Old Search System: Science Broadcast Full Package




  • Science News - 14 September 2019

    Science News - 14 September 2019English | True PDF | 36 Pages | 8.32 MB






  • Labvire - Science Research Powerpoint Template

    Labvire - Science Research Powerpoint TemplatePPTX






  • Data Science for Professionals

    Data Science for Professionals Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch...


    What you'll learn
    Students will be able to analyze, manipulate, explore, illustrate, and report data in ways that will set them far apart from those who use spreadsheets and other traditional Office products.
    Requirements
    No prior coding knowledge required
    Description
    What is it?
    Data Science for Professionals is simply the best way to gain...


  • Data Science with R - Beginners

    Data Science with R - Beginners Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100...


    What you'll learn
    Learn R programming, Reproducible Analysis and Data Manipulation
    Master data visualization, Learn working with Large Datasets, Supervised Learning and Unsupervised Learning
    Learn Object oriented Programming, start building an R package. Know more on Testing and Package and checking Version Control and Profiling and Optimizing
    Requirements
    No prior knowledge...


  • Science banner with vector molecules

    Science banner with vector molecules8 files | AI | 78 Mb





  • AudioJungle - Future Science Tech - 27270665

    AudioJungle - Future Science Tech - 27270665 2:56 MINUTE | 320 kbps | 16-Bit Stereo,...





  • Data Science:Hands-on Diabetes Prediction with Pyspark MLlib

    Data Science:Hands-on Diabetes Prediction with Pyspark MLlib Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac,...


    What you\'ll learn
    Diabetes Prediction using Spark Machine Learning (Spark MLlib)
    Learn Pyspark fundamentals
    Working with dataframes in Pyspark
    Analyzing and cleaning data
    Process data using a Machine Learning model using Spark MLlib
    Build and train logistic regression model
    Performance evaluation and saving model
    Requirements
    Basics of Python
    Description
    This is a Hands-on...


  • Motion Science - 2.5D Concepts

    MAX | FBX | TEX





  • Motion Science - Neon Techniques

    Motion Science - Neon Techniqueshttps://www.motionscience.tv/proflows+LEARN PRO WORKFLOWS, SKILLS, & TECHNIQUES IN PRACTICALLY EVERY AREA OF...





  • Motion Science - Wireframe Renders

    Motion Science - Wireframe Rendershttps://www.motionscience.tv/proflows+LEARN PRO WORKFLOWS, SKILLS, & TECHNIQUES IN PRACTICALLY EVERY AREA OF...





  • Motion Science - Lights & Shadows

    Motion Science - Lights & Shadowshttps://www.motionscience.tv/proflows+LEARN PRO WORKFLOWS, SKILLS, & TECHNIQUES IN PRACTICALLY EVERY AREA...





  • Motion Science - 2.5D Concepts

    Motion Science - 2.5D Conceptshttps://www.motionscience.tv/proflows+LEARN PRO WORKFLOWS, SKILLS, & TECHNIQUES IN PRACTICALLY EVERY AREA OF...





  • Oreilly - Python Data Science Essentials

    Oreilly - Python Data Science Essentials by Alberto Boschetti, Luca Massaron | Released June 2018...


    Become an efficient data science practitioner by understanding Python's key conceptsAbout This VideoQuickly get familiar with data science using Python 3.6Save time (and effort) with all the essential tools explainedCreate effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceIn DetailThe Python...


  • Oreilly - Statistics for Data Science

    Oreilly - Statistics for Data Science by James D. Miller | Released April 2018 |...


    Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural NetworksAbout This VideoNo need to take a degree in statistics, just go through this course and get a strong statistics base for data science and real-world programs;Implement statistics in data science tasks such as data cleaning,...


  • Oreilly - Data Science and Machine Learning Series: Julia for Data Science, Revisited

    Oreilly - Data Science and Machine Learning Series: Julia for Data Science, Revisited by Zacharias...


    Learn how Julia is used within data science today, including for Artificial Intelligence (AI) applications. See how Julia fits with existing programming paradigms and frameworks (such as Jupyter and Juno), understand why it is such a powerful and popular language for data science applications, and visit resources to learn more...


  • Oreilly - Data Science and Machine Learning Series: Privacy Matters in Data Science

    Oreilly - Data Science and Machine Learning Series: Privacy Matters in Data Science by Zacharias...


    Learn all about data privacy and how it can make or break your data science project. See how artificial intelligence (AI) can impact privacy, both positively and negatively. Understand the connection with GDPR and explore the privacy techniques of encryption, anonymization, and PCA.Here is a link to all of Zacharias...


  • Oreilly - Data Science and Machine Learning Series: AI Optimization Methods for Data Science

    Oreilly - Data Science and Machine Learning Series: AI Optimization Methods for Data Science by...


    This video covers the most popular Artificial Intelligence (AI) optimization methods for data science. There are five clips in this video series: Optimization Methods Overview. This first video in the series covers the rationale for optimization methods along with an overview to the main optimization tools, including deterministic, stochastic, and...


  • Oreilly - Data Science and Machine Learning Series: Machine Learning for Data Science

    Oreilly - Data Science and Machine Learning Series: Machine Learning for Data Science by Zacharias...


    What is machine learning and how can you apply it to data science projects? In this video we explain machine learning along with its variations (supervised learning, unsupervised learning, and heuristics), provide machine learning use cases, contrast machine learning with statistics, and discuss the various machine learning and AI tools...


  • Oreilly - Data Science and Machine Learning Series: Evaluating Data Science Material (Data Science Series)

    Oreilly - Data Science and Machine Learning Series: Evaluating Data Science Material (Data Science Series)...


    With all of the available data science material available to us, how do we determine which subset is truly valuable? This video will teach you how to find the diamonds in the data science haystack. Learn how to evaluate data science material. We will cover the criteria used to determine...


  • Oreilly - Data Science and Machine Learning Series: Data Science Ensembles

    Oreilly - Data Science and Machine Learning Series: Data Science Ensembles by Zacharias Voulgaris PhD...


    Learn about combining multiple data science models together to create an even more powerful model. Ensembles are a very powerful tool in data modeling, especially when it comes to raw performance. We cover an explanation of ensembles including the reasons the sum can be greater than the parts, the various...