{"id":10520,"date":"2019-12-26T07:06:46","date_gmt":"2019-12-26T07:06:46","guid":{"rendered":"http:\/\/blog.bachi.net\/?p=10520"},"modified":"2020-05-02T18:43:10","modified_gmt":"2020-05-02T18:43:10","slug":"the-morpheus-tutorials","status":"publish","type":"post","link":"https:\/\/blog.bachi.net\/?p=10520","title":{"rendered":"The Morpheus Tutorials"},"content":{"rendered":"<p><a href=\"https:\/\/www.linkedin.com\/in\/cedric-m%C3%B6ssner-6b981b186\/\">LinkedIn: Cedric M\u00f6ssner<\/a><br \/>\n<a href=\"https:\/\/www.udemy.com\/user\/cedric-mossner\/\">Udemy: Cedric M\u00f6ssner<\/a><br \/>\n<a href=\"https:\/\/www.e-zigurat.com\/innovation-school\/cedric-mossner\/\">Zigurat: Cedric M\u00f6ssner<\/a><br \/>\n<a href=\"https:\/\/www.btc-echo.de\/academy\/ausbilder\/cedric\/\">BTC-ECHO: Cedric M\u00f6ssner<\/a><\/p>\n<h1>Verzeichnis<\/h1>\n<h3>Machine Learning und K\u00fcnstliche Intelligenz<\/h3>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLNmsVeXQZj7qoIUw0MBYQ9qJffZAVdRWC\">Machine Learning und K\u00fcnstliche Intelligenz<\/a><\/p>\n<ul>\n<li>Machine Learning #1 &#8211; Einleitung und Infos zur Serie<\/li>\n<li>Machine Learning #2 &#8211; Grundlagen #1 &#8211; Die Daten<\/li>\n<li>Machine Learning #3 &#8211; Grundlagen #2 &#8211; Konzept vs Klassifikation vs Regression<\/li>\n<li>Machine Learning #4 &#8211; Grundlagen #3 &#8211; Deduktion und Induktion<\/li>\n<li>Machine Learning #5 &#8211; Grundlagen #4 &#8211; \u00dcberwachtes und Un\u00fcberwachtes Lernen<\/li>\n<li>Machine Learning #6 &#8211; Grundlagen #5 &#8211; Fehlerminimierung<\/li>\n<li>Machine Learning #7 &#8211; Grundlagen #6 &#8211; Gradientenabstieg<\/li>\n<li>Machine Learning #8 &#8211; Grundlagen #7 &#8211; Overfitting<\/li>\n<li>Machine Learning #9 &#8211; Grundlagen #8 &#8211; Abstandsma\u00dfe und Levenshtein Distanz<\/li>\n<li>Machine Learning #10 &#8211; Instance based Learning #1 &#8211; k-Nearest Neighbours<\/li>\n<li>Machine Learning #11 &#8211; Instance based Learning #2 &#8211; k-Nearest Neighbours in Zahlen<\/li>\n<li>Machine Learning #12 &#8211; Instance based Learning #3 &#8211; gewichteter k-Nearest Neighbours<\/li>\n<li>Machine Learning #13 &#8211; Instance based Learning #4 &#8211; Das Konzept &#8220;Case Based Reasoning&#8221;<\/li>\n<li>Machine Learning #14 &#8211; Concept Learning aka Induktives Lernen #1<\/li>\n<li>Machine Learning #15 &#8211; Concept Learning aka Induktives Lernen #2<\/li>\n<li>Machine Learning #16 &#8211; Un\u00fcberwachtes Lernen #1 &#8211; k-Means Clustering<\/li>\n<li>Machine Learning #17 &#8211; Un\u00fcberwachtes Lernen #2 &#8211; Fuzzy k-Means Clustering<\/li>\n<li>Machine Learning #18 &#8211; Un\u00fcberwachtes Lernen #3 &#8211; Dendrogramme<\/li>\n<li>Machine Learning #19 &#8211; Un\u00fcberwachtes Lernen #4 &#8211; Cobweb #1<\/li>\n<li>Machine Learning #20 &#8211; Un\u00fcberwachtes Lernen #5 &#8211; Cobweb #2<\/li>\n<li>Machine Learning #21 &#8211; Bayes Lernen #1 &#8211; Intro<\/li>\n<li>Machine Learning #22 &#8211; Bayes Lernen #2 &#8211; Das Bayes Theorem<\/li>\n<li>Machine Learning #23 &#8211; Bayes Lernen #3 &#8211; MAP &#8211; Die Maximum A Posteriori Hypothese<\/li>\n<li>Machine Learning #24 &#8211; Bayes Lernen #4 &#8211; Konzeptlernen<\/li>\n<li>Machine Learning #25 &#8211; Bayes Lernen #5 &#8211; Funktionslernen<\/li>\n<li>Machine Learning #26 &#8211; Bayes Lernen #6 &#8211; Optimaler Bayes<\/li>\n<li>Machine Learning #27 &#8211; Bayes Lernen #7 &#8211; Der Naive Bayes-Klassifikator<\/li>\n<li>Machine Learning #28 &#8211; Bayes Lernen #8 &#8211; Sch\u00e4tzen von Werten<\/li>\n<li>Machine Learning #29 &#8211; Bayes&#8217;sche Netze<\/li>\n<li>Machine Learning #30 &#8211; Bayes&#8217;sche Netze #2 &#8211; Bedingte Unabh\u00e4ngigkeit #1<\/li>\n<li>Machine Learning #31 &#8211; Bayes&#8217;sche Netze #3 &#8211; Bedingte Unabh\u00e4ngigkeit #2<\/li>\n<li>Machine Learning #32 &#8211; Bayes&#8217;sche Netze #4 &#8211; D-Separation<\/li>\n<li>Machine Learning #33 &#8211; Objektorientierte Probabilistisch Relationale Modelle<\/li>\n<li>Machine Learning #34 &#8211; Objektorientierte Probabilistisch Relationale Modelle &#8211; Parameter Sch\u00e4tzung<\/li>\n<li>Machine Learning #35 &#8211; Objektorientierte Probabilistisch Relationale Modelle &#8211; Strukturbestimmung<\/li>\n<li>Machine Learning #36 &#8211; Der EM-Algorithmus<\/li>\n<li>Machine Learning #37 &#8211; Entscheidungsb\u00e4ume #1 &#8211; Decision Trees<\/li>\n<li>Machine