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AI options and machine studying techniques have revolutionized every thing from the best way we work to the best way we be taught. It has achieved an inflection level and is shaping the way forward for humanity. The highest international tech giants corresponding to Google, Microsoft, Amazon, Apple, Meta, Tesla, and so forth are investing closely within the upgradation and improvement of AI functions. Furthermore, in response to a report by Priority Analysis:
“The worldwide synthetic intelligence (AI) market measurement was estimated at US$ 119.78 billion in 2022 and it’s anticipated to hit US$ 1,597.1 billion by 2030 with a registered CAGR of 38.1% from 2022 to 2030”
These current developments within the market now demand a extra skillful workforce on this sector and have merged as one of many highest-paying fields. Having stated so, in case you are a Newbie Python Programmer with a eager curiosity in machine studying and synthetic intelligence then this text is for you, so carry on studying.
FreeCodeCamp has launched a FREE TensorFlow 2.0 Full Course – Python Neural Networks for Rookies Tutorial in collaboration with Tim Ruscica, in any other case often called “Tech With Tim” from his academic programming YouTube channel. This 7-hour course teaches about elementary ideas in ML & AI like core studying algorithms, deep studying with neural networks, laptop imaginative and prescient with convolutional neural networks, pure language processing with recurrent neural networks, and reinforcement studying. Let’s bounce over to what it covers:
Stipulations
This course requires you to have a primary information of programming utilizing Python. You probably have not labored with python earlier than, then I might personally advocate you to take “Study Python – Free Course for Rookies by FreeCodeCamp” first earlier than transferring over to this one.
Course content material
The course is split into the next 8 Modules:
Module 1: Machine studying fundamentals
This module begins by explaining the fundamental terminology that shall be used all through the course like Machine Studying, Synthetic Intelligence, Neural Networks, and so forth. It additionally discusses the significance of information. What are the labels, and options? And the way does the neural community work?
Module 2: Introduction to TensorFlow
This module walks by means of the next matters:
TensorFlow Set up and Setup
Representing Tensors
Tensor Form and Rank
Kinds of Tensors
Module 3: Core studying algorithms
This module covers the 4 elementary machine studying algorithms. These algorithms have been utilized to distinctive issues and datasets after highlighting the use circumstances of every. The 4 algorithms mentioned are
Linear Regression
Classification
Clustering
Hidden Markov Fashions
Module 4: Neural Networks with TensorFlow
This module goes over the next subtopics:
How does the neural community work?
Making a neural community
Information preprocessing
Constructing and coaching the mannequin
Evaluating the mannequin
Making and verifying the predictions
Module 5: Deep laptop imaginative and prescient – Convolutional Neural Networks
On this module, we’re taught how you can carry out picture classification and object detection/recognition utilizing deep laptop imaginative and prescient with convolutional neural community and explains the next ideas:
Picture Information
Convolutional Layer
Pooling Layer
CNN Architectures
Module 6: Pure language processing with RNNs
A brand new form of neural community that’s way more able to processing sequential information corresponding to textual content or characters referred to as a recurrent neural community (RNN) is launched right here. It explains how you can use a recurrent neural community to do the next:
Sentiment Evaluation
Character Era
Module 7: Reinforcement studying with Q-Studying
That is the ultimate subject within the course that covers Reinforcement Studying and makes use of a distinct approach to make predictions. The matters mentioned on this module are as follows:
Fundamental Terminology
Q-Studying
Q-Studying Instance
Module 8: Conclusion and subsequent steps
This module recommends a few of the sources as the following steps to additional your studying in TensorFlow.
In case you are to dig deeper into this course then test this course video beneath:
This course contains complete explanations and varied coding examples for every module. Upon completion, you’ll have a robust understanding of the basic ideas in machine studying and AI, in addition to the power to use them to your information and particular points. Kanwal Mehreen is an aspiring software program developer with a eager curiosity in information science and functions of AI in drugs. Kanwal was chosen because the Google Era Scholar 2022 for the APAC area. Kanwal likes to share technical information by writing articles on trending matters, and is obsessed with enhancing the illustration of girls in tech trade.
