{
"root": {
"id": "wffcoluh",
"text": "Tech Stack",
"notes": "",
"layout": "map",
"children": [
{
"id": "rykibnfg",
"text": "Web Dev",
"notes": "",
"side": "right",
"children": [
{
"id": "atussbkj",
"text": "HTML",
"notes": ""
},
{
"id": "snagsiyn",
"text": "CSS",
"notes": "",
"children": [
{
"id": "kjvjzobw",
"text": "MaterialUI",
"notes": ""
},
{
"id": "ykxbarrc",
"text": "Bootstrap",
"notes": ""
},
{
"id": "diiisxdj",
"text": "Tailwind",
"notes": ""
}
]
},
{
"id": "yovupgyi",
"text": "JavaScript",
"notes": "",
"children": [
{
"id": "qocpmbdl",
"text": "Angular",
"notes": ""
},
{
"id": "felapbqm",
"text": "React",
"notes": ""
},
{
"id": "gqfrihgi",
"text": "Node",
"notes": ""
},
{
"id": "xhqedxvy",
"text": "Next",
"notes": ""
},
{
"id": "lpigidbz",
"text": "Express",
"notes": ""
},
{
"id": "xnamkiug",
"text": "Solid",
"notes": ""
},
{
"id": "igczgwad",
"text": "Preact",
"notes": ""
},
{
"id": "usmhbckl",
"text": "Vue",
"notes": ""
}
]
},
{
"id": "lrgbrihc",
"text": "Version Control",
"notes": "",
"children": [
{
"id": "lsesvrib",
"text": "Git + Github",
"notes": ""
},
{
"id": "mmsuitpq",
"text": "Branching",
"notes": ""
},
{
"id": "bfgrnovu",
"text": "Stash",
"notes": ""
}
]
},
{
"id": "buqjoblq",
"text": "Databases",
"notes": "",
"children": [
{
"id": "bniibycs",
"text": "Mongo",
"notes": ""
},
{
"id": "ottsbmyj",
"text": "MySQL",
"notes": ""
},
{
"id": "wardwtqz",
"text": "Redis",
"notes": ""
},
{
"id": "pnzkhndq",
"text": "Snowflake",
"notes": ""
},
{
"id": "vykfqilt",
"text": "Postgre",
"notes": ""
}
]
}
]
},
{
"id": "orjnfcdb",
"text": "Artificial Intelligence",
"notes": "",
"side": "left",
"children": [
{
"id": "qojzaqik",
"text": "Fundamentals",
"notes": "",
"children": [
{
"id": "iryvgegh",
"text": "Required Mahematical Knowledge",
"notes": ""
},
{
"id": "xalwvlim",
"text": "Basic Knowledge",
"notes": "",
"children": [
{
"id": "tttgmytz",
"text": "Data formats",
"notes": ""
},
{
"id": "lcczyghv",
"text": "RegEX",
"notes": ""
},
{
"id": "wovwnpxk",
"text": "JSON, XML, CSV",
"notes": ""
}
]
},
{
"id": "ilzaztsc",
"text": "Python Programming",
"notes": "",
"children": [
{
"id": "zsnvwdms",
"text": "Numpy",
"notes": ""
},
{
"id": "hdvckoau",
"text": "Pandas",
"notes": ""
},
{
"id": "qednllwz",
"text": "Basics",
"notes": ""
}
]
},
{
"id": "tnfbtllp",
"text": "Data Basics",
"notes": "",
"children": [
{
"id": "pyjthcsw",
"text": "Mining",
"notes": ""
},
{
"id": "qilpvqau",
"text": "Web Scraping",
"notes": ""
},
{
"id": "sbiuqbjw",
"text": "Data Assets",
"notes": ""
}
]
},
{
"id": "luyausvn",
"text": "Data Advanced",
"notes": "",
"children": [
{
"id": "zzwknnpd",
"text": "Principal component analysis",
"notes": ""
},
{
"id": "xerkuhsm",
"text": "Dimentional & Numerosity Reduction",
"notes": ""
},
{
"id": "agnvrrhw",
"text": "Normalization",
"notes": ""
},
{
"id": "aycsnuor",
"text": "Data Scrubbing, Hadling Missing Values",
"notes": ""
},
{
"id": "eyajurol",
"text": "Unbiased estimators",
"notes": ""
},
{
"id": "obyjyszc",
"text": "Binning sparse values",
"notes": ""
},
{
"id": "zljrlfch",
"text": "Feature Extraction",
"notes": ""
},
{
"id": "bxpodujo",
"text": "Denoising",
"notes": ""
},
{
"id": "wjnswudd",
"text": "Sampling",
"notes": ""
}
]
}
]
},
{
"id": "tddstknt",
"text": "Data Scientist",
"notes": "",
"children": [
{
"id": "jtaseorx",
"text": "Statistics",
"notes": "",
"children": [
{
"id": "typtbjjg",
"text": "Probability Theory",
"notes": "",
"children": [
{
"id": "dkqlogqq",
"text": "Randomness, random variable, random sample",
"notes": ""
},
{
"id": "qqmjuhtn",
"text": "Probability Distribution",
"notes": ""
},
{
"id": "buxrciuz",
"text": "Conditional Probability and Bayes Theorem",
"notes": ""
},
{
"id": "xagoiwiu",
"text": "Stastical independence",
"notes": ""
},
{
"id": "oxinnxcn",
"text": "iid",
"notes": ""
},
{
"id": "mggsvbnb",
"text": "Functions",
"notes": "",
"children": [
{
"id": "grbuwqpe",
"text": "cumulative distrubution",
"notes": ""
},
{
"id": "ojlfcsmg",
"text": "probability desity",
