Guide To AI & ML Developer Tools

A complete guide to master the most important tools used in machine learning by developers around the globe

3.75 (2 reviews)
Udemy
platform
English
language
Data Science
category
Guide To AI & ML Developer Tools
71
students
7.5 hours
content
Jan 2020
last update
$29.99
regular price

What you will learn

Introduction to Machine Learning

Pandas

Scipy

Data Visualization using Matplotlib

Tensorflow

Keras

Description

With self-driving cars, smart robots, to even your coffee machines, AI has become a prominent technology that cannot be overlooked. The integration of Artificial Intelligence is growing and businesses from multiple sectors are now looking to build technologies including AI to empower their strategies. This has increased the demands of AI & ML skilled experts. Considering this, we have curated this course that revolve around all the essential tools that are required by developers to build real-world AI & ML models.


Why you should take this course?


With machine learning as the future of technology, getting your hands on this type of development is crucial. However, it isn’t easy. This is why we have designed this course that covers a variety of different machine learning tools used by developer around the world. It includes in-depth information on libraries like Pandas, Matplotlib, Scipy and so much more.


This course includes :


  • How to get started with Anacondas and Jupyter

  • Brief introduction to Tensorflow and Keras

  • Data Exploration

  • Decision making algorithms

  • Clustering Techniques

  • Neural Networks

  • Practical projects and much more!


So, what are you waiting for? Enroll now into this course and we’ll see you on the other side!

Content

Anaconda and Jupyter

Introduction
Strategies for Learning Packages
Useful Features with Jupyter and Anaconda

Pandas

Loading and Describing Data
Dataframe Indexing
Exploring Real Data
Other Important Logic
Problem
Answer

Matplotlib

Introduction to matplotlib
Bar and Line Plots
Box Plots and Subplotting
Plotting with Real Data
Problem
Answer

Sklearn

Introduction to Machine Learning
Machine Learning Workflow
Cross-validation and Scoring
SVM and Visualizing Boundaries
Random Forest and Decision Trees
KNN and K-Means Clustering
GMMs and Visualizing Clusters
Problem
Answer

Scipy

Introduction to scipy Features
Audio Signals and Spectrograms
Image Processing and Fourier Transforms
Problem
Answer

TensorflowKeras

Introduction to Neural Networks
Introduction to Tensorflow and Keras
Building a Simple Neural Network in Keras
Problem
Answer

Project

Problem Statement
Solution

Charts

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Enrollment distribution

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2764120
udemy ID
1/17/2020
course created date
2/7/2020
course indexed date
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