Learning #38 &#8211; Entscheidungsb\u00e4ume #2 &#8211; Der ID3-Algorithmus<\/li>\n<li>Machine Learning #39 &#8211; Entscheidungsb\u00e4ume #3 &#8211; Entropie und Informationsgewinn<\/li>\n<li>Machine Learning #40 &#8211; Entscheidungsb\u00e4ume #4 &#8211; Reduced Error Pruning<\/li>\n<li>Machine Learning #41 &#8211; Entscheidungsb\u00e4ume #5 &#8211; Attribute mit vielen Werten und kontinuierliche Werte<\/li>\n<li>Machine Learning #42 &#8211; Entscheidungsb\u00e4ume #6 &#8211; Random Forests<\/li>\n<li>Machine Learning #43 &#8211; Diskrete Markov Modelle<\/li>\n<li>Machine Learning #44 &#8211; Hidden Markov Modelle<\/li>\n<li>Machine Learning #45 &#8211; HMMs #2 &#8211; Das Evaluationsproblem &#8211; Forward Backward Algorithmus<\/li>\n<li>Machine Learning #46 &#8211; HMMs #3 &#8211; Das Dekodierungsproblem und der Viterbi Algorithmus<\/li>\n<li>Machine Learning #47 &#8211; HMMs #4 &#8211; Der Baum Welch Algorithmus<\/li>\n<li>Machine Learning #48 &#8211; HMMs #5 &#8211; Der Baum Welch Algorithmus #2<\/li>\n<li>Machine Learning #49 &#8211; HMMs #6 &#8211; Typen<\/li>\n<li>Machine Learning #50 &#8211; Analytisches Lernen aka Deduktives Lernen &#8211; Einleitung<\/li>\n<li>Machine Learning #51 &#8211; Analytisches Lernen #2 &#8211; Explanation Based Learning<\/li>\n<li>Machine Learning #52 &#8211; Analytisches Lernen #3 &#8211; Knowledge Based Neural Networks<\/li>\n<li>Machine Learning #53 &#8211; Markov Logik Netze #1 &#8211; Probabilstische Graphische Modelle<\/li>\n<li>Machine Learning #54 &#8211; Markov Logik Netze #2<\/li>\n<li>Machine Learning #55 &#8211; Markov Logik Netze #3 &#8211; Der MAP Algorithmus<\/li>\n<li>Machine Learning #56 &#8211; Markov Logik Netze &#8211; Generatives Lernen<\/li>\n<li>Machine Learning #57 &#8211; Evolution\u00e4re Algorithmen #1 &#8211; Der Gundalgorithmus<\/li>\n<li>Machine Learning #58 &#8211; Evolution\u00e4re Algorithmen #2 &#8211; Mutationen<\/li>\n<li>Machine Learning #59 &#8211; Evolution\u00e4re Algorithmen #3 &#8211; Rekombinationen<\/li>\n<li>Machine Learning #60 &#8211; Evolution\u00e4re Algorithmen #4 &#8211; Selektion<\/li>\n<li>Machine Learning #61 &#8211; Evolution\u00e4re Algorithmen #5 &#8211; Fitness Based Selection<\/li>\n<li>Machine Learning #62 &#8211; Evolution\u00e4re Algorithmen #6 &#8211; Ranking Based und Tournament Selection<\/li>\n<li>Machine Learning #63 &#8211; Reinforcement Learning #1 &#8211; Lernen durch Bestrafung<\/li>\n<li>Machine Learning #64 &#8211; Reinforcement Learning #2 &#8211; Die State Value Function<\/li>\n<li>Machine Learning #65 &#8211; Reinforcement Learning #3 &#8211; Q-Learning<\/li>\n<li>Machine Learning #66 &#8211; Reinforcement Learning #4 &#8211; Living Reward und Exploration<\/li>\n<li>Machine Learning #67 &#8211; Reinforcement Learning #5 &#8211; TD-Learning und SARSA<\/li>\n<li>Machine Learning #68 &#8211; Reinforcement Learning #6 &#8211; Options und Semi-MDP<\/li>\n<li>Machine Learning #69 &#8211; Reinforcement Learning #7 &#8211; Hierarchical Abstract Machines [DEUTSCH\/GERMAN]<\/li>\n<li>Machine Learning #70 &#8211; Support Vector Machines #1 [DEUTSCH\/GERMAN]<\/li>\n<li>Machine Learning #71 &#8211; Support Vector Machines #2 &#8211; Die Lagrange Methode<\/li>\n<li>Machine Learning #72 &#8211; Support Vector Machines #3 &#8211; Duales Optimierungsproblem<\/li>\n<li>Machine Learning #73 &#8211; Support Vector Machines #4 &#8211; Soft Margin<\/li>\n<li>Machine Learning #74 &#8211; Support Vector Machines #5 &#8211; Nicht lineare SVM und der Kernel Trick<\/li>\n<li>Machine Learning #75 &#8211; Semi Supervised Learning [DEUTSCH\/GERMAN]<\/li>\n<li>Machine Learning #76 &#8211; Semi Supervised Learning #2 &#8211; Self Learning [DEUTSCH\/GERMAN]<\/li>\n<li>Machine Learning #77 &#8211; Semi Supervised Learning #3 &#8211; Co-Training<\/li>\n<li>Machine Learning #78 &#8211; Semi Supervised Learning #4 &#8211; Unlabeling und SVMlight<\/li>\n<li>Machine Learning #79 &#8211; Semi Supervised Learning #5 &#8211; Aktives Lernen<\/li>\n<li>Neuronale Netze #1 &#8211; Perzeptronen (Machine Learning Playlist #80)<\/li>\n<li>Neuronale Netze #2 &#8211; Perzeptron Training (Machine Learning Playlist #81)<\/li>\n<li>Neuronale Netze #3 &#8211; Perzeptron Training Varianten (Machine Learning Playlist #82)<\/li>\n<li>Neuronale Netze #4 &#8211; Die Phi \/ Aktivierungs &#8211; Funktion (Machine Learning Playlist #83)<\/li>\n<li>Neuronale Netze #5 &#8211; Mean Squared Error (Machine Learning