New courses with Audio and Video Lectures in all departments from MIT OpenCourseWare, provider of free and open MIT course materials. https://ocw.mit.edu/courses/av/ 2020-09-04T12:52:58+05:00 MIT OpenCourseWare https://ocw.mit.edu en-US Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. 8.962 is MIT's graduate course in general relativity, which covers the basic principles of Einstein's general theory of relativity, differential geometry, experimental tests of general relativity, black holes, and cosmology.  https://ocw.mit.edu/courses/physics/8-962-general-relativity-spring-2020 Spring 2020 Hughes, Scott 2020-08-26T14:12:46+05:00 8.962 en-US relativity general relativity special relativity linearized general relativity spacetime Einstein's equation E = mc2 gravitation gravitational waves gravitational lensing cosmology Schwarzschild solution black holes MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. This self-paced course was originally designed to help prepare incoming MIT students for their first Introductory Biology Course (known at MIT as 7.01). It will also be useful for anyone preparing to take an equivalent college-level introductory biology class elsewhere. It includes lecture videos, interactive exercises, problem sets, and one exam.  Lecture Topics: Molecules of Life, The Cell and How it Works, Information Transfer in Biology, Inheritance and Genetics, and Building with DNA.Go to OCW’s Open Learning Library site for Pre-7.01: Getting up to Speed in Biology. The site is free to use, just like all OCW sites. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.       https://ocw.mit.edu/resources/res-7-001-pre-7-01-getting-up-to-speed-in-biology-summer-2019 Summer 2019 Ray, Diviya Sive, Hazel 2020-08-21T15:02:01+05:00 en-US MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures, AV special element audio. This introductory undergraduate course covers the fundamentals of microeconomics. Topics include supply and demand, market equilibrium, consumer theory, production and the behavior of firms, monopoly, oligopoly, welfare economics, public goods, and externalities.  Chalk Radio Podcast Prof. Jonathan Gruber was featured in an episode of OpenCourseWare's podcast, Chalk Radio. In the episode "Thinking Like an Economist," Prof. Gruber talks about how he engages students in 14.01 with accessible real world examples. Listen to the episode on Apple Podcasts.   https://ocw.mit.edu/courses/economics/14-01-principles-of-microeconomics-fall-2018 Fall 2018 Gruber, Jonathan 2020-07-16T20:12:26+05:00 14.01 en-US microeconomics supply and demand market equilibirum consumer theory production monopoly oligopoly welfare economics public goods externalities MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. This course introduces quantitative approaches to understanding brain and cognitive functions. Topics include mathematical description of neurons, the response of neurons to sensory stimuli, simple neuronal networks, statistical inference and decision making. It also covers foundational quantitative tools of data analysis in neuroscience: correlation, convolution, spectral analysis, principal components analysis, and mathematical concepts including simple differential equations and linear algebra. https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-40-introduction-to-neural-computation-spring-2018 Spring 2018 Fee, Michale Zysman, Daniel 2020-06-26T17:37:54+05:00 9.40 en-US timescale of diffusion length scales Fick's First Law Ohm's Law and resistivity charge drift neurons injected currents membrane capacitance RC model differential equations Integrate and Fire model batteries of neuron circuit diagram HH Model voltage clamp time dependence potassium current conductance Hodgkin-Huxley gating variables sodium channel dendrite leaky dendrite non-leaky dendrite length constant dendritic radius electrotonic length two-compartment model equivalent circuit model synaptic transmission convolution linear kernel spike train synaptic saturation somatic inhibition dendritic inhibition extracellular spike waveforms local field potentials local field potentials spike signals low-pass high-pass threshold crossing peri-stimulus time histogram PSTH firing rate smoothing spike train linear filter Spatio-temporal Receptive Field STRF Spike Triggered Average Poisson Process Fano Factor Interspike Interval ISI convolution cross-correlation autocorrelation Fourier series complex fourier series fourier transform discrete fourier transform Fast Fourier Transform FFT power spectrum Fourier transform pairs Gaussian Noise Spectral estimation Shannon-Nyquist Theorem zero padding line noise removal windows and tapers spectrograms multi-taper spectral analysis DPSS filtering methods rate model vector notation vector algebra perceptrons neuronal logic linear separability invariance two-layer feedforward networks matrix algebra matrix transformations linear independence eigenvectors eigenvalues covariance matrix Principal Components Analysis PCA recurrent networks autapse networks storing memories decision-making winner-take-all Hopfield network capacity long-term memory short-term memory energy landscape MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement, mapping, tracking, spam