"notes": ""
},
{
"id": "tvzrkryw",
"text": "probability mass",
"notes": ""
}
]
}
]
},
{
"id": "swhqpxhl",
"text": "Distributions",
"notes": "",
"children": [
{
"id": "nfzsskfr",
"text": "Continuous",
"notes": "",
"children": [
{
"id": "derccnld",
"text": "Normal / Gaussian",
"notes": ""
},
{
"id": "ukktityk",
"text": "Uniform continous",
"notes": ""
},
{
"id": "wnkjogkz",
"text": "Beta",
"notes": ""
},
{
"id": "zyclpjbx",
"text": "Dirichlet",
"notes": ""
},
{
"id": "zeuewidn",
"text": "Exponential",
"notes": ""
},
{
"id": "xmstayph",
"text": "chi-squared",
"notes": ""
}
]
},
{
"id": "beoxyzte",
"text": "Discrete",
"notes": "",
"children": [
{
"id": "rfaemzlp",
"text": "Uniform discrete",
"notes": ""
},
{
"id": "iwnnwsdt",
"text": "Binomial and multinomial",
"notes": ""
},
{
"id": "sqqplwuq",
"text": "Hypergeometric",
"notes": ""
},
{
"id": "ukgxevex",
"text": "Poisson",
"notes": ""
},
{
"id": "lskeepqw",
"text": "Geometric",
"notes": ""
}
]
}
]
},
{
"id": "gvkxwtig",
"text": "Extras",
"notes": "",
"children": [
{
"id": "emjeewhi",
"text": "Expectation and mean",
"notes": ""
},
{
"id": "nnswheih",
"text": "Variance and standard deviation",
"notes": ""
},
{
"id": "igrgawsf",
"text": "Covariance and Correlation",
"notes": ""
},
{
"id": "hsamcukm",
"text": "Median and Quartile",
"notes": ""
},
{
"id": "dvivtylc",
"text": "Interquartile range",
"notes": ""
},
{
"id": "kbgxadel",
"text": "Percentile / Quantile",
"notes": ""
},
{
"id": "pejnrmku",
"text": "Mode",
"notes": ""
}
]
},
{
"id": "cjfsetuc",
"text": "Laws and Estimation",
"notes": "",
"children": [
{
"id": "gulocbvk",
"text": "Law of Large Numbers",
"notes": ""
},
{
"id": "egeshtos",
"text": "Central Limit Theorem",
"notes": ""
},
{
"id": "xgijzuhr",
"text": "Maximum Likelyhood Estimation",
"notes": ""
},
{
"id": "jexszdkd",
"text": "Kernel Density Estimation",
"notes": ""
}
]
},
{
"id": "luwmojav",
"text": "Hypothesis testing",
"notes": "",
"children": [
{
"id": "cibjjhlf",
"text": "p-value",
"notes": ""
},
{
"id": "ynlqjrgl",
"text": "chi square test",
"notes": ""
},
{
"id": "zfhfqitn",
"text": "f test",
"notes": ""
},
{
"id": "jlrudssh",
"text": "t test",
"notes": ""
}
]
},
{
"id": "rgbbobhw",
"text": "Monte Carlo Method",
"notes": ""
}
]
},
{
"id": "xschfedk",
"text": "Visualization",
"notes": "",
"children": [
{
"id": "cesnmflv",
"text": "Python",
"notes": "",
"children": [
{
"id": "zncyacgo",
"text": "Matplotib",
"notes": ""
},
{
"id": "upkoxhdw",
"text": "Bokeh",
"notes": ""
},
{
"id": "twowally",
"text": "Seaborn",
"notes": ""
},
{
"id": "mzdwgqaf",
"text": "ipyvolume",
"notes": ""
}
]
},
{
"id": "pqzszkie",
"text": "Streamlit",
"notes": ""
},
{
"id": "ysmtvgmr",
"text": "Web",
"notes": "",
"children": [
{
"id": "syafzzat",
"text": "Vega-lite",
"notes": ""
},
{
"id": "lyuwhvuh",
"text": "D3.js",
"notes": ""
},
{
"id": "dikbveee",
"text": "Dash",
"notes": ""
}
]
},
{
"id": "yrpcrpnx",
"text": "BI",
"notes": "",
"children": [
{
"id": "tbyyfhez",
"text": "Tableau",
"notes": ""
},
{
"id": "bfhtsruj",
"text": "PowerBI",
"notes": ""
}
]
}
]
}
]
},
{
"id": "vmaqxyef",
"text": "Machine Learning",
"notes": "",
"children": [
{
"id": "cfmashli",
"text": "General",
"notes": "",
"children": [
{
"id": "oflmudqe",
"text": "Concepts, Inputs, Attributes",
"notes": "",
"children": [
{
"id": "fsuoswuh",
"text": "Variables",
"notes": "",
"children": [
{
"id": "lqcfoftq",
"text": "Categorical",
"notes": ""
},
{
"id": "xfjekwtk",
"text": "Ordinal",
"notes": ""
},
{
"id": "lwedhiec",
"text": "Numerical",
"notes": ""
}
]
}
]
},
{
"id": "tfoevaxi",
"text": "Cost functions and gradient descent",
"notes": ""
},
{
"id": "rrjmvpmm",
"text": "overfitting and underfitting",
"notes": ""
},
{
"id": "fhktmpxc",
"text": "training and validation and test data",
"notes": ""
},
{
"id": "fqqnmsqu",
"text": "precision vs recall",
"notes": ""
},
{
"id": "lflegyzo",
"text": "bias and variance",
"notes": ""
},
{
"id": "jhroozhw",
"text": "Lift",
"notes": ""
}
]
},
{
"id": "ceuuzlgn",