Playlist #84)<\/li>\n<li>Neuronale Netze #6 &#8211; Multiclass Problem der Perzeptronen (Machine Learning Playlist #85)<\/li>\n<li>Neuronale Netze #7 &#8211; Feed-Forward Neuronale Netze (Machine Learning Playlist #86)<\/li>\n<li>Neuronale Netze #8 &#8211; Backpropagation (Machine Learning Playlist #87)<\/li>\n<li>Neuronale Netze #9 &#8211; Backprop: Rechnung der Output Neuronen (Machine Learning Playlist #88)<\/li>\n<li>Neuronale Netze #9.2 &#8211; Backpropagation #3 &#8211; Rechnung der anderen Neuronen (Machine Learning #89)<\/li>\n<li>Neuronale Netze #10 &#8211; Die Softmax-Aktivierung (Machine Learning #90)<\/li>\n<li>Neuronale Netze #11 &#8211; Cross Entropy Error (Machine Learning #91)<\/li>\n<li>Neuronale Netze #12 &#8211; \u00dcberspringen von Beispielen (Machine Learning #92)<\/li>\n<li>Neuronale Netze #13 &#8211; dynamische Lernraten (Machine Learning #93)<\/li>\n<li>Neuronale Netze #14 &#8211; Initiale Gewichte und Offsets (Machine Learning #94)<\/li>\n<li>Neuronale Netze #15 &#8211; Quickprop (Machine Learning #95)<\/li>\n<li>Neuronale Netze #16 &#8211; Weight Elimination und Weight Decay (Machine Learning #96)<\/li>\n<li>Neuronale Netze #17 &#8211; Optimal Brain Damage (Machine Learning #97)<\/li>\n<li>Neuronale Netze #18 &#8211; Cascade Correlation (Machine Learning #98)<\/li>\n<li>Neuronale Netze #19 &#8211; Deep Neural Networks (Machine Learning #99)<\/li>\n<li>Neuronale Netze #20 &#8211; Hopfield Netze (Machine Learning #100)<\/li>\n<li>Neuronale Netze #21 &#8211; (Restricted) Boltzmann Machines (Machine Learning #101)<\/li>\n<li>Neuronale Netze #22 &#8211; Cascaded Restricted Boltzmann Machines (Machine Learning #102)<\/li>\n<li>Neuronale Netze #23 &#8211; Autoencoder (Machine Learning #103)<\/li>\n<li>Neuronale Netze #24 &#8211; Denoising Autoencoder (Machine Learning #104)<\/li>\n<li>Neuronale Netze #25 &#8211; Bottleneck Features (Machine Learning #105)<\/li>\n<li>Neuronale Netze #26 &#8211; Reinforcement Learning &#8211; Lernen f\u00fcr Spiele (Machine Learning #106)<\/li>\n<li>Neuronale Netze #27 &#8211; Reinforcement Learning &#8211; Monte Carlo Search Trees (Machine Learning #107)<\/li>\n<li>Neuronale Netze #28 &#8211; Convolutional Neural Networks f\u00fcr Bilderkennung (Machine Learning #108)<\/li>\n<li>Neuronale Netze #29 &#8211; Rekurrente Neuronale Netze (Machine Learning #109)<\/li>\n<li>Neuronale Netze #30 &#8211; Linear Short Term Memory (Machine Learning #110)<\/li>\n<li>Neuronale Netze #31 &#8211; Generative Adversarial Neuronale Netze (Machine Learning #111)<\/li>\n<\/ul>\n<h3>Neuronale Netze<\/h3>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLNmsVeXQZj7p-BX9gVfz24TFGyy44wM_a\">Neuronale Netze<\/a><\/p>\n<ul>\n<li>Neuronale Netze #1 &#8211; Perzeptronen (Machine Learning Playlist #80)<\/li>\n<li>Neuronale Netze #2 &#8211; Perzeptron Training (Machine Learning Playlist #81)<\/li>\n<li>Neuronale Netze #3 &#8211; Perzeptron Training Varianten (Machine Learning Playlist #82)<\/li>\n<li>Neuronale Netze #4 &#8211; Die Phi \/ Aktivierungs &#8211; Funktion (Machine Learning Playlist #83)<\/li>\n<li>Neuronale Netze #5 &#8211; Mean Squared Error (Machine Learning Playlist #84)<\/li>\n<li>Neuronale Netze #6 &#8211; Multiclass Problem der Perzeptronen (Machine Learning Playlist #85)<\/li>\n<li>Neuronale Netze #7 &#8211; Feed-Forward Neuronale Netze (Machine Learning Playlist #86)<\/li>\n<li>Neuronale Netze #8 &#8211; Backpropagation (Machine Learning Playlist #87)<\/li>\n<li>Neuronale Netze #9 &#8211; Backprop: Rechnung der Output Neuronen (Machine Learning Playlist #88)<\/li>\n<li>Neuronale Netze #9.2 &#8211; Backpropagation #3 &#8211; Rechnung der anderen Neuronen (Machine Learning #89)<\/li>\n<li>Neuronale Netze #10 &#8211; Die Softmax-Aktivierung (Machine Learning #90)<\/li>\n<li>Neuronale Netze #11 &#8211; Cross Entropy Error (Machine Learning #91)<\/li>\n<li>Neuronale Netze #12 &#8211; \u00dcberspringen von Beispielen (Machine Learning #92)<\/li>\n<li>Neuronale Netze #13 &#8211; dynamische Lernraten (Machine Learning #93)<\/li>\n<li>Neuronale Netze #14 &#8211; Initiale Gewichte und Offsets (Machine Learning #94)<\/li>\n<li>Neuronale Netze #15 &#8211; Quickprop (Machine Learning #95)<\/li>\n<li>Neuronale Netze #16 &#8211; Weight Elimination und Weight Decay (Machine Learning #96)<\/li>\n<li>Neuronale Netze #17 &#8211; Optimal Brain Damage (Machine Learning #97)<\/li>\n<li>Neuronale Netze #18 &#8211; Cascade Correlation (Machine Learning #98)<\/li>\n<li>Neuronale Netze #19 &#8211; Deep Neural Networks (Machine Learning #99)<\/li>\n<li>Neuronale Netze #20 &#8211; Hopfield Netze (Machine Learning #100)<\/li>\n<li>Neuronale Netze #21 &#8211; (Restricted) Boltzmann Machines (Machine Learning #101)<\/li>\n<li>Neuronale Netze #22 &#8211; Cascaded Restricted Boltzmann Machines (Machine Learning #102)<\/li>\n<li>Neuronale Netze #23 &#8211; Autoencoder (Machine Learning #103)<\/li>\n<li>Neuronale Netze #24 &#8211; Denoising Autoencoder (Machine Learning #104)<\/li>\n<li>Neuronale Netze #25 &#8211; Bottleneck Features (Machine Learning #105)<\/li>\n<li>Neuronale Netze #26 &#8211; Reinforcement Learning &#8211; Lernen f\u00fcr Spiele (Machine Learning #106)<\/li>\n<li>Neuronale Netze #27 &#8211; Reinforcement Learning &#8211; Monte Carlo Search Trees (Machine Learning #107)<\/li>\n<li>Neuronale Netze #28 &#8211; Convolutional Neural Networks f\u00fcr Bilderkennung (Machine Learning #108)<\/li>\n<li>Neuronale Netze #29 &#8211; Rekurrente Neuronale Netze (Machine Learning #109)<\/li>\n<li>Neuronale Netze #30 &#8211; Linear Short Term Memory (Machine Learning #110)<\/li>\n<li>Neuronale Netze #31 &#8211; Generative Adversarial Neuronale Netze (Machine Learning #111)<\/li>\n<li>Wie KIs entwickelt werden &#8211; Beispiel: Lungenentz\u00fcndung erkennen mit R\u00f6ntgenbildern<\/li>\n<\/ul>\n<h3>Softwareentwicklung<\/h3>\n<ul>\n<li>Programmieren Lernen &#8211; Lerne alle Sprachen in einer Serie<\/li>\n<li>Clean Code<\/li>\n<li>Softwareengineering &#8211; Wie entwickelt man Software<\/li>\n<li>UML Tutorial Deutsch &#8211; Unified Modelling Language<\/li>\n<li>Git und Github Tutorials Deutsch<\/li>\n<li>Deep Learning Studio Tutorial &#8211; Neuronale Netze ohne Programmierung erstellen<\/li>\n<\/ul>\n<h3>Theoretische Informatik<\/h3>\n<ul>\n<li>Machine Learning und K\u00fcnstliche Intelligenz<\/li>\n<li>Kryptographie<\/li>\n<li>Netzwerktechnik<\/li>\n<li>Logik Tutorial<\/li>\n<li>Neuronale Netze<\/li>\n<li>Lambda Kalk\u00fcl<\/li>\n<li>Graphen, Grammatiken und Automaten<\/li>\n<li>Programmieren Lernen &#8211; Lerne alle Sprachen in einer Serie<\/li>\n<li>Bin\u00e4re Mathematik<\/li>\n<\/ul>\n<h3>Sicherheit, Ethical Hacking, Anonymit\u00e4t und Linux<\/h3>\n<ul>\n<li>IT-Sicherheit und Hacken f\u00fcr Fortgeschrittene<\/li>\n<li>Linux Tutorial<\/li>\n<li>Hacken lernen f\u00fcr Anf\u00e4nger deutsch\/german<\/li>\n<li>Web Anwendungen hacken Tutorial Deutsch<\/li>\n<li>Bitcoin, die Blockchain und Kryptow\u00e4hrungen einfach erkl\u00e4rt und praktisch angewandt<\/li>\n<li>Wireshark Tutorial Deutsch<\/li>\n<li>Hacken lernen mit Metasploit<\/li>\n<li>Hacken und Penetrationtesting<\/li>\n<li>Kryptographie<\/li>\n<li>Anonymit\u00e4t im Internet<\/li>\n<li>Windows 10 Tutorial &#8211; Kommandozeile und mehr<\/li>\n<li>Hacken mit Python<\/li>\n<li>Linux Distributionen &#8211; Vergleich und News<\/li>\n<li>Zed Attack Proxy ZAP Tutorial Deutsch<\/li>\n<li>Bash Tutorial<\/li>\n<li>Git und Github Tutorials Deutsch<\/li>\n<li>CTF Hacking Challenges Walkthrough<\/li>\n<li>Investieren in Kryptow\u00e4hrungen<\/li>\n<li>Serveradministration<\/li>\n<li>Hacking Challenges<\/li>\n<li>Netzsicherheit &#8211; IT Security in Netzwerken<\/li>\n<\/ul>\n<h1>Inhalt<\/h1>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLNmsVeXQZj7rylgyThgUldHG8KE6Nbc1O\">Kotlin Tutorial Deutsch f\u00fcr Anf\u00e4nger<\/a><\/p>\n<ul>\n<li>Kotlin Tutorial #1 Einleitung und Installation<\/li>\n<li>Kotlin Tutorial #2 &#8211; Die IDE einrichten<\/li>\n<li>Kotlin Tutorial #3 &#8211; Variablen und Konstanten<\/li>\n<li>Kotlin Tutorial #4 &#8211; Zahlen<\/li>\n<li>Kotlin Tutorial #5 &#8211; Buchstaben<\/li>\n<li>Kotlin Tutorial #6 &#8211; Strings<\/li>\n<li>Kotlin Tutorial #7 &#8211; Arrays<\/li>\n<li>Kotlin Tutorial #8 &#8211; if Abfragen<\/li>\n<li>Kotlin Tutorial #9 &#8211; Booleans<\/li>\n<li>Kotlin Tutorial #10 &#8211; For Schleifen f\u00fcr Arrays<\/li>\n<li>Kotlin Tutorial #11 &#8211; L\u00f6sung zur \u00dcbung Caesar Cipher<\/li>\n<li>Kotlin Tutorial #12 &#8211; While und Do While Schleifen<\/li>\n<li>Kotlin Tutorial #13 &#8211; \u00dcbung &#8211; Das Maximum eines Arrays<\/li>\n<li>Kotlin Tutorial #14 &#8211; \u00dcbung &#8211; Fakult\u00e4t berechnen<\/li>\n<li>Kotlin Tutorial #15 &#8211; Mehrdimensionale Arrays<\/li>\n<li>Kotlin Tutorial #16 &#8211; User Input<\/li>\n<li>Kotlin Tutorial #17 &#8211; \u00dcbung Integer