filtering, fraud detection, wireless communication, drug discovery, and bioinformatics all attempt to find items of interest in vast quantities of data. This course teaches a signal processing approach to these problems by combining linear algebraic graph algorithms, group theory, and database design. This approach has been implemented in software. The class will begin with a number of practical problems, introduce the appropriate theory, and then apply the theory to these problems. Students will apply these ideas in the final project of their choosing. The course will contain a number of smaller assignments which will prepare the students with appropriate software infrastructure for completing their final projects. https://ocw.mit.edu/resources/res-ll-005-mathematics-of-big-data-and-machine-learning-january-iap-2020 January IAP 2020 Kepner, Jeremy Gadepally, Vijay 2020-06-25T12:22:34+05:00 en-US machine learning big data artificial intelligence AI data analytics data processing dynamic distributed dimensional data model D4M associate arrays group theory entity analysis perfect Power Law bio sequence correlation Accumulo Kronecker graphs MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV special element video. The Climate 101 presentation was developed by Brandon Leshchinskiy in collaboration with Professor Dava Newman, MIT Portugal, and EarthDNA in an effort to mobilize young people as educators on the issue of climate change. The presentation addresses not only the science but also the economics and civics of climate change, incorporating a negotiation activity that brings key concepts to life. This resource includes the slides and instructions for the presentation, along with an introductory video from Prof. Newman, a video of Leshchinskiy actually delivering the presentation to a classroom full of students, and extensive supporting materials that will help users to become climate ambassadors and deliver the Climate 101 presentation themselves. https://ocw.mit.edu/resources/res-env-003-earthdnas-climate-101-fall-2019 Fall 2019 Leshchinskiy, Brandon Newman, Dava 2020-06-01T19:41:15+05:00 en-US climate change education public policy presentations global warming carbon emissions MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. This course examines classical and modern developments in graph theory and additive combinatorics, with a focus on topics and themes that connect the two subjects. The course also introduces students to current research topics and open problems. https://ocw.mit.edu/courses/mathematics/18-217-graph-theory-and-additive-combinatorics-fall-2019 Fall 2019 Zhao, Yufei 2020-05-12T17:36:18+05:00 18.217 en-US graph theory additive combinatorics Ramsey theory Schur’s theorem Mantel’s theorem Turán’s theorem Erdős-Stone-Simonovits theorem Kővári-Sós-Turán theorem Szemerédi’s graph regularity lemma triangle counting lemma triangle removal lemma Roth’s theorem hypergraph removal lemma Green-Tao theorem martingale convergence theorem Freiman’s theorem Ruzsa triangle inequality Ruzsa covering lemma Balog-Szémeredi-Gowers theorem Szemerédi-Trotter theorem MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. 7.016 Introductory Biology provides an introduction to fundamental principles of biochemistry, molecular biology, and genetics for understanding the functions of living systems. Taught for the first time in Fall 2013, this course covers examples of the use of chemical biology and twenty-first-century molecular genetics in understanding human health and therapeutic intervention. The MIT Biology Department Introductory Biology courses 7.012, 7.013, 7.014, 7.015, and 7.016 all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material. https://ocw.mit.edu/courses/biology/7-016-introductory-biology-fall-2018 Fall 2018 Imperiali, Barbara Martin, Adam Ray, Diviya 2020-05-12T13:01:52+05:00 7.016 en-US biochemistry molecular biology genetics human genetics pedigrees biochemical genetics molecular biology chemical biology molecular genetics recombinant DNA technology cell biology cancer viruses HIV bacteria antibiotics human health therapeutic intervention cell signaling evolution reproduction infectious diseases therapeutics MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. These six brief videos, recorded in 2020, contain ideas and suggestions from Professor Strang about the recommended order of topics in teaching and learning linear algebra. The first topic is called A New Way to Start Linear Algebra. The key point is to start right in with the columns of a matrix A and the multiplication Ax that combines those columns.That leads to The Column Space of a Matrix and the idea of independent columns and the factorization A = CR that tells so much about A. With good numbers, every student can see dependent columns.The remaining videos outline very briefly the full course: The Big Picture of Linear Algebra; Orthogonal Vectors; Eigenvalues & Eigenvectors; and Singular Values & Singular Vectors. Singular values have become so important and they come directly from the eigenvalues of A'A.You can see this new idea developing in the first video lecture of Professor Strang’s 2019 course 