"text": "Methods",
"notes": "",
"children": [
{
"id": "zgyadili",
"text": "Supervised",
"notes": ""
},
{
"id": "yxqbicuj",
"text": "Unsupervised",
"notes": ""
},
{
"id": "jjytpvji",
"text": "Ensemble",
"notes": ""
},
{
"id": "cowvahqv",
"text": "Reinforcement",
"notes": ""
}
]
},
{
"id": "eftvfjuc",
"text": "Use cases",
"notes": "",
"children": [
{
"id": "yieimlla",
"text": "Sentiment Analysis",
"notes": ""
},
{
"id": "rxofjaya",
"text": "Collaborative Filtetering",
"notes": ""
},
{
"id": "iiignddy",
"text": "Tagging",
"notes": ""
},
{
"id": "tamdvkpb",
"text": "Prediction",
"notes": ""
}
]
},
{
"id": "tfpkuaep",
"text": "Important Libraries",
"notes": "",
"children": [
{
"id": "vlgdnmge",
"text": "Scikit-learn",
"notes": ""
},
{
"id": "kgubrvfy",
"text": "spacy (nlp)",
"notes": ""
}
]
}
]
},
{
"id": "osqjyfzd",
"text": "Neural Networks",
"notes": "",
"children": [
{
"id": "ptllgxri",
"text": "Papers",
"notes": "",
"children": [
{
"id": "qnpsloic",
"text": "Deep Learning Papers Reading Roadmap (website)",
"notes": ""
},
{
"id": "amuuilkw",
"text": "Papers with code (website)",
"notes": ""
},
{
"id": "ycfmciam",
"text": "Papers with code - state of art (website)",
"notes": ""
}
]
},
{
"id": "dyqjxcbm",
"text": "Neural Networks",
"notes": "",
"children": [
{
"id": "auxemytw",
"text": "Understanding",
"notes": ""
},
{
"id": "yprvntbp",
"text": "Functions",
"notes": "",
"children": [
{
"id": "meyxhhli",
"text": "Loss functions",
"notes": ""
},
{
"id": "dsmtxmug",
"text": "Activation functions",
"notes": ""
}
]
},
{
"id": "kqwuxvnr",
"text": "Weight initialization",
"notes": ""
},
{
"id": "nohyujis",
"text": "Vanishing / Exploding Gradient Problem",
"notes": ""
}
]
},
{
"id": "fhycmmae",
"text": "Architectures",
"notes": "",
"children": [
{
"id": "tkdgqejd",
"text": "Feedward neural networks",
"notes": ""
},
{
"id": "dnmlyecm",
"text": "Autoencoder",
"notes": ""
},
{
"id": "aikfnyla",
"text": "Convolusional neural network (cnn)",
"notes": "",
"children": [
{
"id": "lvschkej",
"text": "Pooling",
"notes": ""
}
]
},
{
"id": "hmcwlupc",
"text": "Recurrent neural network (rnn)",
"notes": "",
"children": [
{
"id": "kwmvkvps",
"text": "LSTM",
"notes": ""
},
{
"id": "hswwclgr",
"text": "GRU",
"notes": ""
}
]
},
{
"id": "zgndrnvx",
"text": "Transformer",
"notes": "",
"children": [
{
"id": "uxfqpbqu",
"text": "Encoder",
"notes": ""
},
{
"id": "ahnkzjro",
"text": "Decoder",
"notes": ""
},
{
"id": "zdfarpen",
"text": "Attention",
"notes": ""
}
]
},
{
"id": "jjlflqjq",
"text": "Siamese network",
"notes": ""
},
{
"id": "rkakjvqu",
"text": "Generative adversial network (gan)",
"notes": ""
},
{
"id": "xikvhzoj",
"text": "Evolving architectures / NEAT",
"notes": ""
},
{
"id": "zweospid",
"text": "Residual connections",
"notes": ""
}
]
},
{
"id": "nxfxapao",
"text": "Training",
"notes": "",
"children": [
{
"id": "quzmqouk",
"text": "Optimizers",
"notes": ""
},
{
"id": "rmvwnysj",
"text": "Learning rate schedule",
"notes": ""
},
{
"id": "omchrzoc",
"text": "batch normalization",
"notes": ""
},
{
"id": "svxkaobs",
"text": "batch side effects",
"notes": ""
},
{
"id": "pfhgxwsn",
"text": "regularization",
"notes": "",
"children": [
{
"id": "sxblszua",
"text": "Early stopping",
"notes": ""
},
{
"id": "dppxlyog",
"text": "dropout",
"notes": ""
},
{
"id": "gcpypbek",
"text": "parameter penalties",
"notes": ""
},
{
"id": "ogajrvew",
"text": "data argumentation",
"notes": ""
},
{
"id": "oglansjk",
"text": "adversarial training",
"notes": ""
}
]
},
{
"id": "cjxuvkrs",
"text": "multitask learning",
"notes": ""
},
{
"id": "qoblxbxv",
"text": "transfer learnring",
"notes": ""
},
{
"id": "mchipydr",
"text": "cirriculum learning",
"notes": ""
}
]
},
{
"id": "tdcdyeta",
"text": "Tools",
"notes": "",
"children": [
{
"id": "mqlbhyhu",
"text": "Important Libraries",
"notes": "",
"children": [
{
"id": "gnqbovcr",
"text": "Awesome Deep Learning",
"notes": ""
},
{
"id": "csgcsrvu",
"text": "Hugging Face Transformers",
"notes": ""
}
]
},
{
"id": "lgjzjlku",