Overflow<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #18 &#8211; Maybe Typen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #20 &#8211; Unsigned Typen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #19 &#8211; if not null else<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #21 &#8211; Zuweisungen mit if Anweisungen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #22 &#8211; Nullable Booleans<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #23 Variablen swappen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #24 &#8211; Typecasts bei grundlegenden Typen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #25 &#8211; String Templates<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #26 &#8211; Break und Continue<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #27 Ranges<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #28 &#8211; Foreach Schleifen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #29 &#8211; For Schleifen mit Indizes<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #30 &#8211; Pattern Matching mit when<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #31 &#8211; \u00dcbung mit Modulo<\/li>\n<li>Kotlin Tutorial #32 &#8211; Funktionen<\/li>\n<li>Kotlin Tutorial #33 &#8211; Parameter<\/li>\n<li>Kotlin Tutorial #34 &#8211; R\u00fcckgabewerte mit return<\/li>\n<li>Kotlin Tutorial #35 &#8211; Rekursion<\/li>\n<li>Kotlin Tutorial #36 &#8211; \u00dcbung: Fakult\u00e4t<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #37 &#8211; Default Parameter<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #38 &#8211; Einzeilige Funktionen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #39 &#8211; \u00dcbung &#8211; Abs<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #40 &#8211; \u00dcbung &#8211; Summe \u00fcber ein Array<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #41 &#8211; \u00dcbung &#8211; Sinus von Hand berechnen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #42 &#8211; \u00dcbung &#8211; Buchstaben ersetzen<\/li>\n<li>Kotlin Tutorial #43 &#8211; Klassen<\/li>\n<li>Kotlin Tutorial #44 &#8211; Methoden und this<\/li>\n<li>Kotlin Tutorial #45 &#8211; Konstruktoren<\/li>\n<li>Kotlin Tutorial #46 &#8211; Vererbung<\/li>\n<li>Kotlin Tutorial #47 &#8211; Zugriffsmodifikatoren<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #48 &#8211; Getter und Setter<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #49 &#8211; Init Bl\u00f6cke<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #50 &#8211; Sekund\u00e4re Konstruktoren<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #51 &#8211; \u00dcbung zu Vererbung<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #52 &#8211; Overrides<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #53 &#8211; Auf die Parent Funktion zugreifen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #54 &#8211; Abstrakte Klassen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #55 &#8211; Interfaces<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #56 &#8211; Mehrfachvererbung<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #57 &#8211; TypeCasts<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #58 &#8211; TypeCasts bei nullable Typen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #59 lateinit<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #60 &#8211; Extensions<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #61 &#8211; Lambda Funktionen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #62 &#8211; Arrays von speziellen Typen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #62 &#8211; Listen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #63 &#8211; Elemente holen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #64 &#8211; Elemente hinzuf\u00fcgen und l\u00f6schen<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #65 &#8211; Reverse, Partition, Slice und Chunked<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #66 &#8211; Take und Drop<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #67 &#8211; Sortieren<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #68 &#8211; Map<\/li>\n<li>Kotlin f\u00fcr alle Tutorial #69 Paare Pairs<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLNmsVeXQZj7qShNeVpdDAQedIq2n8BvqC\">Android Tutorials Deutsch<\/a><\/p>\n<ul>\n<li>Android #1 &#8211; Die erste App im Androidstudio und Emulator Device erstellen<\/li>\n<li>Android Tutorial #1.1 &#8211; Installation