Published 1/2024
Created by EDUCBA Bridging the Gap
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 110 Lectures ( 13h 9m ) | Size: 5.1 GB
Get to grips with TensorFlow. Become an AI, Machine Learning, and Deep Learning expert.
What you’ll learn:
Practical implementation with comprehensive examples of canonical machine learning, and supervised and unsupervised machine learning
Deep learning and image-classification examples, and time series predictive model examples
Effectively use TensorFlow in your production system, including framing a task in each task example
Fundamentals of machine learning
Requirements:
Mac / Windows / Linux – all operating systems work with this course!
No previous TensorFlow knowledge required. Basic understanding of Machine Learning is helpful
Description:
Have you been looking for a course that teaches you effective machine learning in TensorFlow? Or have you always wanted an efficient and skilled working knowledge of how to solve problems that can’t be explicitly programmed through the latest machine learning techniques? If you’re familiar with pandas and NumPy, this course will give you up-to-date and detailed knowledge of all practical machine learning methods, which you can use to tackle most tasks that cannot easily be explicitly programmed; you’ll also be able to use algorithms that learn and make predictions or decisions based on data. The theory will be underpinned with plenty of practical examples, and code example walk-throughs. The course aims to make you highly efficient at constructing algorithms and models that perform with the highest possible accuracy based on the success output or hypothesis you’ve defined for a given task.TensorFlow experts earn up to $204,000 USD a year, with the average salary hovering around $148,000 USD according to 2023 statistics. By passing this certificate, which is officially recognized by Google, you will be joining the growing Machine Learning industry and becoming a top paid TensorFlow developer! If you pass the exam, you will also be part of Google’s TensorFlow Developer Network where recruiters are able to find you. The goal of this course is to teach you all the skills necessary for you to go and pass the exam and get your TensorFlow Certification from Google so you can display it on your resume, LinkedIn, Github and other social media platforms to truly make you stand out. By the end of this course, you will be able to comfortably solve an array of industry-based machine learning problems by training, optimizing, and deploying models into production. Being able to do this effectively will allow you to create successful prediction and decisions for the task in hand.
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