"text": "Tensorflow",
"notes": ""
},
{
"id": "mcusdvvx",
"text": "Pytorch",
"notes": ""
},
{
"id": "trmqgryo",
"text": "Tensorboard",
"notes": ""
},
{
"id": "wymgujvh",
"text": "ML Flow",
"notes": ""
}
]
},
{
"id": "ozyauzeh",
"text": "Model Optimization",
"notes": "",
"children": [
{
"id": "dkvaizxm",
"text": "Distillation",
"notes": ""
},
{
"id": "wkzfdccx",
"text": "Quantization",
"notes": ""
},
{
"id": "ddjcsbos",
"text": "Neural architecture search",
"notes": ""
}
]
}
]
}
]
},
{
"id": "yqtjekzm",
"text": "CyberSecurity",
"notes": "",
"side": "right",
"children": [
{
"id": "ituvwdhv",
"text": "Computer Fundamentals",
"notes": "",
"children": [
{
"id": "qayzmqhu",
"text": "Comptia A+",
"notes": ""
},
{
"id": "moogwpiu",
"text": "Practical Experience",
"notes": ""
}
]
},
{
"id": "tgxkuggb",
"text": "Operating Systems",
"notes": "",
"children": [
{
"id": "vqqrobcz",
"text": "Windows",
"notes": "",
"children": [
{
"id": "ekxjfuld",
"text": "Windows XP, 7, 8, 8.1, 11",
"notes": ""
},
{
"id": "ewqlttlz",
"text": "Windows 10 Gangster Edition",
"notes": ""
},
{
"id": "pgxpdmyy",
"text": "Tiny11",
"notes": ""
},
{
"id": "qexmoqzr",
"text": "Windows Internals (pulstrait)",
"notes": ""
}
]
},
{
"id": "civlzevv",
"text": "Unix Solaris",
"notes": ""
},
{
"id": "kuybcwkp",
"text": "Linux",
"notes": "",
"children": [
{
"id": "wexboyvs",
"text": "All Basic Commands",
"notes": ""
},
{
"id": "zaqsxbpg",
"text": "Setting up a Linux Web Server",
"notes": ""
},
{
"id": "esicjdrr",
"text": "Distros like, ParrotOS, Ubuntu, Mint, FreeBSD, Debian, Kali",
"notes": ""
},
{
"id": "ukjqnifd",
"text": "CompTIALinux+ (only course)",
"notes": ""
},
{
"id": "uswjepxz",
"text": "Linux101",
"notes": ""
},
{
"id": "mibtouzl",
"text": "Rootkit Linux",
"notes": ""
}
]
},
{
"id": "bfhlscct",
"text": "MacOS (no experience only theory)",
"notes": ""
}
]
},
{
"id": "yurhgazr",
"text": "Common Terms",
"notes": ""
},
{
"id": "nkxoaijc",
"text": "Computer Networking",
"notes": "",
"children": [
{
"id": "icrmliiy",
"text": "Network+ (only course)",
"notes": ""
},
{
"id": "yewclwsc",
"text": "Practical Experience",
"notes": ""
}
]
},
{
"id": "rfbfyass",
"text": "Virtual Machines",
"notes": "",
"children": [
{
"id": "nahtgexq",
"text": "All Operating Systems mentioned above was installed on this",
"notes": ""
},
{
"id": "cxwhosez",
"text": "VMware, VirtualBox",
"notes": ""
},
{
"id": "idffchxg",
"text": "Setting up lab environment",
"notes": ""
}
]
},
{
"id": "ucxfhqzr",
"text": "Network Hacking",
"notes": "",
"children": [
{
"id": "ldtwpwly",
"text": "Nmap",
"notes": ""
},
{
"id": "emkitpwk",
"text": "Metasploit",
"notes": ""
},
{
"id": "ibifttet",
"text": "ReverseShell",
"notes": ""
},
{
"id": "wowpbqwf",
"text": "Nessus",
"notes": ""
},
{
"id": "uubukaku",
"text": "Privilege Escalation",
"notes": ""
},
{
"id": "seztuiqr",
"text": "Wireshark",
"notes": ""
},
{
"id": "kfikmxyi",
"text": "Man in Middle",
"notes": ""
},
{
"id": "ynngqspd",
"text": "Dark Hat Courses (I am Ethical Hacker, I will never do illegal things)",
"notes": ""
},
{
"id": "xswojwmd",
"text": "DDOS",
"notes": ""
},
{
"id": "ybwskscn",
"text": "Hacked my own phone, through wifi (This is legal)",
"notes": ""
}
]
},
{
"id": "ctkmhbtm",
"text": "Web App Security",
"notes": "",
"children": [
{
"id": "yurimskc",
"text": "HTTP Methods",
"notes": ""
},
{
"id": "kzndvvvb",
"text": "Response status codes",
"notes": ""
},
{
"id": "fjkhhsip",
"text": "SSL",
"notes": ""
},
{
"id": "ehulofrs",
"text": "CDNs",
"notes": ""
},
{
"id": "bfwkdimb",
"text": " Transmission Control ProtocoL",
"notes": ""
},
{
"id": "zqqyabcx",
"text": "Injections",
"notes": "",
"children": [
{
"id": "lfbzgjjk",
"text": "SQL",
"notes": ""
},
{
"id": "lajenzil",
"text": "HTML",
"notes": ""
},
{
"id": "udwxlbpf",
"text": "XSS",
"notes": ""
},
{
"id": "jreqzisu",
"text": "Host Header",
"notes": ""
}
]
},
{
"id": "byjxtejh",
"text": "EC Council WAHS (course only)",
"notes": ""
},
{
"id": "jvuivwuh",
"text": "ISC2 CSSLP (only course)",