von Android Studio auf Linux<\/li>\n<li>Android #2 &#8211; \u00dcberblick<\/li>\n<li>Android #3 &#8211; States einer Activity<\/li>\n<li>Android #4 &#8211; String Ressourcen<\/li>\n<li>Android #5 &#8211; Das Interface in Java schreiben<\/li>\n<li>Android #6 &#8211; Attribute f\u00fcr Widgets<\/li>\n<li>Android #7 &#8211; anordnen im Relative Layout<\/li>\n<li>Android #8 &#8211; Eventhandling mit OnclickListener<\/li>\n<li>Android #9 &#8211; Lange Klicks mit OnLongClick<\/li>\n<li>Android #10 &#8211; EditTexts &#8211; ein BMI Rechner Beispiel<\/li>\n<li>Android #11 &#8211; einfache Gesten<\/li>\n<li>Android #12 &#8211; weitere Gesten<\/li>\n<li>Android #13 &#8211; Geschwindigkeit von Move-Gesten<\/li>\n<li>Android #14 &#8211; Multitouch-Gesten<\/li>\n<li>Android #15 &#8211; Fragments<\/li>\n<li>Android #16 &#8211; Actionbar und Toasts ausgeben<\/li>\n<li>Android #17 &#8211; Intents und neue Activities<\/li>\n<li>Android #18 &#8211; Extras im Intent<\/li>\n<li>Android #19 &#8211; Broadcast Intents<\/li>\n<li>Android #20 &#8211; Logging<\/li>\n<li>Android #21 &#8211; Dialoge<\/li>\n<li>Android #22 &#8211; Mehr zu Dialogen<\/li>\n<li>Android #23 &#8211; Der Intent Service<\/li>\n<li>Android #24 &#8211; Bound Services<\/li>\n<li>Android #25 &#8211; Multithreading und Handler<\/li>\n<li>Android #26 &#8211; Positionsbestimmung<\/li>\n<li>Android #27 &#8211; SMS verschicken<\/li>\n<li>Android #28 &#8211; Notifications<\/li>\n<li>Android #29 &#8211; Widgets<\/li>\n<li>Android #30 &#8211; Email<\/li>\n<li>Android #31 &#8211; Anrufe<\/li>\n<li>Android #32 &#8211; Ver\u00f6ffentlichung und Exportieren<\/li>\n<li>Android #33 &#8211; Arbeiten mit der Zwischenablage<\/li>\n<li>Android #34 &#8211; Mikrofon aufnehmen<\/li>\n<li>Android #35 &#8211; Wiedergabe von Audio<\/li>\n<li>Android Tutorial #36 &#8211; Sprache zu Text \/ Spracherkennung<\/li>\n<li>Android Tutorial #37 &#8211; Fragmente dynamisch hinzuf\u00fcgen<\/li>\n<li>Android Tutorial #38 &#8211; Fragmente dynamisch ersetzen<\/li>\n<li>Android Tutorial #39 &#8211; Networking<\/li>\n<li>Android Tutorial #40 &#8211; per Swipe das Fragment wechseln<\/li>\n<li>Android Tutorial #41 &#8211; Tabs in der Actionbar<\/li>\n<li>Android Tutorial #42 &#8211; RecyclerView #1<\/li>\n<li>Android Tutorial #43 &#8211; RecyclerView #2 und CardView<\/li>\n<li>Android Tutorial #44 &#8211; FloatingButtons<\/li>\n<li>Android Tutorial #45 &#8211; Camera 2 &#8211; Die neue Kamera und auf die SD-Karte schreiben<\/li>\n<li>Android Tutorial #46 &#8211; AppLauncher \/ ein eigener Home Screen<\/li>\n<li>Android Tutorial #47 &#8211; Die Rechteabfrage f\u00fcr API 23 bzw. Android 6 und aufw\u00e4rts<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLNmsVeXQZj7rNukSNOVkUnNdhKNZ4sNfA\">Coding Challenges<\/a><\/p>\n<ul>\n<li>Coding Challenge #1 &#8211; Einarbeitung<\/li>\n<li>Coding Challenge #1 &#8211; L\u00f6sung<\/li>\n<li>Coding Challenge #2 &#8211; Ein Element finden<\/li>\n<li>Coding Challenge #2 &#8211; L\u00f6sung &#8211; Ein Element finden<\/li>\n<li>Coding Challenge #3 &#8211; Das k-te Maximum<\/li>\n<li>Coding Challenge #3 &#8211; L\u00f6sung &#8211; k-tes Maximum<\/li>\n<li>Coding Challenge #4 &#8211; Listen rotieren<\/li>\n<li>Coding Challenge #4 &#8211; L\u00f6sung &#8211; Listen rotieren<\/li>\n<li>Coding Challenge #5 &#8211; Postfixnotation evaluieren<\/li>\n<li>Coding Challenge #5 &#8211; L\u00f6sung &#8211; Postfix Notation Evaluieren<\/li>\n<li>Coding Challenge #6 &#8211; Dezimal in Bin\u00e4r umwandeln<\/li>\n<li>Coding Challenge #6 &#8211; L\u00f6sung &#8211; Dezimal in Bin\u00e4r<\/li>\n<li>Coding Challenge #7 &#8211; 2Sum<\/li>\n<li>Coding Challenge #7 &#8211; L\u00f6sung &#8211; 2Sum<\/li>\n<li>Coding Challenge #8 &#8211; 4Sum<\/li>\n<li>Die Hacking und Coding Challenges &#8211; das neue Interface<\/li>\n<li>Coding Challenge #8 &#8211; L\u00f6sung &#8211; 4Sum<\/li>\n<li>Coding Challenge #9 &#8211; 2Sum Closest<\/li>\n<li>Coding Challenge #9 &#8211; L\u00f6sung &#8211; 2Sum-Closest<\/li>\n<li>Coding Challenge #10 &#8211; String in Float umwandeln<\/li>\n<li>Coding Challenge #10 &#8211; L\u00f6sung &#8211; String to Float<\/li>\n<li>Coding Challenge #11 &#8211; Klammern validieren<\/li>\n<li>Coding Challenge #11 &#8211; L\u00f6sung &#8211; Klammern validieren<\/li>\n<li>Coding Challenge #12 &#8211; Minimale L\u00e4nge eines Unterarrays<\/li>\n<li>Coding Challenge #12 &#8211; L\u00f6sung &#8211; Minimale L\u00e4nge eines