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    Data Science And Machine Learning | Data Science | Tableau 9 Advanced Training Master Tableau For Data Science 2015 | Machine Learning | Machine Learning Coursera | Learning C | A Com Learning | Data Mining Data Warehousing | Learning From Data | Agile Data Science
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    Data Science Machine Learning algorithms in Matlab


    Data Science Machine Learning algorithms in Matlab

    Data Science: Machine Learning algorithms in Matlab
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 23 | 316 MB
    Genre: eLearning | Language: English

    A-Z Guide to Implementing Classic Machine Learning Algorithms From Scratch and with Matlab and maths.


    Data Science Machine Learning algorithms in Matlab



    Data Science Machine Learning algorithms in Matlab

    Data Science: Machine Learning algorithms in Matlab
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 23 | 316 MB
    Genre: eLearning | Language: English
    A-Z Guide to Implementing Classic Machine Learning Algorithms From Scratch and with Matlab and maths.


    Data Science Machine Learning algorithms in Matlab



    Data Science Machine Learning algorithms in Matlab

    Data Science: Machine Learning algorithms in Matlab
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 23 | 316 MB
    Genre: eLearning | Language: English


    Data Science Machine Learning algorithms in Matlab



    Data Science Machine Learning algorithms in Matlab

    Data Science: Machine Learning algorithms in Matlab
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 23 | 316 MB
    Genre: eLearning | Language: English


    Machine Learning The Ultimate Guide for Beginners and Starters



    Machine Learning The Ultimate Guide for Beginners and Starters

    Machine Learning: The Ultimate Guide for Beginners and Starters (Artificial Intelligence, Algorithms, Data Science, Machine Learning For Beginners)
    English | 2017 | ASIN: B073NLM5LK | 33 pages | AZW3/PDF/EPUB (conv) | 0.5 Mb
    Use This Helpful Guide to Start Your Machine Learning Experience Now!


    Practical Machine Learning Cookbook



    Practical Machine Learning Cookbook

    Practical Machine Learning Cookbook by Atul Tripathi
    English | April 14th, 2017 | ISBN: 1785280511, 9781785280511 | 559 pages | True PDF | 16.28 MB
    Machine learning has become the new black. The challenge in today's world is the explosion of data from existing legacy data and incoming new structured and unstructured data. The complexity of discovering, understanding, performing analysis, and predicting outcomes on the data using machine learning algorithms is a challenge. This cookbook will help solve everyday challenges you face as a data scientist. The application of various data science techniques and on multiple data sets based on real-world challenges you face will help you appreciate a variety of techniques used in various situations.


    Packt Publishing - Practical Python Data Science Techniques



    Packt Publishing - Practical Python Data Science Techniques

    Packt Publishing - Practical Python Data Science Techniques
    English | Size: 489.80 MB
    Category: Tutorial
    Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise.

    This course takes a practical approach to Data Science, presenting solutions for common and not-so-common problems in the form of recipes. This video will begin from exploring your data using the different methods like data acquisition, data cleaning, data mining, machine learning, and data visualization, applied to a variety of different data types like structured data or free-form text. It will show how to deal with text using different methods like text normalization and calculating word frequencies. The audience will learn how to deal with data with a time dimension and how to build a recommendation system as well as about supervised learning problems (regression and classification) and unsupervised learning problems (clustering). They will learn how to perform text preprocessing steps that are necessary for every text analysis applications. Specifically, the course will cover tokenization, stop-word removal, stemming and other preprocessing techniques.


    Packt Publishing - Machine Learning for Data Science



    Packt Publishing - Machine Learning for Data Science

    Packt Publishing - Machine Learning for Data Science
    English | Size: 4.39 GB
    Category: CBTs
    A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.

    A 3 hour course that will help you to genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.

    Unlock the secrets of understanding Machine Learning for Data Science! In this introductory course, the "Backyard Data Scientist" will guide you through wilderness of Machine Learning for Data Science. This introductory course not only explains Machine Learning, but where it fits in the "techno sphere around us", why it's important now, and how it will dramatically change our world today and for days to come.


    Packt Publishing - Learning Path - From Python Programming to Data Science



    Packt Publishing - Learning Path - From Python Programming to Data Science

    Packt Publishing - Learning Path - From Python Programming to Data Science
    English | Size: 4.54 GB
    Category: CBTs
    Python has become the language of choice of data scientists for performing data analysis, visualization, and machine learning. If you're looking forward to implementing Python in your data science projects to enhance data discovery, then this is the perfect Learning Path for you. Starting out at the basic level, this Learning Path will take you through all the stages of data science in a step-by-step manner.

    We begin this journey with nailing down the fundamentals of Python. You'll be introduced to basic and advanced programming concepts of Python before moving on to data science topics. Then, you'll learn how to perform data analysis by taking advantage of the core data science libraries in the Python ecosystem. You'll also get a better understanding of the data visualization concepts, how to apply them, and how you can overcome any challenges while implementing them. Moving ahead, you'll learn to use a wide variety of machine learning algorithms to solve real-world problems. Finally, you'll learn deep learning along with an introduction to TensorFlow.

    By the end of the Learning Path, you'll be able to efficiently make use of Python in your data science projects.


    Machine Learning with Python Understanding Machine Learning with Python in the World of Data Science



    Machine Learning with Python Understanding Machine Learning with Python in the World of Data Science

    Machine Learning with Python: Understanding Machine Learning with Python in the World of Data Science
    English | 2017 | ASIN: B073D2BHX6 | 45 pages | PDF + EPUB + AZW3 (conv) | 1 Mb
    Are you struggling with finding your way out from Data Science and all of its obstacles?


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Hollywood Portraits Hot-Light Techniques for Professional
Lou Szoke, "Hollywood Portraits: Hot-Light Techniques for Professional
Hoist & Haul 2015 Proceedings of the International
Hoist & Haul 2015: Proceedings of the International Conference on Hoisting
Guilty Money The City of London in Victorian and Edwardian
Ranald C Michie, "Guilty Money: The City of London in Victorian and Edwardian
Guidelines for Cloud Seeding to Augment Precipitation (3rd
Guidelines for Cloud Seeding to Augment Precipitation (3rd edition) By Conrad
The Big Bang Theory S11E13 HDTV x264-SVA
The Big Bang Theory S11E13 HDTV x264-SVA Size: 165 MiB | Duration: 00:20:52 |
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The Big Bang Theory S11E13 720p HDTV x264-AVS Size: 626 MiB | Duration:
Professor Marston And The Wonder Women 2017 BDRip x264-DRONES
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