"notes": ""
},
{
"id": "mqandofe",
"text": "Did some practical on my lap environment (totally legal)",
"notes": ""
}
]
},
{
"id": "fbfsmbnk",
"text": "Cloud Security",
"notes": "",
"children": [
{
"id": "vrrfqdmh",
"text": "Azure DevOps (incomplete learning, as i don't like this due to lack of practical knowledge)",
"notes": ""
}
]
},
{
"id": "tjulvsim",
"text": "Courses ",
"notes": "",
"children": [
{
"id": "zpufypiy",
"text": "Sans Institute",
"notes": "",
"children": [
{
"id": "oujmtsgf",
"text": "SEC450 (only course)",
"notes": ""
}
]
},
{
"id": "zzyguiib",
"text": "IBM Cybersecurity Fundamentals (got a certificate)",
"notes": ""
},
{
"id": "uxpfphfx",
"text": "Blue Team Level 2 (only course)",
"notes": ""
},
{
"id": "ezkykmyh",
"text": "Blue Team Level 1 (only course)",
"notes": ""
}
]
},
{
"id": "rbkjnmho",
"text": "Explored and Experimented with some black hat tools (never harmed someone, or did something illegal)",
"notes": ""
}
]
},
{
"id": "vyivtcnz",
"text": "Programming
C, C#, C++, Python, Java, Rust, Golang, Kotlin, Flutter, Swift, MATLAB",
"notes": "",
"side": "left",
"children": [
{
"id": "elhescdg",
"text": "Basics ",
"notes": "",
"children": [
{
"id": "lgbgebdm",
"text": "Pseudo code",
"notes": ""
},
{
"id": "noyveogk",
"text": "Basic Syntax",
"notes": ""
},
{
"id": "oxwssvhs",
"text": "Control Structures",
"notes": ""
},
{
"id": "hzedvpyo",
"text": "Functions",
"notes": ""
},
{
"id": "sfylxgvw",
"text": "OOPs",
"notes": ""
},
{
"id": "fmfiurua",
"text": "Exception Handling",
"notes": ""
}
]
},
{
"id": "sblnxykf",
"text": "Data Structures",
"notes": "",
"children": [
{
"id": "dsnzvkkm",
"text": "Basics",
"notes": "",
"children": [
{
"id": "woiwxrxb",
"text": "what",
"notes": ""
},
{
"id": "pnlnbtaq",
"text": "importance",
"notes": ""
},
{
"id": "nomzqhhu",
"text": "self-referential",
"notes": ""
},
{
"id": "jbmnnarl",
"text": "recursive",
"notes": ""
},
{
"id": "pocjmtdd",
"text": "double pointers",
"notes": ""
},
{
"id": "cqcdxfzs",
"text": "dynamic memory management",
"notes": ""
}
]
},
{
"id": "wnwswqno",
"text": "Arrays",
"notes": ""
},
{
"id": "kwkpnkgd",
"text": "Stacks",
"notes": ""
},
{
"id": "kaqxawnk",
"text": "Queues",
"notes": ""
},
{
"id": "xsysqwir",
"text": "Linked Lists",
"notes": ""
},
{
"id": "fiyowdtj",
"text": "Hash Tables",
"notes": ""
}
]
},
{
"id": "pemamjgz",
"text": "Problem Solving Techniques",
"notes": "",
"children": [
{
"id": "vytawnla",
"text": "Brute Force",
"notes": ""
},
{
"id": "dxlebvdl",
"text": "Two pointer technique",
"notes": ""
},
{
"id": "rdyevkvb",
"text": "Divide and connquer",
"notes": ""
},
{
"id": "qfmmvngg",
"text": "Recursion",
"notes": ""
},
{
"id": "ngfpcjkg",
"text": "Greedy algorithms",
"notes": ""
},
{
"id": "juueybxo",
"text": "Backtracking",
"notes": ""
},
{
"id": "alnyvdmu",
"text": "Dynamic programming",
"notes": ""
},
{
"id": "llttmbbv",
"text": "Randomized algorithms",
"notes": ""
},
{
"id": "yuysovgm",
"text": "Sliding window technique",
"notes": ""
}
]
},
{
"id": "trashhcv",
"text": "Algorithmic Complexity",
"notes": "",
"children": [
{
"id": "xuobjbsd",
"text": "Time vs Space",
"notes": ""
},
{
"id": "zrgpzmbi",
"text": "How to calculate it?",
"notes": ""
},
{
"id": "aqsruxvx",
"text": "Common Runtimes",
"notes": "",
"children": [
{
"id": "whtaeyin",
"text": "Constant",
"notes": ""
},
{
"id": "dummlavx",
"text": "Logarithmic",
"notes": ""
},
{
"id": "ybvmwwob",
"text": "Linear",
"notes": ""
},
{
"id": "rozwjndv",
"text": "Polynomial",
"notes": ""
},
{
"id": "hgoprvpy",
"text": "Exponential",
"notes": ""
},
{
"id": "qdgfdrrw",
"text": "Factorial",
"notes": ""
}
]
},
{
"id": "svcsovcz",
"text": "Asymptotic Notation",
"notes": "",
"children": [
{
"id": "rubnchjx",
"text": "Big-O",
"notes": ""
},
{
"id": "ljabytwj",
"text": "Omega",
"notes": ""
},
{
"id": "fbauysgv",
"text": "Theta",
"notes": ""
}
]
},
{
"id": "hxciqxjt",
"text": "Sorting Algorithms",
"notes": "",
"children": [
{
"id": "sbqteiiz",
"text": "Bubble ",
"notes": ""