Unterarrays<\/li>\n<li>Coding Challenge #13 &#8211; Mergen von Listen<\/li>\n<li>Coding Challenge #13 L\u00f6sung Mergen von Listen<\/li>\n<li>Coding Challenge #14 &#8211; Mergen von Intervallen<\/li>\n<li>Coding Challenge #14 &#8211; L\u00f6sung &#8211; Mergen von Intervallen<\/li>\n<li>Das Challenge Interface 2.0 und Coding Challenge #15 &#8211; Palindrome<\/li>\n<li>Coding Challenge #15 &#8211; L\u00f6sung &#8211; Palindrome<\/li>\n<li>Coding Challenge #16 &#8211; L\u00e4ngste Zahlenfolge<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLNmsVeXQZj7q7G2O9uUDqcvD31ixbLPsU\">Hacking Challenges<\/a><\/p>\n<ul>\n<li>Hacking Challenge sponsored by HK Hosting und unser Discord-Server<\/li>\n<li>Aufl\u00f6sung des Gewinnspiels<\/li>\n<li>HACKING CHALLENGE 0x02<\/li>\n<li>Aufl\u00f6sung der Hacking Challenge 0x02<\/li>\n<li>Hacking Challenge 0x03<\/li>\n<li>Hacking Challenge 0x03 &#8211; Aufl\u00f6sung<\/li>\n<li>Hacking Challenge 0x04<\/li>\n<li>Hacking Challenge 0x04 &#8211; Aufl\u00f6sung<\/li>\n<li>Hacking Challenge 0x05<\/li>\n<li>Hacking Challenge 0x05 &#8211; L\u00f6sung<\/li>\n<li>Hacking Challenge 0x06 (in Bass)<\/li>\n<li>Hacking Challenge 0x06 L\u00f6sung<\/li>\n<li>Hacking Challenge 0x07<\/li>\n<li>Hacking Challenge 0x07 L\u00f6sung<\/li>\n<li>Hacking Challenge 0x08<\/li>\n<li>Aufl\u00f6sung der Hacking Challenge 0x08<\/li>\n<li>Combo Hacking Challenge 0x09<\/li>\n<li>Aufl\u00f6sung der Hacking Challenge 0x09<\/li>\n<li>Oster &#8211; Hacking Challenge 0x0a<\/li>\n<li>Aufl\u00f6sung der Hacking Challenge 0x0a<\/li>\n<li>Combo Hacking Challenge 0x0b<\/li>\n<li>Aufl\u00f6sung der Hacking Challenge 0x0b<\/li>\n<li>Hacking Challenge 0x0c<\/li>\n<li>Aufl\u00f6sung der Hacking Challenge 0x0c<\/li>\n<li>Hacking Challenge 0x0d<\/li>\n<li>Aufl\u00f6sung der Hacking Challenge 0x0d<\/li>\n<li>Die Hacking und Coding Challenges &#8211; das neue Interface<\/li>\n<li>Hacking Challenge 0x0e<\/li>\n<li>Hacking Challenge 0x0e &#8211; Special-Challenge L\u00f6sung<\/li>\n<li>Hacking Challenge 0x0e &#8211; L\u00f6sung<\/li>\n<li>Hacking Challenge 0x0f<\/li>\n<li>Hacking Challenge 0x0f &#8211; L\u00f6sung<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLNmsVeXQZj7qNMn6zimfu4JPUklG-4Uu4\">Softwareengineering &#8211; Wie entwickelt man Software<\/a><\/p>\n<ul>\n<li>Softwareengineering Tutorial #1 &#8211; Einleitung<\/li>\n<li>Softwareengineering Tutorial #2 &#8211; Das Wasserfallmodell<\/li>\n<li>Softwareengineering Tutorial #3 &#8211; Scrum<\/li>\n<li>Softwareengineering Tutorial #4 &#8211; Projektfindung<\/li>\n<li>Softwareengineering Tutorial #5 &#8211; Die Planungsphase<\/li>\n<li>Softwareengineering Tutorial #6 &#8211; Requirements: Kategorien<\/li>\n<li>Softwareengineering Tutorial #7 &#8211; Der Entwurf<\/li>\n<li>UML Tutorial #1 &#8211; Einleitung<\/li>\n<li>UML Tutorial #2 &#8211; Klassendiagrammen Intro<\/li>\n<li>UML Tutorial #3 &#8211; Vererbung<\/li>\n<li>UML Tutorial #4 &#8211; Assoziationen<\/li>\n<li>UML Tutorial #5 &#8211; Assoziationsklassen<\/li>\n<li>UML Tutorial #6 &#8211; Aggregationen<\/li>\n<li>UML Tutorial #7 &#8211; reflexive Assoziationen<\/li>\n<li>UML Tutorial #8 &#8211; OCL &#8211; Object Constraint Language [GERMAN\/DEUTSCH]<\/li>\n<li>UML Tutorial #9 &#8211; Aktivit\u00e4tsdiagramme<\/li>\n<li>UML Tutorial #10 &#8211; Aktivit\u00e4tsdiagramme #2 &#8211; Swim Lanes und Nebenl\u00e4ufigkeit<\/li>\n<li>UML Tutorial #11 &#8211; Sequenzdiagramme<\/li>\n<li>UML Tutorial #12 &#8211; Use Case Diagramme<\/li>\n<li>Softwareengineering Tutorial #8 &#8211; Die Architektur<\/li>\n<li>Softwareengineering Tutorial #9 &#8211; Separation of Concerns [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #10 &#8211; Single Responsibility und Information Hiding<\/li>\n<li>Softwareengineering Tutorial #12 &#8211; Least Knowledge, YAGNI und DRY<\/li>\n<li>Softwareengineering Tutorial #13 &#8211; Die 3-Schichtenarchitektur<\/li>\n<li>Softwareengineering Tutorial #14 &#8211; Die 4-Schichtenarchitektur<\/li>\n<li>Softwareengineering Tutorial #15 &#8211; Die 6-Schichtenarchitektur<\/li>\n<li>Softwareengineering Tutorial #16 &#8211; Die Client-Server Architektur<\/li>\n<li>Softwareengineering Tutorial #17 &#8211; SOA und REST<\/li>\n<li>Softwareengineering Tutorial #18 &#8211; Peer-2-Peer Architekturen<\/li>\n<li>Softwareengineering Tutorial #19 &#8211; Pipelines<\/li>\n<li>Softwareengineering Tutorial #20 &#8211; Event-Driven Architecture<\/li>\n<li>Softwareengineering