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning. https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020 Spring 2020 Strang, Gilbert 2020-05-05T12:38:28+05:00 en-US linear algebra matrix matrices column space orthogonal vectors eigenvalues eigenvectors singular values singular vectors, factorization A = CR SVD MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures, AV special element audio. This is a three-day workshop that took place during the MIT Independent Activities Period (IAP) in January, 2019. This workshop aims to provide information for students to prepare for the FAA Private Pilot Knowledge Test. Topics include airplane aerodynamics, aircraft systems, navigation, meteorology, aircraft ownership and maintenance, aircraft performance, multi-engine and jets. https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-687-private-pilot-ground-school-january-iap-2019 January IAP 2019 Greenspun, Philip Srivastava, Tina 2020-04-27T15:47:24+05:00 16.687 en-US flight training FAA Private Pilot Knowledge Exam aerodynamics navigation aircraft performance aircraft ownership and maintenance flight planning small UAS operations multi-engine and jets MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. This course is for students wishing to explore blockchain technology's potential use—by entrepreneurs and incumbents—to change the world of money and finance. The course begins with a review of Bitcoin and an understanding of the commercial, technical, and public policy fundamentals of blockchain technology, distributed ledgers, and smart contracts. The class then continues on to current and potential blockchain applications in the financial sector.  https://ocw.mit.edu/courses/sloan-school-of-management/15-s12-blockchain-and-money-fall-2018 Fall 2018 Gensler, Gary 2020-01-23T15:47:37+05:00 15.S12 en-US blockchain money bitcoin cryptocurrency cryptography finance networks MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. Patrick Winston's How to Speak talk has been an MIT tradition for over 40 years. Offered every January during the Independent Activities Period (IAP), usually to overflow crowds, the talk is intended to improve your speaking ability in critical situations by teaching you a few heuristic rules. Professor Winston's collection of rules is presented along with examples of their application in job-interview talks, thesis defenses, oral examinations, and lectures.About Professor WinstonA professor at MIT for almost 50 years, Patrick Winston was director of MIT’s Artificial Intelligence Laboratory from 1972 to 1997 before it merged with the Laboratory for Computer Science to become MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). He led CSAIL’s Genesis Research Group, which focused on developing a computational account of human intelligence and how human intelligence differs from that of other species, with special attention to modeling human story comprehension. Professor Winston passed away on July 19, 2019.   https://ocw.mit.edu/resources/res-tll-005-how-to-speak-january-iap-2018 January IAP 2018 Winston, Patrick Henry 2019-12-20T19:19:37+05:00 en-US communication public speaking job interviews lectures presentations slides oral exams using props MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. Everything around us is made from different chemical elements: carbon, silicon, iron, and all the other elements from the Periodic Table. The lighter elements were mostly produced in the Big Bang, but the rest were (and are) formed within stars and in the explosions of supernovae. In this series of short lecture videos, created to accompany her book Searching for the Oldest Stars: Ancient Relics from the Early Universe (Princeton University Press, 2019), Professor Anna Frebel reveals the secrets of stardust and explains the cosmic origin of the elements. https://ocw.mit.edu/resources/res-8-007-cosmic-origin-of-the-chemical-elements-fall-2019 Fall 2019 Frebel, Anna 2019-09-27T11:41:10+05:00 en-US stars telescopes heavy elements astronomy stellar archeology chemical elements supernovae MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. 6.172 is an 18-unit class that provides a hands-on, project-based introduction to building scalable and high-performance software systems. Topics include performance analysis, algorithmic techniques for high performance, instruction-level optimizations, caching optimizations, parallel programming, and building scalable systems. The course programming language is C. https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-172-performance-engineering-of-software-systems-fall-2018 Fall 2018 Leiserson, Charles Shun, Julian 2019-09-23T14:50:26+05:00 6.172 en-US performance analysis algorithmic techniques high performance instruction level optimization cache optimization memory optimization parallel programming scalable distributed systems software engineering MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures, AV special element audio. This course provides an introduction to nuclear science and its engineering applications. It describes basic nuclear models, radioactivity, nuclear reactions, and kinematics; covers the interaction of ionizing radiation with matter, with an emphasis on radiation detection, radiation shielding, and radiation