},
{
"id": "fszlsvdo",
"text": "Merge",
"notes": ""
},
{
"id": "gokyxwuu",
"text": "Isertion",
"notes": ""
},
{
"id": "dvxppzut",
"text": "Quick ",
"notes": ""
},
{
"id": "nlcgzkcg",
"text": "Selection",
"notes": ""
},
{
"id": "upnwncly",
"text": "Heap",
"notes": ""
}
]
},
{
"id": "zpjnydeu",
"text": "Searching Algorithms",
"notes": "",
"children": [
{
"id": "agsmxmwg",
"text": "Linear",
"notes": ""
},
{
"id": "btfarzik",
"text": "Binary",
"notes": ""
}
]
}
]
},
{
"id": "fzskavre",
"text": "Tree Data Structures",
"notes": "",
"children": [
{
"id": "sflbwnyh",
"text": "Binary",
"notes": ""
},
{
"id": "uvwiovbv",
"text": "Binary search",
"notes": ""
},
{
"id": "vjxxmaxb",
"text": "AVL",
"notes": ""
},
{
"id": "vppvjsrk",
"text": "B",
"notes": ""
},
{
"id": "klnoqjkj",
"text": "Tree traversals",
"notes": ""
},
{
"id": "tavglrzf",
"text": "Searching Algorithms",
"notes": "",
"children": [
{
"id": "llulyhjf",
"text": "Breadth First Search",
"notes": ""
},
{
"id": "hxzhnens",
"text": "Depth First Search",
"notes": ""
}
]
}
]
},
{
"id": "jboimuua",
"text": "Advanced Data Structures",
"notes": "",
"children": [
{
"id": "nyncymip",
"text": "Heaps",
"notes": ""
},
{
"id": "sniwaufi",
"text": "Trie (prefix tree)",
"notes": ""
},
{
"id": "wbinhgey",
"text": "Disjoint set (union find)",
"notes": ""
},
{
"id": "sbonofov",
"text": "segment tree",
"notes": ""
},
{
"id": "wapummhe",
"text": "Tenwick tree",
"notes": ""
},
{
"id": "ehcwcujx",
"text": "Suffix arrays and suffix trees",
"notes": ""
},
{
"id": "piadhobm",
"text": "Graph Data Structures",
"notes": "",
"children": [
{
"id": "joahdwdw",
"text": "Directed graph",
"notes": ""
},
{
"id": "ppraywzf",
"text": "Undirected graph",
"notes": ""
}
]
},
{
"id": "lndtcllj",
"text": "Shortest Path Algorithms",
"notes": "",
"children": [
{
"id": "efvulfaj",
"text": "Diklstra's algorithm",
"notes": ""
},
{
"id": "drhlypcg",
"text": "Bellman-ford",
"notes": ""
},
{
"id": "xzslnbyp",
"text": "floyd-warshall",
"notes": ""
}
]
},
{
"id": "csygdhum",
"text": "Minimum spanning tree",
"notes": "",
"children": [
{
"id": "ymlrwgug",
"text": "Prim's algorithm",
"notes": ""
},
{
"id": "netdhtoj",
"text": "Kruskal's algorithm",
"notes": ""
}
]
}
]
},
{
"id": "qcgnslna",
"text": "Complex Data Structures",
"notes": "",
"children": [
{
"id": "ibdbawfy",
"text": "Indexing",
"notes": "",
"children": [
{
"id": "henietfo",
"text": "Linear indexing",
"notes": ""
},
{
"id": "komizcsf",
"text": "Tree-based indexing",
"notes": ""
}
]
},
{
"id": "uatcucyw",
"text": "B / B+ Trees",
"notes": ""
},
{
"id": "sgwhmmap",
"text": "Skip list",
"notes": ""
},
{
"id": "gzsaonyg",
"text": "ISAM",
"notes": ""
},
{
"id": "lahinuxa",
"text": "2 - 3 Trees",
"notes": ""
}
]
},
{
"id": "spntrstv",
"text": "Practice Problems",
"notes": "",
"children": [
{
"id": "fgdfrcbi",
"text": "Practice Sheets",
"notes": "",
"children": [
{
"id": "lvrdttma",
"text": "DSA Sheet by Love Babbar",
"notes": ""
},
{
"id": "xhetpyvm",
"text": "Striver's SDE Sheet",
"notes": ""
},
{
"id": "wzwfpwdd",
"text": "Apna College DSA Sheet",
"notes": ""
},
{
"id": "vkzysejt",
"text": "NeetCode150",
"notes": ""
},
{
"id": "bqgforme",
"text": "DSA Sheet by Arsh 60 days plan",
"notes": ""
},
{
"id": "vfhbaxdc",
"text": "AlgoPrep's 151 Problems Sheet",
"notes": ""
}
]
},
{
"id": "rnajztqh",
"text": "Platforms",
"notes": "",
"children": [
{
"id": "wauuaprl",
"text": "Leetcode",
"notes": ""
},
{
"id": "ejuxfxqn",
"text": "Codeforces",
"notes": ""
},
{
"id": "kxywcfyc",
"text": "Codechef",
"notes": ""
},
{
"id": "mewesrwz",
"text": "InterviewBit",
"notes": ""
}
]
}
]
},
{
"id": "rmgjjgwt",
"text": "System Design",
"notes": "",
"children": [
{
"id": "ckxydays",
"text": "soon learning",
"notes": ""
}
]
}
]
},
{
"id": "ousldadz",
"text": "Quantam Computing",
"notes": "",
"side": "right",
"children": [
{
"id": "gubyuenc",
"text": "Book: quantum-computation-and-quantum-information-nielsen-chuang",
"notes": ""
}
]
},
{
"id": "tsnfgzzv",
"text": "Robotics",
"notes": "",
