Brand new AI Certification From Huawei! — AISeries — Episode #08


Remember when I said this:

I will fight for it. I will not give up. I will reach my goal. Absolutely nothing will stop me.

by J3

Episode #01#AISeries

There you have it!

Related Posts

00#Episode — AISeries — ML — Machine Learning Intro — What Is It and How It Evolves Over Time?

When should I use pandas DataFrame?#PySeries#Episode 31

Let’s see Pandas DATAFRAMES again! Google colab notebook link:)

import numpy as np
import pandas as pd
%matplotlib inline
import matplotlib.pyplot as plt'seaborn-whitegrid')
import numpy as np

02# Let’s create a simple Graphic…

A Complete Colab Notebook Using Skit-learn — Based on Alice Zhao Post — AISeries — Episode #07

Hi, this time we tried an interesting project: delicacy o/

Muffins vs Cupcakes — What’s the difference? Image From — This analysis tends to answers these questions: Is muffing a cupcake with random bits of stuff in it? Is cupcakes just a muffin with frosting?
Although the cupcake is usually decorated, the shape and appearance are very similar. But the real difference is in the preparation technique.

Cupcake is a cup-sized cake. The cupcake recipe uses techniques for preparing the cake dough. And the muffin is considered a quick roll.
Is muffing a cupcake with random bits of stuff…

A Complete Colab Notebook Using the Breast Cancer Data Set from UCI — AISeries — Episode #06

Hi, we going to apply the SVM — Support Vector Machine in the UCI database that comes into the scikit-learn: colab notebook link.

import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as sns%matplotlib inline

02#Step — Let’s download the Breast Cancer Dataset from the Skit-Learn:

from sklearn.datasets import load_breast_cancercancer  = load_breast_cancer()print(cancer.DESCR)[basically what this is it's 569 instances with 30 numeric attributes and…

A Complete Colab Notebook Using the Default of Credit Card Clients Data Set from UCI — AISeries — Episode #05

In this post, we going to understand the Support Vector Machine Algorithm using scikit-learn.

Fig 1. Linearly separable data

However, even if the data is perfectly separable in this way there are many possible linear boundaries that could be used.

Final Jamie Anderson Wins Gold | Sochi 2014 Winter Olympics GeoGSeries# Episode #02

Gif 1. Jamie Anderson, the 2014 slopestyle gold medalist and the most decorated slopestyle snowboarder in U.S. history; source:

Even More annotation from Huawei Mock Exam — AISeries — Episode #04

Hi, I am back!

01# Regarding (GD) Optimizers, please analyze these: True or False?
02# Regarding Support Vector Machines (SVM): True or False?
03# Which of…

Getting Intuition About Complex Math & More — AISeries — Episode #03

Hi, this post just presents a collection of images, Graph, and Gifs to Make You Grasp New Concepts Faster of Artificial Intelligence, ML, and DL ;)

More annotation from Huawei Mock Exam — AISeries —Episode #02

Hi, this post is based on careful scrutiny of the HCIA-AI V3.0 Mock Exam.

Index:01 — What Is Huawei HiLens?
02 — What is Graph-Based Segmentation? Does MindSpore have automatic Graph segmentation?
03 — What does Softmax activation do?
04 — How to Use Grid Search in scikit-learn? What does it take to use it in ML?
05 - Which is better Adam or SGD?
06 — What is the idea behind Ensemble Methods?
07 — How can you Improve…

How do I get an HCIA certificate? — AISeries — Episode #01

How do I get a Huawei HCIA certificate?

Index:01 — Do Pytorch and TensorFlow support GPU Accelerations?
02 — What Is ModelArts?
03 — What is the difference between ANN, CNN, and RNN?
04 — Is Highway Network a Recurrent Neural Network?
05 - What is the Vanishing Gradient Problem (vgp)?
06 — What are the TensorFlow ranks and tensors?
07PyTorch use Lua Programming Language?
08 — What is HUAWEI HiAI Foundation?
09 — What is MindSpore?
10 —…


Hi, Guys o/ I am J3! J of Jungle + 3 Plats Arduino/RPi/Pic; I am just a hobbyist, making studies in electronics to come up with an invention. Welcome! Join me!

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store