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    Master Data Recognition & Prediction in Python & TensorFlow

    Posted By: Sigha
    Master Data Recognition & Prediction in Python & TensorFlow

    Master Data Recognition & Prediction in Python & TensorFlow
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 12.1 GB
    Genre: eLearning Video | Duration: 154 lectures (21 hours, 35 mins) | Language: English

    Do you want analyze data? Model image & text datasets, predict the stock market & more with coding projects.

    What you'll learn

    Building Apps in Android Studio
    Overview of Python Programming
    Building a Simple Stock Market Prediction App
    Building Weather Prediction Models
    Object Localization on Mobile Devices
    Representing Numerical Data
    Converting Advanced Image Datasets
    And much more


    Requirements

    No prior experience necessary!
    We will take you through the steps of downloading and installing Android Studio, PyCharm, and Python.
    Some sections cover Xcode, which requires a Mac or MacOS software.

    Description

    Do you want to build machine learning models? This course is for you.

    Python, Java, PyCharm, Android Studio, MNIST, and more. Learn to code and build apps!

    Funded by a #1 Kickstarter Project

    Coding Fundamentals in the Java Language

    Building Data Models in TensorFlow

    Processing, Graphing, and Predicting Text Data

    Summarizing Text Data

    Recognizing Objects in Images

    Handling Image Datasets

    Recognizing Images for iOS and Android

    Explore machine learning concepts. Learn how to use TensorFlow 1.4 to build, train, and test machine learning models. We explore Python 3.6.2 and Java 8 languages, and how to use PyCharm 2017 and Android Studio 3 to build apps.

    A Machine Learning Framework for Everyone

    If you want to build sophisticated and intelligent mobile apps or simply want to know more about how machine learning works in a mobile environment, this course is for you.

    We provide clear, concise explanations at each step along the way so that viewers can not only replicate, but

    Understand and expand upon lectures and projects with 5-star Udemy instructor Nimish Narang from Mammoth Interactive. Other courses don’t do a great job of explaining exactly what is going on at each step in the process and why we choose to build models the way we do.

    Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the course Hands-On Machine Learning: Learn TensorFlow, Python, & Java!

    No Prior Knowledge Required

    We will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because it’s designed for beginners.

    Jump into a Field with ore Demand than Supply

    Machine learning changes everything. It’s bringing us self-driving cars, facial recognition and artificial intelligence. And the best part is: anyone can create such innovations.

    Who this course is for:

    Anyone can learn about machine learning in a mobile environment.

    Master Data Recognition & Prediction in Python & TensorFlow


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