"side": "left",
"children": [
{
"id": "knnlkses",
"text": "Foundations",
"notes": "",
"children": [
{
"id": "gwllwoxy",
"text": "History & Evolution",
"notes": "",
"children": [
{
"id": "rphyeidk",
"text": "Key milstones",
"notes": ""
},
{
"id": "rwplntyz",
"text": "Historical evolution",
"notes": ""
}
]
},
{
"id": "whhxettk",
"text": "Types of Robots",
"notes": "",
"children": [
{
"id": "vhznjkhf",
"text": "Industrial",
"notes": ""
},
{
"id": "mvmniemu",
"text": "Mobile",
"notes": ""
},
{
"id": "yzdyqywg",
"text": "Humanoids",
"notes": ""
},
{
"id": "ucyrbzle",
"text": "Drones",
"notes": ""
},
{
"id": "ziabwnyf",
"text": "Underwater",
"notes": ""
}
]
},
{
"id": "hancxble",
"text": "Applications",
"notes": "",
"children": [
{
"id": "rzqpragn",
"text": "Manufacturing",
"notes": ""
},
{
"id": "pydyeahl",
"text": "Healthcare",
"notes": ""
},
{
"id": "toxhvbed",
"text": "Agriculture",
"notes": ""
},
{
"id": "zjorxrzo",
"text": "Space exploration",
"notes": ""
}
]
}
]
},
{
"id": "uyofzuhw",
"text": "Math Foundations",
"notes": "",
"children": [
{
"id": "cczpisho",
"text": "Linear Algebra",
"notes": "",
"children": [
{
"id": "ufadypid",
"text": "Matrices, Vectors
",
"notes": ""
},
{
"id": "rbkculep",
"text": "Transformation Matrices",
"notes": ""
}
]
},
{
"id": "zocmxufz",
"text": "Calculus",
"notes": "",
"children": [
{
"id": "rnqomhnj",
"text": "Differentiation",
"notes": ""
},
{
"id": "bshepzdd",
"text": "Integration",
"notes": ""
},
{
"id": "llgvclxv",
"text": "Multivariable",
"notes": ""
}
]
},
{
"id": "uxxjrjca",
"text": "Probability & Statistics",
"notes": "",
"children": [
{
"id": "msvjonon",
"text": "Baye's theorem",
"notes": ""
},
{
"id": "paimvbia",
"text": "Gaussian distribution",
"notes": ""
}
]
},
{
"id": "kqxymxij",
"text": "Optimization",
"notes": "",
"children": [
{
"id": "ogcofxmj",
"text": "Gradient descent",
"notes": ""
},
{
"id": "kwpohcgf",
"text": "convex",
"notes": ""
}
]
}
]
},
{
"id": "regtlcgj",
"text": "Core Concepts",
"notes": "",
"children": [
{
"id": "tmyshqjc",
"text": "Kinematics",
"notes": "",
"children": [
{
"id": "gxmrlsfr",
"text": "Forward",
"notes": ""
},
{
"id": "gxqhiqju",
"text": "Inverse",
"notes": ""
},
{
"id": "hlaogpyc",
"text": "Jacobian matrix",
"notes": ""
}
]
},
{
"id": "fzwdemcm",
"text": "Dynamics",
"notes": "",
"children": [
{
"id": "aocqsqyn",
"text": "newton-euler mechanics",
"notes": ""
},
{
"id": "wldyqkew",
"text": "lagarangian mechanics",
"notes": ""
}
]
},
{
"id": "uwbnswdj",
"text": "Control Systems",
"notes": "",
"children": [
{
"id": "rbyopcrd",
"text": "Feedback",
"notes": ""
},
{
"id": "mgxhujnn",
"text": "PID",
"notes": ""
},
{
"id": "vykhdllr",
"text": "Adaptive",
"notes": ""
}
]
}
]
},
{
"id": "nmsxwwzt",
"text": "Sensors & Actuators",
"notes": "",
"children": [
{
"id": "nnsmmfbm",
"text": "Sensors",
"notes": "",
"children": [
{
"id": "djgbcwkp",
"text": "Cameras (RGB, Depth, Thermal)
",
"notes": ""
},
{
"id": "yiwtvssc",
"text": "LIDAR, RADAR
",
"notes": ""
},
{
"id": "mvkqtmqg",
"text": "Proximity
",
"notes": ""
},
{
"id": "nyrzmqha",
"text": "IMUs, Force",
"notes": ""
}
]
},
{
"id": "ptpxkfcs",
"text": "Actuators",
"notes": "",
"children": [
{
"id": "kvekfyzv",
"text": "DC Motors, Servo Motors",
"notes": ""
},
{
"id": "fqjnjnhz",
"text": "Hydraulic Systems
",
"notes": ""
},
{
"id": "hpazkaid",
"text": "Pneumatic Systems
",
"notes": ""
},
{
"id": "xvdsdroq",
"text": "Soft
",
"notes": ""
}
]
}
]
},
{
"id": "ykuvugyv",
"text": "Perception & Computer Vision",
"notes": "",
"children": [
{
"id": "hjusovze",
"text": "Image Processing",
"notes": "",
"children": [
{
"id": "emhsesrw",
"text": "Filters",
"notes": ""
},
{
"id": "wykhpklb",
"text": "Edge Detection",
"notes": ""
}
]
},
{
"id": "veodvtms",
"text": "Computer Vision",
"notes": "",
"children": [
{
"id": "jrrmkwzx",
"text": "Feature Extraction (SIFT, ORB)",
"notes": ""
},
{
"id": "wntfqsbj",
"text": "Object Detection (YOLO, SSD)",
"notes": ""
}
]
},
{
"id": "wwnfqojm",
"text": "Sensor Fusion",
