Public Notes by chase_ats Tagged #machine_learning

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#music #consultants #ideas #machine_learning #Data #data_mining #automation #B2B #motivation #steal #pub
"Collect, store, work: Your Mac paperless office DEVONthink saves all your documents, keeps them organized, and recalls them whenever you need them. Now there's no need to store Office files, PDFs, bookmarks or other information in separate apps." "Let someone else remember all the details DEVONthink is smart. It not only searches all your documents almost instantaneously, it also finds connections between them, extracts the most relevant topic words, or files documents automatically." "Invite your friends using Windows or Linux Share your databases on a local network on even the Internet using DEVONthink Pro Office's built-in web server. A password lets your team mates in and keeps prying eyes out." #Mac #iOS #apps #productivity #organization #knowledge_bases #evernote #alternatives #machine_learning #productivity_fun #Data #pub
Using Twitter right now #algorithms #ideas #copy #breakdowns #explanations #overview #ratings #web_hosting #social_media #machine_learning #basic #pub
"Need help getting started with Genetic Algorithms, Neural Networks or Swarm Intelligence? Clever Algorithms: Nature-Inspired Programming Recipes Nature-Inspired Algorithms are Fascinating! But implementing them can be frustrating. The algorithm descriptions are incomplete, inconsistent and distributed across academic papers, websites and code. There are so many algorithms to choose from, it can feel overwhelming. Get An Algorithms Handbook You need a handbook of algorithm recipes! Each algorithm is described in a consistent and structured way with a working code example. You need Clever Algorithms: Nature-Inspired Programming Recipes. Clever Algorithms is a handbook of recipes for computational problem solving. Algorithms in the book are drawn from sub-fields of Artificial Intelligence such as Computational Intelligence, Biologically Inspired Computation, and Metaheuristics. This 438-page PDF ebook contains... ...45 algorithm descriptions practice usage heuristics for each algorithm ...pseudo-code listing of each algorithm ...code listings of each algorithm in Ruby (source code files included) ...references for further reading including the primary sources for each algorithm 45 Algorithm Descriptions The book includes an introduction to artificial intelligence and related fields as well as advanced topics like algorithm testing and visualization. The 45 algorithms are grouped into chapters, as follows: Stochastic Algorithms: Random Search, Adaptive Random Search, Stochastic Hill Climbing, Iterated Local Search, Guided Local Search, Variable Neighborhood Search, GRASP, Scatter Search, Tabu Search and Reactive Tabu Search. Evolutionary Algorithms: Genetic Algorithm, Genetic Programming, Evolution Strategies, Differential Evolution, Evolutionary Programming, Grammatical Evolution, Gene Expression Programming, Learning Classifier System, NSGA and SPEA. Physical Algorithms: Simulated Annealing, Extremal Optimization, Harmony Search, Cultural Algorithm and the Memetic Algorithm Probabilistic Algorithms: PIBL, UMDA, Compact Genetic Algorithm, Bayesian Optimization Algorithm and the Cross-Entropy Method. Swarm Algorithms: Particle Swarm Optimization, Ant System, Ant Colony Optimization, Bees Algorithm and the Bacterial Foraging Optimization Algorithm. Immune Algorithms: Clonal Selection Algorithm, Negative Selection Algorithm, Artificial Immune Recognition System, Immune Network Algorithm and the Dendritic Cell Algorithm. Neural Algorithms: Perceptron, Back-Propagation, Hopfield Network, Learning Vector Quantization and the Self-Organizing Map. All algorithm descriptions include a working implementation of the algorithm in Ruby. The standalone ruby files for each algorithm are also included in your download." #books #ruby #algorithms #machine_learning #data_science #paid #ebooks #price:$17 #freemium #free #lists #pub
This is the free online version #algorithms #books #data_science #ebooks #free #freemium #lists #machine_learning #paid #price:$17 #ruby #pub
reinventing itself as a "location intelligence company for business"...."In the spring of 2016, Foursquare CEO Jeff Glueck went on CNBC to make a bold prediction: Chipotle comparable sales would fall by 29 percent in its first quarter.....Two weeks after Glueck’s appearance on CNBC, the Mexican eatery reported sales had fallen 29.7 percent from a year earlier....Three of the top five hedge funds are using Foursquare data to give them an investing edge." ----- Again though actual Foursquare money or stats is barely there. The article repeats twice the goal is $100M in revenue for 2017. No indication if it is realistic, has a good chance of happening, etc. No mention of 2016 revenue or numbers. So I mean come on! What we do know is "And inside Foursquare, Glueck has effectively redefined how to measure its own success. The company managed to raise $45 million in 2016, reportedly at half the $650 million valuation it commanded in 2013. Glueck won’t comment on that. He simply says the company was misunderstood, and now investors recognize that it’s a location intelligence company -- something that should be measured the same way as a services-as-a-software or programmatic advertising firm, which command a fraction of the multiples of sexy social media companies. With the new funding round, Glueck crafted a fresh “cap table,” which means the distribution of ownership was reconstituted. (That’s often the case when a company raises money in a “down round.”)" #startups #revenue #foursquare #boss #machine_learning #data_analytics #data_driven #data_mining #revenue_model #journalism #year_2017 #pub
This doesn't give ANY actual stats or info. Complete fluff lol. The only info they give is revenue is in triple-digit growth each year for the past three years (2012, 2013, 2014, maybe 2015). #foursquare #revenue #boss #machine_learning #data_analytics #data_driven #data_mining #startups #revenue_model #journalism #year_2015 #pub
"Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. Analyze images uploaded in the request or integrate with your image storage on Google Cloud Storage." -- Also OCR and "Power of the Web Vision API uses the power of Google Image Search to find topical entities like celebrities, logos, or news events. Combine this with Visually Similar Search to find similar images on the web." -- Get $300 credit when you sign up to Google Cloud Platform. Maybe more from elsewhere. #APIs #google #freemium #pay-as-you-go #machine_learning #pub