The Beginners' Guide to map, zip, and filter Functions in Python
Author(s): Chetan Ambi Originally published on Towards AI. Syntax: Photo by Jude Infantini on Unsplash At first, the usage of map, zip, and filter functions seem intimidating for beginners in Python programming. The goal of this article is to provide you details …
Machine Learning Interview Questions-1
Author(s): Gundluru Chadrasekhar Originally published on Towards AI. Careers, Machine Learning Photo by JESHOOTS.COM on Unsplash A Machine Learning Engineer has to cover the breadth concepts in ML, DL , Probability , Stats, and coding with a good depth of understanding . …
The SimCLRv2 Framework
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. A huge, Self-Learning Algorithm usually performs much better… Img_Credit Huge Self-Supervised Models are Strong Semi-Supervised learners.. IntroductionKey insightResultsWhy it mattersI’m thinkingThe era of Computer Vision is upon us… U+007C Img_Credit The long-standing problem …
NLP News Cypher | 09.13.20
Author(s): Ricky Costa Originally published on Towards AI. The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 09.13.20 Aere Perrenius Welcome back. Hope you enjoyed your week! We have another update that came in this …
PySpark process Multi char Delimiter Dataset
Author(s): Vivek Chaudhary Originally published on Towards AI. Programming The objective of this article is to process multiple delimited files using Apache spark with Python Programming language. This is a real-time scenario where an application can share multiple delimited file,s and the …
What is Perspective Warping? | OpenCV and Python
Author(s): G SowmiyaNarayanan Originally published on Towards AI. A step-by-step guide to applying a perspective transformation on images Computer vision is all abuzz now. People everywhere are working on some form of deep-learning-based computer vision projects. But before the advent of Deep …
A Probabilistic Algorithm to Reduce Dimensions: t — Distributed Stochastic Neighbor Embedding (t-SNE)
Author(s): Rajvi Shah Originally published on Towards AI. Top highlight Data Visualization One of the best techniques to reduce dimensions and visualize data based on probabilistic scores. Source: Medium Data Visualization plays a crucial role in real-time Machine Learning applications. Visualizing data …
Deep Learning (CNN) — Discover the Breed of a Dog in an Image
Author(s): Saniya Parveez Originally published on Towards AI. Deep Learning Introduction Convolutional Neural Networks (CNNs) are deep learning networks, which are excellent in object recognition of images. Its design is inspired by a part of the brain called the visual cortex. The …
NLP News Cypher | 09.20.20
Author(s): Ricky Costa Originally published on Towards AI. Ibrahim Jabbar-Beik NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 09.20.20 EMNLP and Graphs U+1F635 U+261D Persian art is pretty. Welcome back for another week of the Cypher. Yesterday, we made another …
Best Data Science Books — Free and Paid — Editorial Recommendations for 2022
Author(s): Towards AI Editorial Team Originally published on Towards AI. AI Community ↓ Towards AI Source: Derivative from original, Photo by Ivo Rainha on Unsplash Last updated January 1, 2022 Join our AI community with thousands of data leaders. Support us, collaborate …
Building An End to End Deep Learning Model with Deployment on AWS Cloud using Amazon Sagemaker
Author(s): Anurag Bisht Originally published on Towards AI. Cloud Computing, Deep Learning Image courtesy: Amazon Web Services The objective of this post is to guide you through building an end to end machine learning pipeline involving deep learning and object detection using …
And Data Asks, “Do I Look Normal to You?”
Author(s): Sanket Shinde Originally published on Towards AI. Data Science Normality tests for data science It is very important as a data analyst or data scientist, one has to assess a sample data at first, source of sample data can be primary …
Overview of Exploratory Data Analysis (EDA) With Haberman Dataset
Author(s): Rajvi Shah Originally published on Towards AI. Data Analysis A practical guide to get started to gain insights from your data. Reference: mc.ai “Data will talk, if you are willing to listen”- Jim Bergeson With the proper use of data, one …
NLP News Cypher | 09.27.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Vinícius Henrique Photography on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 09.27.20 Legends Hey…welcome back! Loads of research came out this week! But FYI, we couldn’t fit every …
Building an End to End Search Engine Chatbot for the website using Amazon Lex, Google Knowledge Graph, and CloudFront
Author(s): Anurag Bisht Originally published on Towards AI. Google Knowledge Graph Search API | Google Developers Image Courtesy: AWS Chabot term was coined from the original term “ChatterBot” created back in 1994, the term itself says a machine that can do human …
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