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Computers & Technology (コンピュータ・テクノロジー) 人気ランキング

最終更新日 2020年6月26日

順位 出版社他 作者他 商品名
1位   Aurélien Géron Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
2位 English Edition Neiy Darry How to create a COVID-19 health report app in 3 hours with Power Apps and SharePoint Online: Step by step tutorial – Level: Beginner (Power Platform for All Book 5)
3位   Pete Warden TinyML: Machine Learning With Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
4位 English Edition Sam Newman Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith
5位   Mr Benjamin Smith DEEP LEARNING WITH PYTHON: A Comprehensive Beginner’s Guide to Learn the Realms of Deep Learning with Python from A-Z
6位   AI Publishing Deep Learning Crash Course for Beginners with Python: Theory and Applications of Artificial Neural Networks, CNN, RNN, LSTM and Autoencoders using TensorFlow 2.0- Contains Exercises with Solutions and Hands-On Projects
7位 English Edition Tee Wakes Kindle Unlimited: A Concise Guide to sign up for free trial, Cancel, and Manage your Kindle Unlimited Subscription in 3 Minutes. (Smart Kindle Tips)
8位 English Edition U. C-Abel Books Microsoft Office 356/2016 Keyboard Shortcuts For Macintosh (Shortcut Matters)
9位 Springer Texts in Statistics R. James An Introduction to Statistical Learning: with Applications in R
10位 English Edition AI Publishing Deep Learning Crash Course for Beginners with Python: Theory and Applications step-by-step using TensorFlow 2.0-Contains a lot of Exercises and Hands-on projects
11位   Gennady Andrienko Visual Analytics of Movement
12位   Sam Newman Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith
13位   Kelsey Hightower Kubernetes: Up and Running: Dive into the Future of Infrastructure
14位   Philip Seamark Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence
15位   Jung W. Suh Accelerating MATLAB with GPU Computing: A Primer with Examples
16位 Excel 2019 Mastery Nathan George Excel 2019 Basics: A Quick and Easy Guide to Boosting Your Productivity with Excel
17位 English Edition Aurélien Géron Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
18位   Michael N. Mitchell Data Management Using Stata: A Practical Handbook
19位   Rowel Atienza Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition
20位   Joan Lambert Microsoft PowerPoint 2016 Step by Step
21位   Joan Lambert Microsoft Word 2019 Step by Step
22位   Stephen Laskevitch Adobe InDesign CC: A Complete Course and Compendium of Features
23位   Federico Perali The New Generation of Computable General Equilibrium Models: Modeling the Economy
24位 English Edition Steve Wexler The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
25位   David Pogue Windows 10 May 2019 Update The Missing Manual: The Book That Should Have Been in the Box
26位 English Edition Jonathan Schwabish Better Presentations: A Guide for Scholars, Researchers, and Wonks
27位 English Edition Guillaume Lazar Mastering Qt 5: Create stunning cross-platform applications using C++ with Qt Widgets and QML with Qt Quick, 2nd Edition
28位   Anirudh Koul Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI and Computer-Vision Projects Using Python, Keras, and Tensorflow
29位 Remote Sensing and Digital Image Processing (24) D. Jude Hemanth Artificial Intelligence Techniques for Satellite Image Analysis (Remote Sensing and Digital Image Processing
30位   Sebastian Raschka Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
31位 English Edition María Carina Roldán Pentaho Data Integration Quick Start Guide: Create ETL processes using Pentaho
32位   Florian Heiss Using R for Introductory Econometrics
33位 Remote Sensing and Digital Image Processing Ramon F. Hanssen Radar Interferometry
34位 Springer Reference Shashi Shekhar Encyclopedia of GIS
35位   Himanshu Sharma Attribution Modelling in Google Ads and Facebook
36位   Florian Heiss Using Python for Introductory Econometrics
37位 English Edition Jonathan Miller Getting Started with Slack: A Quick Start Guide for Everyone
38位   Tim Woodruff Learning ServiceNow: Administration and development on the Now platform, for powerful IT automation, 2nd Edition
39位   Kieran Healy Data Visualization: A Practical Introduction
40位 English Edition Krishna Rungta Learn SAP SD in 1 Day: Definitive Guide to Learn SAP Sales & Distribution for Beginners
41位   Hadley Wickham R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
42位   A. Colin Cameron Microeconometrics Using Stata: Revised Edition
43位 English Edition Xavier Rival Introduction to Static Analysis: An Abstract Interpretation Perspective (The MIT Press)
44位 English Edition Ina Koys Outlook 365: As Your Personal Assistant (Short & Spicy Book 5)
45位 English Edition Mauricio Salatino Mastering JBoss Drools 6
46位 French Edition P. Souilah EXCEL VBA 2003 : Exporter les Emails Outlook dans Excel
47位 English Edition Peter Kalmström SharePoint Online from Scratch: Office 365 SharePoint from basics to advanced
48位   Antonio Gulli Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition
