Professional Certificate in Data Mining & Machine Learning

Professional Certificate in Data Mining & Machine Learning
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch

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
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

Image Search multilingual text2image search for 50+ languages 

Basic classification: Classify images of clothing  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

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



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]



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 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 



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 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 



AutoNovel: Automatically Discovering and Learning Novel Visual Categories 



Facebook AI Releases 'BlenderBot 2.0': An Open Source Chatbot 



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



Image Search multilingual text2image search for 50+ languages 



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



Basic classification: Classify images of clothing 



Basic text classification   - Code [ TensorFlow ]



Audio recognition: Recognizing keywords 



Introduction to Autoencoders 



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 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]