Smart Data Collective

OCTOBER 14, 2019

They’re looking to hire experienced data analysts, data scientists and data engineers. With big data careers in high demand, the required skillsets will include: Apache Hadoop. Software businesses are using Hadoop clusters on a more regular basis now. Machine Learning. Other coursework.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

Pickl AI

AUGUST 1, 2023

In this article, we will explore the concept of applied text mining in Python and how to do text mining in Python. Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? How To Do Text Mining in Python?

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

Towards AI

JANUARY 6, 2025

Natural language processing, computer vision, data mining, robotics, and other competencies are strengthened in the course. Prior experience in Python, ML basics, data training, and deep learning will come in handy for a smooth ride ahead. Generative AI with LLMs course by AWS AND DEEPLEARNING.AI

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence AI AI 105

Mlearning.ai

APRIL 10, 2023

No Problem: Using DBSCAN for Outlier Detection and Data Cleaning Photo by Mel Poole on Unsplash DBSCAN stands for Density-Based Spatial Clustering of Applications with Noise. DBSCAN works by partitioning the data into dense regions of points that are separated by less dense areas. Image by the author. Image by the author.

Algorithm 52

Algorithm Clustering Cross Validation Machine Learning 52

Towards AI

JUNE 27, 2023

Scikit Learn Scikit Learn is a comprehensive machine learning tool designed for data mining and large-scale unstructured data analysis. With an impressive collection of efficient tools and a user-friendly interface, it is ideal for tackling complex classification, regression, and cluster-based problems.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Pickl AI

MAY 29, 2024

Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. Python and R are popular due to their extensive libraries and ease of use.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

JANUARY 23, 2023

It supports languages like Python and R and processes the data with the help of data flow graphs. It is an open-source framework that is written in Python and can efficiently operate on both GPUs and CPUs. Keras supports a high-level neural network API written in Python. It is an open source framework.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

JUNE 7, 2023

You can make use of HOG algorithm for orientation gradients and use Python library for creating and viewing HOG representations. Kaggle Bike Sharing Bike-sharing systems is one of the best Data Science project on Github that allows you to book and rent motorbikes/bicycles and return them. or greater for operations and download.

Data Science 52

Data Science Deep Learning Deep Learning Clustering 52

phData

FEBRUARY 7, 2024

Snowpark is the set of libraries and runtimes in Snowflake that securely deploy and process non-SQL code, including Python, Java, and Scala. On the server side, runtimes include Python, Java, and Scala in the warehouse model or Snowpark Container Services (public preview).

Python 52

Python ML ML SQL 52

Pickl AI

NOVEMBER 5, 2024

The global Data Science Platform Market was valued at $95.3 To meet this demand, free Data Science courses offer accessible entry points for learners worldwide. With these courses, anyone can develop essential skills in Python, Machine Learning, and Data Visualisation without financial barriers.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

MARCH 7, 2024

Summary: In 2024, mastering essential Data Science tools will be pivotal for career growth and problem-solving prowess. Tools like Seaborn, R, Python, and PyTorch are integral for extracting actionable insights and enhancing career prospects. Platforms like Pickl.AI It provides tensor computations with strong GPU acceleration.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

OCTOBER 14, 2024

Role in Extracting Insights from Raw Data Raw data is often complex and unorganised, making it difficult to derive useful information. Data Analysis plays a crucial role in filtering and structuring this data. Techniques: Data Visualisation: Graphs, charts, and plots to help visualise trends and outliers.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

MAY 16, 2023

Expansive Hiring The IT and service sector is actively hiring Data Scientists. In fact, these industries majorly employ Data Scientists. Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. Highlight Your Experience Don’t miss this part. Wrapping it up !!!

Data Scientist 52

Data Scientist Data Science SQL Python 52

Pickl AI

JULY 18, 2023

There are different programming languages and in this article, we will explore 8 programming languages that play a crucial role in the realm of Data Science. 8 Most Used Programming Languages for Data Science 1. Python: Versatile and Robust Python is one of the future programming languages for Data Science.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

Synergy Between Artificial Intelligence and Data Science AI and Data Science complement each other through their unique but interconnected roles in data processing and analysis. Data Science involves extracting insights from structured and unstructured data using statistical methods, data mining, and visualisation techniques.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

MARCH 10, 2023

Challenge #1: Data Cleaning and Preprocessing Data Cleaning refers to adding the missing data in a dataset and correcting and removing the incorrect data from a dataset. On the other hand, Data Pre-processing is typically a data mining technique that helps transform raw data into an understandable format.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52

DagsHub

APRIL 21, 2024

Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. Kubernetes manages the deployment and scaling of containerized applications across a cluster of compute nodes , ensuring high availability and resource efficiency.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 18, 2025

We cover the setup process and provide a step-by-step guide to running a NeMo job on a SageMaker HyperPod cluster. is a flexible, IDE-independent Python-based framework that enables flexible integration in each developers workflow. Prerequisites First, you deploy a SageMaker HyperPod cluster before running the job.

Clustering 117

Clustering AWS Deep Learning Deep Learning 117

Dataconomy

APRIL 16, 2025

Here are some key categories: Data mining tools Data mining tools are instrumental in identifying patterns and trends within large datasets. Weka: Features user-friendly data mining processes including pre-processing and classification tasks.

Data Science 91

Data Science Data Mining Data Mining Data Mining 91