50 Artificial Intelligence & Machine Learning Terms Every Beginner Should Know

#100Devs #100DaysOfCode 50 AI/ML Terms For Beginners
1 Weak AI
2 Variation
3 Variance
4 Validation data
5 Unsupervised learning
6 Turing test
7 Transfer learning
8 Training data
9 Test data
10 Supervised learning
11 Strong AI
12 Sentiment analysis
13 Semantic annotation
14 Reinforcement learning
15 Model
16 Predictive analytics
17 Pattern recognition
18 Parameter
19 Overfitting
20 Underfitting
21 Natural language understanding (NLU)
22 Natural language processing (NLP)
23 Natural language generation (NLG)
24 Neural network
25 Machine translation
26 Machine Learning
27 Machine intelligence
28 Intent
29 Label
28 Linguistic annotation
31 Hyperparameter
32 General AI
33 Forward chaining
34 Entity extraction
35 Entity annotation
36 Deep learning
37 Dataset
38 Data science
39 Data mining
40 Corpus
41 Computational learning theory
42 Cognitive computing
43 Chatbot
44 Bounding box
45 Big data
46 Bias
47 Backward chaining
48 Autonomous
49 Artificial intelligence
50 Algorithm

• • •

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More from @_jaydeepkarale

Jul 4
A quick thread on types of Machine Learning Algorithms if you are just getting started.

#100Devs #100DaysOfCode Image
On a broad level ML algorithms are are of 4 types

1️⃣ Supervised Learning
2️⃣ Semi supervised learning
3️⃣ Unsupervised learning
4️⃣ Reinforcement

Let's explore what they mean & see further bifurcation of them
1️⃣ Supervised Learning

• A machine is taught by example
• A known dataset which includes desired inputs & outputs are provided

• The algo needs to find patterns in the input dataset, learns from observations & makes prediction with high acchrai
Read 8 tweets
May 23
"Do Not Reinvent The Wheel" if you are building a SaaS or any Product

Concentrate on solving "the" problem rather than spending time trying to build solutions which already exist to be reused

Some classic examples below(feel free to add more) 👇👇

#100DaysOfCode #100Devs
{ @Uber @Olacabs }

✅Solved transport🚗
⛔Did not waste time building Geolocation, Payments, SmS/OTP sending solutions
{ @Airbnb }

✅Solved : Temporary housing/renting🏡

⛔Did not waste time building hostels, hotels, motels, payments infra etc.
Read 7 tweets
May 21
5 habits to practice for a happier life 👇👇👇
⏳ Manage your time by

> Having a schedule
> Stop feeling obligated to say "yes" to everyone & everything
⛹️ Keep your body moving by

> Talking a walk early in the morning
> Play a sport you enjoy
Read 6 tweets
May 16
Content Ideas are unlimited but only if you look in the correct place.

Here are 5 awesome websites that help you generate unlimited content

#100DaysOfCode
{ Roadmap.sh }

🟠 Helps you write roadmaps for various paths as a software engineer be it FrontEnd, Backend, Devops. Image
{ overapi.com }

🟠 Cheatsheets are a good way to generate content, headover to Overapi to find cheatsheets for tons of technologies Image
Read 7 tweets
May 5
The popularity of Python comes from the fact that it has a rich set of libraries & frameworks available for numerous usecases.

Today we look at some realworld applications & the available Python framework/library for it

#100DaysOfCode #Python #MachineLearning #DataScience
{ Web Development }

1⃣ @djangoproject
2⃣ Flask
3⃣ @FastAPI
4⃣ Sanic
{ Machine Learning }
1⃣ Pandas
2⃣ Numpy
3⃣ Keras
4⃣ PyTorch
5⃣ Scikit-Learn
6⃣ Matplotlib
7⃣ TensorFlow
8⃣ Seaborn
Read 8 tweets
Apr 15
Logging in #Python is something I want to master. So, starting #30DaysOfLogging from tomorrow.

Time to go from Zero(almost) To Hero.
#Day1 Basics Of Logging

1. We need logging to tell us what's happening in our code
2. Python has an inbuilt logging module which can be imported
3. DEBUG, INFO, WARNING, ERROR & CRITICAL are the level of logging available.
4. WARNING is the default logging level
#100DaysOfCode Image
#Day2

The whole purpose of logging is to be able to write events to a file. This is how you can do it

If you are Python Version > 3.9 then you can use the logging.basicConfig

#100DaysOfCode #Python Image
Read 32 tweets

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