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.