Tutorial #21 &#8211; Frameworks und Plugins<\/li>\n<li>Softwareengineering Tutorial #22 &#8211; Model View Controller MVC<\/li>\n<li>Softwareengineering Tutorial #23 &#8211; Entwurf und Muster<\/li>\n<li>Softwareengineering Tutorial #24 &#8211; Die Factory Method<\/li>\n<li>Softwareengineering Tutorial #25 &#8211; Das Prototype Pattern<\/li>\n<li>Softwareengineering Tutorial #26 &#8211; Das Abstract Factory Pattern<\/li>\n<li>Softwareengineering Tutorial #27 &#8211; Das Builder Pattern<\/li>\n<li>Softwareengineering Tutorial #28 &#8211; Dependency Injection [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #29 &#8211; Object Pools [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #30 &#8211; Das Singleton<\/li>\n<li>Softwareengineering Tutorial #31 &#8211; Das Adapterpattern<\/li>\n<li>Softwareengineering Tutorial #32 &#8211; Der Decorator<\/li>\n<li>Softwareengineering Tutorial #33 &#8211; Die Fassade<\/li>\n<li>Softwareengineering Tutorial #34 &#8211; Die Br\u00fccke\/ Das Bridge Pattern<\/li>\n<li>Softwareengineering Tutorial #35 &#8211; Das Flyweight \/ Fliegengewicht Pattern<\/li>\n<li>Softwareengineering Tutorial #36 &#8211; Das Proxy Pattern<\/li>\n<li>Softwareengineering Tutorial #37 &#8211; Das Observer Pattern aka Publish Subscribe<\/li>\n<li>Softwareengineering Tutorial #38 &#8211; Das Visitor Pattern<\/li>\n<li>Softwareengineering Tutorial #39 &#8211; Das Mediator Pattern<\/li>\n<li>Softwareengineering Tutorial #40 &#8211; Das Strategy Pattern<\/li>\n<li>Softwareengineering Tutorial #41 &#8211; Chain of Responsibility [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #42 &#8211; Das Command Pattern<\/li>\n<li>Softwareengineering Tutorial #43 &#8211; Das Memento Pattern<\/li>\n<li>Softwareengineering Tutorial #44 &#8211; Das Template Pattern<\/li>\n<li>Softwareengineering Tutorial #45 &#8211; Das Null Object<\/li>\n<li>Softwareengineering Tutorial #46 &#8211; Iteratoren<\/li>\n<li>Softwareengineering Tutorial #47 &#8211; Interpreter [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #48 &#8211; Die GRASP &#8211; Patterns<\/li>\n<li>Softwareengineering Tutorial #49 &#8211; Das Transaction Script<\/li>\n<li>Softwareengineering Tutorial #50 &#8211; Das Table Module<\/li>\n<li>Softwareengineering Tutorial #51 &#8211; Das Domain Module<\/li>\n<li>Softwareengineering Tutorial #52 &#8211; Das Record Set<\/li>\n<li>Softwareengineering Tutorial #53 &#8211; Table Data Gateway [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #54 &#8211; Active Records [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #55 &#8211; Row Data Gateway [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #56 &#8211; Single Table Inheritance [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #57 &#8211; Class Table Inheritance [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #58 &#8211; Concrete Table Inheritance [DEUTSCH\/GERMAN]<\/li>\n<li>Softwareengineering Tutorial #59 &#8211; Die Implementierungsphase: UML in Code umwandeln<\/li>\n<li>Softwareengineering Tutorial #60 &#8211; Testen<\/li>\n<li>Softwareengineering Tutorial #61 &#8211; Test-Abdeckungen<\/li>\n<li>Softwareengineering Tutorial #62 &#8211; Kontrollflussgraphen<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>LinkedIn: Cedric M\u00f6ssner Udemy: Cedric M\u00f6ssner Zigurat: Cedric M\u00f6ssner BTC-ECHO: Cedric M\u00f6ssner Verzeichnis Machine Learning und K\u00fcnstliche Intelligenz Machine Learning und K\u00fcnstliche Intelligenz Machine Learning #1 &#8211; Einleitung und Infos zur Serie Machine Learning #2 &#8211; Grundlagen #1 &#8211; Die Daten Machine Learning #3 &#8211; Grundlagen #2 &#8211; Konzept vs Klassifikation vs Regression Machine Learning [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10520","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10520","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10520"}],"version-history":[{"count":9,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10520\/revisions"}],"predecessor-version":[{"id":11025,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=\/wp\/v2\/posts\/10520\/revisions\/11025"}],"wp:attachment":[{"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10520"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10520"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.bachi.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10520"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}