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Job SpotlightData Scientist - Centers for Medicare and Medicaid ServicesAdvanced Analytics Manager - Central California Alliance for HealthSenior Data Analyst - New York LifeData Scientist - Upstart (Columbus, Ohio)Web Analytics Technical Implementation Manager - Nth DegreeData Scientist - Upstart (San Carlos, California)Featured JobsData Scientist - Georgia Policy LabsPrincipal Data Scientist - Chick-fil-AData Scientist, Content Analytics - SpotifySenior Data Engineer - Hotels - TripAdvisorMachine Learning Engineer - Connect - TwitterSoftware Engineer - National Security AgencySenior Engineer - Machine Learning - American ExpressBig Data and Cloud Platform Support Analyst - Mercedes-Benz USASales Ops Data Analyst - UPSSenior Software Development Engineer - IMDb.comSenior Data Scientist - The New York TimesStatistician/Data Scientist - Harvard Business SchoolFull Stack Software Engineer - PayPalData Scientist - AppleData Scientist - Electronic Arts (EA)Software Engineer, Data Warehouse - PinterestData Scientist, Analytics - FacebookScientist, Data Science - Johnson&JohnsonManager- Data Science - TwitterCheck out the most recent jobs on AnalyticTalent.comFeatured BlogOnline Encyclopedia of Statistical Science (Free)This online book is intended for beginners, college students and professionals confronted with statistical analyses. It is also a refresher for professional statisticians. The book covers over 600 concepts, chosen out of more than 1,500 for their popularity. Entries are listed in alphabetical order, and broken down into 18 parts. In addition to numerous illustrations, we have added 100 topics not covered in our online series Statistical Concepts Explained in Simple English. We also included a number of visualizations from our series Statistical Concepts Explained in One Picture. Download here (members only).Upcoming DSC Webinars and ResourcesData Science Based Decisions: Mixed-Integer ProgrammingWhat Is Inclusive Data Storytelling, And Why Does it Matter?ML vs Holt-Winters ForecastingMaximizing Data Science Applications and Model DevelopmentSee More

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By Ajit Jaokar. This post is a part of my forthcoming book on Mathematical foundations of Data Science. In this post, we use the Perceptron algorithm to bridge the gap between high school maths and deep learning. BackgroundAs part of my role as course director of the Artificial Intelligence: Cloud and Edge Computing at the University of Oxford, I see more students who are familiar with programming than with mathematics.They have last learnt maths years ago at University. And then, suddenly they find that they encounter matrices, linear algebra etc when they start learning Data Science.Ideas they thought they would not face again after college! Worse still, in many cases, they do not know where precisely these concepts apply to data science.If you consider the maths foundations needed to learn data science, you could divide them into four key areasLinear AlgebraProbability Theory and StatisticsMultivariate CalculusOptimizationAll of these are taught (at least partially) in high schools (14 to 17 years of age). In this book, we start with these ideas and co-relate them to data science and AI.Read full article here. See More

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Job SpotlightAdvanced Analytics Manager - Central California Alliance for HealthSenior Data Analyst - New York LifeData Scientist - Upstart (Columbus, Ohio)Web Analytics Technical Implementation Manager - Nth DegreeData Scientist - Upstart (San Carlos, California)Featured JobsPrincipal Data Scientist - Chick-fil-AStaff Data Scientist - Valassis DigitalData Science Manager - MozillaSr Data Scientist - Business Economics - UberSenior Software Development Engineer - IMDb.comSenior Data Scientist - The New York TimesSenior Data Scientist - MicrosoftData Scientist - Electronic Arts (EA)Data Scientist – Infrastructure Engineering Insights - SpotifyDirector, Data Science - ComcastSr. UI Engineer - PayPalHealthcare Data Scientist - PhilipsSoftware Engineer, Data Warehouse - PinterestData Engineer / Scientist (Spark + AI 2019) - AppleData Scientist - eBayData Scientist, Analytics - FacebookCheck out the most recent jobs on AnalyticTalent.comFeatured BlogHow to learn the maths of Data Science using your high school maths knowledgeIn this post, we use the Perceptron algorithm to bridge the gap between high school maths and deep learning. Welcome comments. Read full article.DSC Podcast SeriesAI: Extracting the Hidden Value in Unstructured DataWith the help of Natural Language Processing (NLP), AI solutions can automatically extract critical business insights and emerging trends from large amounts of structured and unstructured content. Join this podcast to hear the benefits and challenges of NLP and understand SAS’ hybrid approach to the technology. Download here.See More