49位   Ankur A. Patel Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
50位   Matt Taddy Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
51位 English Edition Mike Morris Power BI: Moving Beyond the Basics of Power BI and Learning about DAX Language
52位   Maxim Lapan Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition
53位 Step by Step Developer Kenn Scribner Microsoft® Windows® Workflow Foundation Step by Step
54位 English Edition Steve McConnell Code Complete (Developer Best Practices)
55位 English Edition Adrian Venice DAX: Your Definitive Guide To LEarn And Write Dax (DAX, Big Data, Data Analytics, Business Intelligence)
56位   Rick Delorme Exam Ref 70-480: Programming in HTML5 with JavaScript and CSS3
57位   Giuseppe Bonaccorso Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
58位   Heather Adkins Building Secure and Reliable Systems: Best Practices for Designing, Implementing, and Maintaining Systems
59位 English Edition Walter L. Leite Practical Propensity Score Methods Using R
60位   Guillaume Lazar Mastering Qt 5: Create stunning cross-platform applications using C++ with Qt Widgets and QML with Qt Quick, 2nd Edition
61位   Michael Alexander Excel 2019 Bible
62位 SpringerBriefs in Optimization Francesco Archetti Bayesian Optimization and Data Science
63位   Marcus du Sautoy The Creativity Code: How Ai is Learning to Write, Paint and Think
64位   Jack Shostak SAS Programming in the Pharmaceutical Industry
65位 Springer Texts in Statistics Dennis D. D. Boos Essential Statistical Inference: Theory and Methods
66位   Boris Bogdan Valuation in Life Sciences: A Practical Guide
67位 English Edition Rafael F. V. C. … Introduction to MetaTrader 5 and Programming with MQL5 : Create your 1st Investment Robot with MQL5 step by step from ZERO.
68位 English Edition Josh Bersin Understanding HR Technology: 2019-2020 Edition: Making Sense of HR Technology For Your Company
69位   Dmitry Zinoviev Complex Network Analysis in Python: Recognize – Construct – Visualize – Analyze – Interpret
70位   Drew Neil Practical Vim: Edit Text at the Speed of Thought
71位   John Verzani Getting Started with RStudio: An Integrated Development Environment for R
72位   Martin Kleppmann Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
73位 English Edition Sterling McKinley Binge Worthy Branding: Build Customer Loyalty Using AI and Personalization Like Amazon, Netflix, and Starbucks
74位 English Edition John Ladley Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program
75位 Use R! Christian Robert Introducing Monte Carlo Methods with R
76位 Springer Texts in Statistics Jean-Michel Marin Bayesian Essentials with R
77位 English Edition Doug Brown lex & yacc
78位 English Edition Andreas C. Müller Introduction to Machine Learning with Python: A Guide for Data Scientists
79位   Rynder Roy Klomp Jira Core Workflows
80位 English Edition Trevor Hastie The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
81位   Ian Pointer Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
82位 MS Excel, MS Word, MS PowerPoint, and MS Access Er. Avnindra Kan … Microsoft Office: Top 1850+ Multiple Choice Questions Answers (MCQs) for all Examination and Interview: MS Office
83位 English Edition 倉下 忠憲 【英語版】 アリスの物語/Alice’s Tale (impress QuickBooks)
84位   Kim Falk Practical Recommender Systems
85位 English Edition Mark Moore Mastering Excel: Power Query
86位 English Edition Rynder Klomp Jira More: Apps to make your Jira Core, Service Desk, and Workflows more productive
87位 English Edition Rynder Klomp Jira Core Workflows
88位 English Edition Andrew Okungbowa Asset Accounting Configuration in SAP ERP: A Step-by-Step Guide
89位   Torsten Hothorn A Handbook of Statistical Analyses using R, Third Edition
90位 English Edition Matthew Weston Learn Microsoft PowerApps: Build customized business applications without writing any code
91位   Rounak Banik Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
92位 English Edition Ryan “elfmaster” … Learning Linux Binary Analysis
93位 The MIT Press Simon Benninga Financial Modeling
94位 The MIT Press Xavier Rival Introduction to Static Analysis: An Abstract Interpretation Perspective
95位 Studies in Corpus Linguistics Viviana Cortes Corpus-Based Research in Applied Linguistics: Studies in Honor of Doug Biber
96位   Uday Kamath Deep Learning for NLP and Speech Recognition
97位   Scott Oaks Java Performance: In-Depth Advice for Tuning and Programming Java 8, 11, and Beyond
98位   Anthony Bickof NetSuite ERP for Administrators: Learn how to install, maintain, and secure a NetSuite implementation, using the best tools and techniques
99位 English Edition Mohith Shrivastava Learning Salesforce Lightning Application Development: Build and test Lightning Components for Salesforce Lightning Experience using Salesforce DX
100位 English Edition Mohith Shrivastava Learning Salesforce Einstein: Add artificial intelligence capabilities to your business solutions with Heroku, PredictiveIO, and Force

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