Professional Certificate in Data Mining & Machine Learning

Learn All the Skills to Become a Data Mining & Machine Learning Scientist [2022] [COMPREHENSIVE MASTERCLASS]

What you'll learn
Machine Learning - [A -Z] Comprehensive Training with Step by step guidance
Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, SVM, Random Forest)
Unsupervised Learning - Clustering, K-Means clustering
Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded
Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
Deep Convolutional Generative Adversarial Networks (DCGAN)
Java Programming For Data Scientists
Python Programming Basics For Data Science
Algorithm Analysis For Data Scientists
Self-supervised learning in Computer Vision

AutoNovel: Automatically Discovering and Learning Novel Visual Categories [code]
Image Search multilingual text2image search for 50+ languages [code]
Basic classification: Classify images of clothing [code] Basic text classification - Code [ TensorFlow ] Audio recognition: Recognizing keywords
Deep Learning Masterclass 2022 : Deep Learning Introduction , Deep Reinforcement Learning ,Computer Vision, Deep Learning for Human Sensing

Requirements
Computer
Description
Machine Learning and artificial intelligence (AI) is everywhere; if you are curious to learn how companies like Google, Amazon, Youtube and even Udemy extract meaning and insights from massive data sets, this data mining & machine learning course will provide you the knowledge you require.

In this comprehensive masterclass, you’ll learn everything you’ve been too afraid to ask about machine learning. There’s no prior coding required.



Academy of Computing & Artificial Intelligence proudly presents you the course "Professional Certificate in Data Mining & Machine Learning".

It all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2020.

To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance]. Each & every step is clearly explained. [Guided Tutorials]

"While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn.



Course Learning Outcomes

To provide a solid awareness of Supervised & Unsupervised learning coming under Machine Learning

Explain the appropriate usage of Machine Learning techniques.

To build appropriate neural models from using state-of-the-art python framework.

To build neural models from scratch, following step-by-step instructions.

To build end - to - end effective solutions to resolve real-world problems

To critically review and select the most appropriate machine learning solutions

python programming is also inclusive.



Requirements

A computer with internet connection

Passion & commitment



At the end of the Course you will gain the following



Setting up the Environment for Python Machine Learning



Understanding Data With Statistics & Data Pre-processing 



Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate Selection



Data Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..



Artificial Neural Networks with Python, KERAS



KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step



Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]



Naive Bayes Classifier with Python [Lecture & Demo]



Linear regression



Logistic regression



Introduction to clustering [K - Means Clustering ]



K - Means Clustering



Deep Learning Masterclass 2022 : Deep Learning Introduction , Deep Reinforcement Learning ,Computer Vision, Deep Learning for Human Sensing

Additionally this course covers Java, python programming (A to Z), Web Development, Natural Language Processing, Deep Learning, Algorithms, Generative Adversarial Network and many more.


Does the course get updated?

We  continually update the course as well.

What if you have questions?

we offer full support, answering any questions you have.



There’s no risk !



The topics in this course come from an analysis of real requirements in data scientist, Data mining , Machine learning job listings from the biggest and famous tech employers. We'll cover the machine learning, AI, and data mining techniques real employers are looking for

This course provides a sound introduction to machine learning, datamining, supervised learning, unsupervised learning, deep learning and many more

· Any student in college/ University who wants to start a career in Data Science, Data mining , Machine Learning

· Any data analysts who want to level up in Machine Learning.

· Anyone who is not satisfied with their 			  			 	   			 	  		  		  		  		  		  		  		  		   			 	   		  		  	 			   		   	  		 	    		 	 	  	 			   		 			  		  		  	 			   		  		  		    			 job and who wants to become a Data Scientist.

· Anyone who wants to create added value to their business by using powerful Machine Learning tools.

· For anyone who does not have prior knowledge on programming. We have comprehensive chapters on python, Java programming, web development, Algorithms etc..



Real world projects with Source code and Guidance



Real world Machine Learning projects are implemented and the source code is provided in this course. You will be able to complete your research project successfully.



Self-supervised learning in Computer Vision [code]

AutoNovel: Automatically Discovering and Learning Novel Visual Categories [code]

Facebook AI Releases ‘BlenderBot 2.0’: An Open Source Chatbot [code]

Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval [code]

Image Search multilingual text2image search for 50+ languages [code]

Real-Time Super-Resolution System of 4K-Video Based on Deep Learning[Code,Paper]

Basic classification: Classify images of clothing [code]

Basic text classification   - Code [ TensorFlow ]

Audio recognition: Recognizing keywords [code]

TensorFlow 2 quickstart for beginners [code]

Introduction to Autoencoders [code]



Our Bestselling Machine Learning masterclass “Professional Certificate in Data Mining & Machine Learning” from Academy of Computing and Artificial Intelligence, UK, will make you a Champion.

We have provided sample Machine Learning projects with sourcecodes which you can use in your profile and projects.

The topics in this course come from an analysis of real requirements in data scientist, Machine learning engineer job listings from the biggest tech employers.

Join our class for a wonderful journey of Machine Learning and a rewarding career.



We  continually update the course.

Last Update : 5/2/2022 - Updated with latest Deep Learning series & Sections

Who this course is for:
Any student in college who wants to start a career in Data Science, Data mining , Machine Learning
Any data analysts who want to level up in Machine Learning
Anyone who is not satisfied with their job and who wants to become a Data Scientist
Anyone who wants to create added value to their business by using powerful Machine Learning tools
For anyone who does not have prior knowledge on programming. We have comprehensive chapters on python, Java programming, web development, Algorithms etc[/code][/code][/code][/code][/code][/code][/code][/code][/code][/code][/code][/code]