"notes": "",
"children": [
{
"id": "czdpzalt",
"text": "Kalman Filter",
"notes": ""
},
{
"id": "urfbbzew",
"text": "Particle Filter",
"notes": ""
}
]
}
]
},
{
"id": "gwhexkpl",
"text": "Motion Planning & Localization",
"notes": "",
"children": [
{
"id": "vdlphdyx",
"text": "Path Planning",
"notes": "",
"children": [
{
"id": "padihskb",
"text": "A*, Dijkstra",
"notes": ""
},
{
"id": "xlkogslo",
"text": "RRT, PRM",
"notes": ""
}
]
},
{
"id": "cewrlcje",
"text": "Localization",
"notes": "",
"children": [
{
"id": "lpbukodd",
"text": "SLAM",
"notes": ""
},
{
"id": "nswmxwge",
"text": "Visual SLAM",
"notes": ""
}
]
},
{
"id": "mjpymban",
"text": "Trajectory Optimization",
"notes": "",
"children": [
{
"id": "nqdsrmwx",
"text": "Kinematic Constraints",
"notes": ""
},
{
"id": "rcbmfhwe",
"text": "Dynamic Constraints",
"notes": ""
}
]
}
]
},
{
"id": "vwqkxldn",
"text": "Artificial Intelligence",
"notes": "",
"children": [
{
"id": "wstekorp",
"text": "Machine Learning",
"notes": "",
"children": [
{
"id": "akxeovdj",
"text": "Supervised & Unsupervised",
"notes": ""
},
{
"id": "gqbfipjg",
"text": "Reinforcement",
"notes": ""
}
]
},
{
"id": "ltdjkoyy",
"text": "Deep Learning",
"notes": "",
"children": [
{
"id": "erapiuuh",
"text": "Neural networks",
"notes": ""
},
{
"id": "sdzotmpt",
"text": "CNNs for vision",
"notes": ""
}
]
},
{
"id": "teabimeg",
"text": "NLP",
"notes": "",
"children": [
{
"id": "iqmyiwrw",
"text": "Speech Recognition",
"notes": ""
},
{
"id": "pwygyxnk",
"text": "Human-Robot Interaction",
"notes": ""
}
]
}
]
},
{
"id": "nafowadq",
"text": "Programming & Simulation",
"notes": "",
"children": [
{
"id": "xayjxlks",
"text": "Languages",
"notes": "",
"children": [
{
"id": "oxlabbpb",
"text": "Python, C++, MATLAB",
"notes": ""
}
]
},
{
"id": "xlzpzvhr",
"text": "Robot Operating System",
"notes": "",
"children": [
{
"id": "mpkwfbxp",
"text": "Nodes, Topics, Services",
"notes": ""
},
{
"id": "wcrltefb",
"text": "Gazebo, RViz",
"notes": ""
}
]
},
{
"id": "zthyjdkp",
"text": "Embedded Systems",
"notes": "",
"children": [
{
"id": "skxnehyx",
"text": "Arduino",
"notes": ""
},
{
"id": "tutmebth",
"text": "RTOS",
"notes": ""
}
]
}
]
},
{
"id": "zbjsqite",
"text": " Swarm Robotics",
"notes": "",
"children": [
{
"id": "mbsjqsub",
"text": "Swarm Intelligence",
"notes": ""
},
{
"id": "oltyohjc",
"text": "Multi-Agent Systems",
"notes": ""
},
{
"id": "yafyteso",
"text": "Distributed Coordination",
"notes": ""
}
]
},
{
"id": "wxqizzxx",
"text": "Advanced Robotics",
"notes": "",
"children": [
{
"id": "sjfihijq",
"text": "Soft Robotics",
"notes": "",
"children": [
{
"id": "tkdrqrep",
"text": "Bio-Inspired Actuators",
"notes": ""
},
{
"id": "yltueivo",
"text": "Shape Memory Alloys",
"notes": ""
}
]
},
{
"id": "hmsmmfxx",
"text": "Quantum Robotics",
"notes": "",
"children": [
{
"id": "pdhyldrz",
"text": "Quantum Sensors",
"notes": ""
},
{
"id": "vyfjdpsa",
"text": "Quantum Computing",
"notes": ""
}
]
},
{
"id": "ijubpwqx",
"text": "Cloud Robotics",
"notes": "",
"children": [
{
"id": "uukofiui",
"text": "IoT Integration",
"notes": ""
},
{
"id": "hufsqtks",
"text": "Edge Computing",
"notes": ""
}
]
}
]
},
{
"id": "lokviavl",
"text": "Human-Robot Interaction",
"notes": "",
"children": [
{
"id": "sgrdspul",
"text": "Gesture Recognition",
"notes": ""
},
{
"id": "afmfwbui",
"text": "Haptic Feedback",
"notes": ""
},
{
"id": "pyvrwvtw",
"text": "Social Robots",
"notes": ""
}
]
},
{
"id": "loxntxxu",
"text": "Research & Development",
"notes": "",
"children": [
{
"id": "rhcstpoj",
"text": "Ethics in Robotics",
"notes": ""
},
{
"id": "ulvypmko",
"text": "Experimental Methodologies",
"notes": "",
"children": [
{
"id": "zhenfupv",
"text": "Simulation",
"notes": ""
},
{
"id": "iolefepi",
"text": "Field Testing",
"notes": ""
}
]
},
{
"id": "ugfrrvrb",
"text": "Emerging Trends",
"notes": "",
"children": [
{
"id": "dwydveyi",
"text": "Autonomous Vehicles",
"notes": ""
},
{
"id": "xcnzqsig",
"text": "Space Robotics",
"notes": ""
}
]
}
]
}
]
}
]
}
}