effects on human health; and presents energy systems based on fission and fusion nuclear reactions, as well as industrial and medical applications of nuclear science. https://ocw.mit.edu/courses/nuclear-engineering/22-01-introduction-to-nuclear-engineering-and-ionizing-radiation-fall-2016 Fall 2016 Short, Michael 2019-09-20T18:50:46+05:00 22.01 en-US ionizing radiation natural radiation half-life radioactive decay dose calculation radiation protection radiation shielding hormesis nuclear power nuclear energy biological effects of radiation food irradiation radiation risk radioactive dating MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. This course is an advanced treatment of biochemical mechanisms that underlie biological processes. Topics include macromolecular machines such as the ribosome, the proteasome, fatty acid synthases as a paradigm for polyketide synthases and non-ribosomal polypeptide synthases, and polymerases. Emphasis will be given to the experimental methods used to unravel how these processes fit into the cellular context as well as the coordinated regulation of these processes. https://ocw.mit.edu/courses/chemistry/5-08j-biological-chemistry-ii-spring-2016 Spring 2016 Stubbe, JoAnne Nolan, Elizabeth 2019-08-01T17:33:53+05:00 5.08J 7.08J 7.80 en-US ribosome proteosome fatty acid synthases polyketide synthases non-ribosomal polypeptide synthases polymerases protein synthesis protein folding protein degradation PK synthase NRP synthase isoprenoids cholesterol homeostasis metal ion homeostasis reactive oxygen species NOX2 proteins NOX isozymes nucleotide metabolism purine nucleotide metabolism pyrimidine nucleotide metabolism deoxynucleotide biosynthesis MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. Bitcoin and other cryptographic currencies have gained attention over the years as the systems continue to evolve. This course looks at the design of Bitcoin and other cryptocurrencies and how they function in practice, focusing on cryptography, game theory, and network architecture. https://ocw.mit.edu/courses/media-arts-and-sciences/mas-s62-cryptocurrency-engineering-and-design-spring-2018 Spring 2018 Narula, Neha Dryja, Tadge 2019-07-12T19:15:18+05:00 MAS.S62 en-US Signatures hashing hash chains e-cash motivation Proof of Work Mining Transactions the UTXO model Synchronization process pruning SPV wallet types OP_RETURN Catena Forks Peer-to-peer networks PoW other fork types Fees Transaction malleability segregated witness Payment channels Lightning Network Cross-chain Swaps Discreet Log Contracts MAST Taproot Graftroot Anonimity Coinjoin Signature Aggregation Confidential Transactions Ethereum smart contracts Proof of Work at Industrial Scales Alternative consensus mechanisms New Directions in Crypto zkLedger MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures, AV special element audio. This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. It covers the topics including multilevel implementation strategies, definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level elements. It also includes analysis of potential concurrency, precedence constraints and performance measures, pipelined and multidimensional systems, instruction set design issues and architectural support for contemporary software structures. https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-004-computation-structures-spring-2017 Spring 2017 Terman, Chris 2019-07-12T18:32:34+05:00 6.004 en-US computation computation structure primitives, gates instructions procedures processes concurrency instruction set design software structure digital system MOS transistor logic gate combinational circuit sequential circuit finite-state machines computer architecture programming RISC processor MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures. This course focuses on science and technology policy—it will examine the science and technology innovation system, including case studies on energy, computing, advanced manufacturing, and health sectors, with an emphasis on public policy and the federal government's role in that system. https://ocw.mit.edu/courses/science-technology-and-society/sts-081-innovation-systems-for-science-technology-energy-manufacturing-and-health-spring-2017 Spring 2017 Bonvillian, William 2019-07-10T17:43:30+05:00 STS.081 17.395J en-US innovation systems case studies advanced manufacturing health sectors public policy economic growth science policy technology policy energy medical science economic models society federal government energy innovation public agencies MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm Includes audio/video content: AV lectures, AV special element audio. Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning. https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018 Spring 2018 Strang, Gilbert 2019-05-16T15:05:00+05:00 18.065 18.0651 en-US data analysis signal processing image processing machine learning linear algebra computation singular value decomposition least squares weighted least squares covariance matrices correlation matrices directed graphs undirected graphs matrix factorizations neural nets MIT OpenCourseWare https://ocw.mit.edu Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm