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- 【文档书籍】 Applied Spectroscopy Reviews
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1967 Volume 1/1/29-98.pdf 2.9 MB
1967 Volume 1/1/131-185.pdf 2.4 MB
1967 Volume 1/1/99-130.pdf 2.1 MB
1967 Volume 1/1/1-27.pdf 1.3 MB
1967 Volume 1/1/186-187.pdf 107.6 kB
1968 Volume 1/2/289-378.pdf 3.7 MB
1968 Volume 1/2/187-235.pdf 2.7 MB
1968 Volume 1/2/237-288.pdf 2.4 MB
1968 Volume 1/2/379-432.pdf 2.2 MB
1968 Volume 2/1/69-191.pdf 6.0 MB
1968 Volume 2/1/1-67.pdf 3.3 MB
1968 Volume 2/1/a.pdf 72.9 kB
1969 Volume 2/2/193-261.pdf 3.8 MB
1969 Volume 2/2/263-351.pdf 2.7 MB
1969 Volume 2/2/a.pdf 100.7 kB
1970 Volume 3/1/153-228.pdf 3.1 MB
1970 Volume 3/1/91-142.pdf 2.7 MB
1970 Volume 3/1/1-44.pdf 2.6 MB
1970 Volume 3/1/263-325.pdf 2.6 MB
1970 Volume 3/1/45-90.pdf 2.0 MB
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- 【压缩文件】 Applied.Acoustics.Systems.Lounge.Lizard.EP.4.4.0.WIN
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MAC/Lounge Lizard EP-4.pkg 44.2 MB
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MAC/Lounge Lizard EP-4 Manual.pdf 9.1 MB
WIN/Lounge Lizard EP-4 Manual.pdf 9.1 MB
AiR Keygen/AiR Keygen.exe 78.3 kB
MAC/Uninstall Lounge Lizard EP-4.app/Contents/MacOS/Uninstall Lounge Lizard EP-4 60.5 kB
MAC/Uninstall Lounge Lizard EP-4.app/Contents/_CodeSignature/CodeResources 2.8 kB
MAC/Uninstall Lounge Lizard EP-4.app/Contents/CodeResources 1.7 kB
MAC/Uninstall Lounge Lizard EP-4.app/Contents/Resources/uninstall.sh 690 Bytes
MAC/Uninstall Lounge Lizard EP-4.app/Contents/Info.plist 616 Bytes
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- 【影视】 [FreeCoursesOnline.Me] AppliedAICourse - Applied Machine Learning Course [UPDATE ONLY]
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42.1 - Live Session on Ad-Click Prediction.mp4 2.1 GB
42.2 - Live Session on Ad-Click Prediction(contd.) and Performance Metrics.mp4 1.9 GB
56.1 - Live session on Generative Adversarial Networks (GAN).mp4 1.4 GB
All Assignments Files.zip 260.8 MB
48.17 - Text Semantics based product similarity Word2Vec(featurizing text based on semantic similarity).mp4 168.0 MB
37.4 - ML problem formulation Mapping real world to ML problem.mp4 160.6 MB
40.7 - EDAData Loading.mp4 152.3 MB
11.5 - Equation of a line (2-D), Plane(3-D) and Hyperplane (n-D), Plane Passing through origin, Normal to a Plane.mp4 121.3 MB
48.1 - Problem Statement Recommend similar apparel products in e-commerce using product descriptions and Images.mp4 118.7 MB
48.12 - Text based product similarity Converting text to an n-D vector bag of words.mp4 92.3 MB
48.24 - Deep learning based visual product similarityConvNets How to featurize an image edges, shapes, parts.mp4 68.5 MB
48.28 - Assignment-24, Apparel Recommendation.mp4 40.6 MB
41.8 - Exploratory Data Analysis Multivariate analysis of features from byte files.mp4 22.1 MB
Revision Questions.zip 5.3 MB
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~Get Your Files Here !/3. Numericals (level 1 level 2 level 3)/14. Numericals on Probability Level - 3 Solved Questions - 10.mp4 471.3 MB
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~Get Your Files Here !/2. Statistics/4. Standard Deviation Part - 2.mp4 217.8 MB
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~Get Your Files Here !/1. Probability/1. Introduction.mp4 169.9 MB
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- 【文档书籍】 Applied Strength of Materials by Joseph A. Untener .. PDF
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Applied Strength of Materials by Joseph A. Untener ...pdf 75.2 MB
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12. Traffic Sign Classification/3. Preprocessing Images.mp4 346.4 MB
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2. Installation/2. Anaconda Distribution.mp4 27.6 MB
2. Installation/2. Anaconda Distribution.vtt 3.0 kB
2. Installation/3. Jupyter Notebooks.mp4 44.0 MB
2. Installation/3. Jupyter Notebooks.vtt 6.3 kB
2. Installation/4. Text Editor.mp4 30.5 MB
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2. Installation/5. Outro.mp4 5.8 MB
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3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp4 16.0 MB
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3. Python Crash Course (Optional)/3. Variables.mp4 29.0 MB
3. Python Crash Course (Optional)/3. Variables.vtt 5.7 kB
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- 【安装包】 Applied.Acoustics.Systems.Modeling.Collection.v10.05.WIN.OSX.Incl.Keygen-AiR
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Applied.Acoustics.Systems.Modeling.Collection.v10.05.WIN.OSX.Incl/Applied.Acoustics.Systems.Modeling.Collection/Commercial Soundbanks/Installation_Readme_First.txt 381 Bytes
Applied.Acoustics.Systems.Modeling.Collection.v10.05.WIN.OSX.Incl/Applied.Acoustics.Systems.Modeling.Collection/air.nfo 4.7 kB
Applied.Acoustics.Systems.Modeling.Collection.v10.05.WIN.OSX.Incl/Applied.Acoustics.Systems.Modeling.Collection/Commercial Soundbanks/Ultra Analog VA-2/Angelicals - Effect.VA-2 Bank 14.1 kB
Applied.Acoustics.Systems.Modeling.Collection.v10.05.WIN.OSX.Incl/Applied.Acoustics.Systems.Modeling.Collection/Commercial Soundbanks/Ultra Analog VA-2/Raw - Effect.VA-2 Bank 15.9 kB
Applied.Acoustics.Systems.Modeling.Collection.v10.05.WIN.OSX.Incl/Applied.Acoustics.Systems.Modeling.Collection/Commercial Soundbanks/String Studio VS-2/Frontier 5. Lead.VS-2 Bank 16.0 kB
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Applied.Acoustics.Systems.Modeling.Collection.v10.05.WIN.OSX.Incl/Applied.Acoustics.Systems.Modeling.Collection/Commercial Soundbanks/String Studio VS-2/Frontier 4. Keys.VS-2 Bank 18.0 kB
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dorcelclub.17.12.13.alexis.brill.an.applied.student.mp4 456.8 MB
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- 【影视】 Applied Ethical Hacking and Rules of Engagement
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13 Cobalt Strike_ Operations & Development/012 Red Teaming Command and Control (C&C) - Part 5.mp4 285.7 MB
01 Crash Course_ Linux/004 Linux Basics & Commands.mp4 275.1 MB
05 Ethical Hacking 3_ Vulnerability Scanning & Analysis/004 Vulnerability Analysis in Action.mp4 272.0 MB
04 Ethical Hacking 2_ Information Gathering & Enumeration/003 Scanning with NMAP in Command Line & in Python.mp4 244.7 MB
09 Ethical Hacking 7_ Web App Pentesting (OWASP-TOP 10)/009 Damn Vulnerable Web Application Lab - Part 3.mp4 241.9 MB
02 Get Your Hands Dirty/003 Intro to Ethical Hacking Basic Concepts and Terminologies.mp4 230.6 MB
06 Ethical Hacking 4_ Exploitation, Post Exploitation and Password Attacks/014 Password Hash Crack - Part 2.mp4 229.9 MB
05 Ethical Hacking 3_ Vulnerability Scanning & Analysis/005 Second Opinion Vulnerability Scanning with NMAP NSE Scripts.mp4 227.9 MB
11 Practical Pentest with CTFs (Let's Capture The Flags)/002 Easy 1 - BLUE (Enumeration, Exploitation, Hash Dump and Impacket Framework).mp4 226.9 MB
13 Cobalt Strike_ Operations & Development/011 Red Teaming Command and Control (C&C) - Part 4.mp4 226.8 MB
09 Ethical Hacking 7_ Web App Pentesting (OWASP-TOP 10)/015 OWASP Mutillidae II Lab - Part 2.mp4 224.1 MB
04 Ethical Hacking 2_ Information Gathering & Enumeration/006 Enum with NMAP Part 1.mp4 223.4 MB
11 Practical Pentest with CTFs (Let's Capture The Flags)/006 Medium 1 - POPCORN (Dirbuster Enum, Upload Abuse, Nix PAM, DirtyCow Exploit).mp4 219.7 MB
13 Cobalt Strike_ Operations & Development/010 Red Teaming Command and Control (C&C) - Part 3.mp4 216.5 MB
09 Ethical Hacking 7_ Web App Pentesting (OWASP-TOP 10)/010 Damn Vulnerable Web Application Lab - Part 4.mp4 214.6 MB
15 MITRE ATT&CK Framework/009 Defense Evasion.mp4 201.5 MB
04 Ethical Hacking 2_ Information Gathering & Enumeration/001 Initial Reconnaissance with OSINT Framework.mp4 198.8 MB
09 Ethical Hacking 7_ Web App Pentesting (OWASP-TOP 10)/014 OWASP Mutillidae II Lab - Part 1.mp4 198.6 MB
02 Get Your Hands Dirty/007 Capture The Flags(CTF)_ HTB and others.mp4 192.4 MB
13 Cobalt Strike_ Operations & Development/002 Introduction to Red Teaming - Part 2.mp4 191.0 MB
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- 【文档书籍】 Applied Radiation and Isotopes
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2008 (Vol. 66)/Volume 66, Issues 6–7, Pages 677-1066 (June–July 2008)/IFC_IFC.pdf 5.4 MB
2005/Volume 62/Volume 62, Issue 3, Pages 383-524 (March 2005)/479_499.pdf 4.9 MB
2008 (Vol. 66)/Volume 66, Issue 5, Pages 561-676 (May 2008)/593_605.pdf 4.2 MB
2009 (Vol. 67)/Volume 67, Issue 4, Pages 501-664 (April 2009)/654_663.pdf 4.0 MB
2010 (Vol. 68)/Volume 68, Issue 9, Pages 1595-1868 (September 2010)/1798_1808.pdf 3.6 MB
2008 (Vol. 66)/Volume 66, Issue 9, Pages 1175-1274 (September 2008)/1262_1274.pdf 3.4 MB
2001/Volume 54/Volume 54, Issue 1, Pages 1-188 (15 January 2001)/153_173.pdf 3.1 MB
2009 (Vol. 67)/Volume 67, Issues 7–8, Supplement, Pages S1-S380 (July 2009)/S214_S217.pdf 3.1 MB
2011 (Vol. 69)/Volume 69, Issue 2, Pages 289-558 (February 2011)/463_474.pdf 3.0 MB
2010 (Vol. 68)/Volume 68, Issues 4–5, Pages 517-970 (April–May 2010)/561_565.pdf 3.0 MB
2009 (Vol. 67)/Volume 67, Issue 10, Pages 1743-1964 (October 2009)/1769_1774.pdf 2.9 MB
2009 (Vol. 67)/Volume 67, Issue 9, Pages 1541-1742 (September 2009)/1629_1637.pdf 2.9 MB
2011 (Vol. 69)/Volume 69, Issue 10, Pages 1323-1584 (October 2011)/1490_1505.pdf 2.9 MB
2010 (Vol. 68)/Volume 68, Issue 11, Pages 2031-2116 (November 2010)/2033_2116.pdf 2.9 MB
2010 (Vol. 68)/Volume 68, Issue 9, Pages 1595-1868 (September 2010)/1822_1831.pdf 2.4 MB
2011 (Vol. 69)/Volume 69, Issue 5, Pages 717-826 (May 2011)/732_743.pdf 2.4 MB
2009 (Vol. 67)/Volume 67, Issue 6, Pages 983-1156 (June 2009)/1033_1041.pdf 2.3 MB
2009 (Vol. 67)/Volume 67, Issue 12, Pages 2069-2150 (December 2009)/IFC_IFC.pdf 2.2 MB
2009 (Vol. 67)/Volume 67, Issue 3, Pages 369-500 (March 2009)/IFC_IFC.pdf 2.2 MB
2007 (Vol. 65)/Volume 65, Issue 5, Pages 469-634 (May 2007)/488_503.pdf 2.2 MB
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- 【影视】 [CourseClub.NET] Coursera - Applied Machine Learning in Python
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003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB
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