sense Guide to Data Structures and Algorithms Second Edition written by Jay Wengrow and published by Pragmatic Bookshelf. This book was released on 2020-08-10 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.

Book Computer Programming for Absolute Beginners

Download or read book Computer Programming for Absolute Beginners written by Joakim Wassberg and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with the building blocks of programming languages and get started on your programming journey without a computer science degree Key FeaturesUnderstand the fundamentals of a computer program and apply the concepts you learn to different programming languagesGain the confidence to write your first computer programExplore tips, techniques, and best practices to start coding like a professional programmerBook Description Learning how to code has many advantages, and gaining the right programming skills can have a massive impact on what you can do with your current skill set and the way you advance in your career. This book will be your guide to learning computer programming easily, helping you overcome the difficulties in understanding the major constructs in any mainstream programming language. Computer Programming for Absolute Beginners starts by taking you through the building blocks of any programming language with thorough explanations and relevant examples in pseudocode. You'll understand the relationship between computer programs and programming languages and how code is executed on the computer. The book then focuses on the different types of applications that you can create with your programming knowledge. You'll delve into programming constructs, learning all about statements, operators, variables, and data types. As you advance, you'll see how to control the flow of your programs using control structures and reuse your code using functions. Finally, you'll explore best practices that will help you write code like a pro. By the end of this book, you'll be prepared to learn any programming language and take control of your career by adding coding to your skill set. What you will learnGet to grips with basic programming language concepts such as variables, loops, selection and functionsUnderstand what a program is and how the computer executes itExplore different programming languages and learn about the relationship between source code and executable codeSolve problems using various paradigms such as procedural programming, object oriented programming, and functional programmingWrite high-quality code using several coding conventions and best practicesBecome well-versed with how to track and fix bugs in your programsWho this book is for This book is for beginners who have never programmed before and are looking to enter the world of programming. This includes anyone who is about to start studying programming and wants a head start, or simply wants to learn how to program on their own.

Book Python and Algorithmic Thinking for the Complete Beginner

Download or read book Python and Algorithmic Thinking for the Complete Beginner written by Aristides Bouras and published by Packt Publishing Ltd. This book was released on 2024-06-14 with total page 908 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the power of Python with this comprehensive guide, “Python and Algorithmic Thinking for the Complete Beginner.” It covers everything from computer basics to advanced decision and loop control structures. Key Features Comprehensive coverage from basic computer operations to advanced programming concepts Step-by-step progression of each topic, along with tips and tricks to enhance coding efficiency In-depth exploration of Python and algorithmic thinking with exercises and practical examples Book DescriptionThis course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code. Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics. The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems.What you will learn Understand how computers work and the basics of Python programming Install and use integrated development environments (IDEs) Develop skills in decision and loop control structures Manipulate data using lists, dictionaries, and strings Apply algorithmic thinking to solve complex problems Gain proficiency in object-oriented programming & file manipulation Who this book is for This course is ideal for absolute beginners with no prior programming experience. Basic computer literacy is required, but no specific knowledge of programming or algorithms is necessary. It is also suitable for individuals looking to refresh their Python skills and enhance their understanding of algorithmic thinking. High school and college students interested in programming, professionals seeking to upskill, and hobbyists eager to learn a new programming language will all find value in this course.

Book The Absolute Beginners Guide to Learning Java Programming

Download or read book The Absolute Beginners Guide to Learning Java Programming written by Jack Cola and published by Lulu.com. This book was released on 2009-10-17 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever wanted to learn Java Programming but could never understand what they were talking about? This book has solved the problem and started from the very beginning, in simple terms that can be easily understood by anyone.This is the simple guide for learning Java Programming.

Book Beginning Java Data Structures and Algorithms

Download or read book Beginning Java Data Structures and Algorithms written by James Cutajar and published by Packt Publishing Ltd. This book was released on 2018-07-30 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application. Key Features Explains in detail different algorithms and data structures with sample problems and Java implementations where appropriate Includes interesting tips and tricks that enable you to efficiently use algorithms and data structures Covers over 20 topics using 15 practical activities and exercises Book Description Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems. This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications. What you will learn Understand some of the fundamental concepts behind key algorithms Express space and time complexities using Big O notation. Correctly implement classic sorting algorithms such as merge and quicksort Correctly implement basic and complex data structures Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming Apply powerful string matching techniques and optimize your application logic Master graph representations and learn about different graph algorithms Who this book is for If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques.

Book Beginning Algorithms

    Book Details:
  • Author : Simon Harris
  • Publisher : John Wiley & Sons
  • Release : 2008-04-21
  • ISBN : 0470329726
  • Pages : 592 pages

Download or read book Beginning Algorithms written by Simon Harris and published by John Wiley & Sons. This book was released on 2008-04-21 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning Algorithms A good understanding of algorithms, and the knowledge of when to apply them, is crucial to producing software that not only works correctly, but also performs efficiently. This is the only book to impart all this essential information-from the basics of algorithms, data structures, and performance characteristics to the specific algorithms used in development and programming tasks. Packed with detailed explanations and instructive examples, the book begins by offering you some fundamental data structures and then goes on to explain various sorting algorithms. You'll then learn efficient practices for storing and searching by way of hashing, trees, sets, and maps. The authors also share tips on optimization techniques and ways to avoid common performance pitfalls. In the end, you'll be prepared to build the algorithms and data structures most commonly encountered in day-to-day software development. What you will learn from this book The basics of algorithms, such as iteration and recursion Elementary data structures such as lists, stacks, and queues Basic and advanced sorting algorithms including insertion sort, quicksort, and shell sort Advanced data structures such as binary trees, ternary trees, and heaps Algorithms for string searching, string matching, hashing, and computational geometry How to use test-driven development techniques to ensure your code works as intended How to dramatically improve the performance of your code with hands-on techniques for profiling and optimization Who this book is for This book is for anyone who develops applications, or is just beginning to do so, and is looking to understand algorithms and data structures. An understanding of computer programming is beneficial. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.

Book Machine Learning

Download or read book Machine Learning written by Alexa Philips and published by Createspace Independent Publishing Platform. This book was released on 2017-11-13 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Absolute Beginners Sale price. You will save 66% with this offer. Please hurry up! The Ultimate Beginners Guide for Algorithms, Neural Networks, Random Forests and Decision Trees If you are searching for a book on Machine Learning that is easy to understand and put in a relatively simple manner for easy flow and understanding for professionals and beginners. And you're the type that has a second thought about machine learning mathematics, then you need to read this book. It is well explanatory and contains essential information about Machine Learning without any complex mathematics but with great understanding. Here is a preview of what you'll learn: The introduction to Machine learning - An Informative write up on Artificial Intelligence Algorithms in Machine Learning A simple way to understand Decision trees Random Forest and how it works Neural Network Download your copy of "Machine Learning for Absolute Beginners" by scrolling up and clicking "Buy Now With 1-Click" button. Tags: Machine Learning, Machine Learning Algorithms, Algorithms, Neural Networks, Random Forests, Decision Trees Machine, Machine Learning Course, Big Data Machine Learning, Machine Learning For Dummies, Machine Learning Big Data, Machine Learning Tools, Machine Learning Basics, Machine Learning Online Course, Learn Machine Learning, Machine Learning As A Service, Cloud Machine Learning, Big Data And Machine Learning, Machine Learning And Big Data, Machine Learning Algorithms For Beginners, Machine Learning Platform, Data Science, Machine Learning Big Data Analytics, Machine Learning Companies, Ai Machine Learning, Machine Learning Cloud, Machine Learning Services