Mastering the A-Z of Data Science & Machine Learning

3.9 ★★★ ★ ★

Mastering the A-Z of Data Science & Machine Learning

Name: Mastering the A-Z of Data Science &amp; Machine Learning
Rating: 3.9 (330 reviews)
Author: AISciences

Data Science Python-Learn Statistics for Data Science, Machine Learning for Data Science, Deep Learning for Data Science

updated on icon Updated on Apr, 2024

language icon Language - English

person icon AISciences

category icon Python,Data Science and AI ML,Machine Learning

Lectures -725

Resources -1

Duration -94 hours

3.9 ★★★ ★ ★

Add to Cart Buy Now

30-days Money-Back Guarantee

Training 5 or more people ?

Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.

Course Description

Electrification was, without a doubt, the greatest engineering marvel of the 20th century. The electric motor was invented way back in 1821, and the electrical circuit was mathematically analyzed in 1827. But factory electrification, household electrification, and railway electrification all started slowly several decades later.

Fast forward to today. It’s the same story with Artificial Intelligence (AI). The field of AI was formally founded in 1956. But it’s only now—more than six decades later—that AI is expected to revolutionize the way humanity will live and work in the coming decades.

Data science is a large field of study that covers data systems and processes. These systems and processes are aimed at maintaining data sets as well as getting meaning out of them. Machine Learning (ML), a branch of AI, is the concept that systems can automatically learn and adapt from experience without human intervention. ML, essentially, aims to equip machines with independent learning techniques.

Mastering the A-Z of Data Science & Machine Learning

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to the Course
3 Lectures

Introduction to the Course and Your Instructor 21:33 21:33
Introduction to Instructor 02:19 02:19
Course Code Notebooks and Materials

Basics for Data Science: Python for Data Science and Data Analysis
89 Lectures

Basics for Data Science: Data Understanding and Data Visualization with Python
97 Lectures

Basics for Data Science: Mastering Probability and Statistics in Python
124 Lectures

Machine Learning: Machine Learning Crash Course
51 Lectures

Machine Learning: Feature Engineering and Dimensionality Reduction with Python
67 Lectures

Deep learning: Artificial Neural Networks with Python
119 Lectures

Deep learning: Convolutional Neural Networks with Python
81 Lectures

Deep learning: Recurrent Neural Networks with Python
94 Lectures

Instructor Details

AISciences

We are a group of experts, PhDs, and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science.

Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.

Our courses have had phenomenal success. Our Courses have helped more than 100,000 students to master AI and Data Science.

✅ Stay Connected to Us.

👉 Twitter: https://twitter.com/AISciencesLearn

👉 Facebook: https://www.facebook.com/AISciencesLearn

👉 LinkedIn: https://www.linkedin.com/company/ai-sciences/

👉 Website: http://www.aisciences.io

✅ For Business Inquires: contact@aisciences.io

Course Certificate

Use your certificate to make a career change or to advance in your current career.