Knowledge Hut

DECEMBER 26, 2023

In this list, you will find the best data scientist books to take you further in your career as a data scientist. Deep Learning By Ian Goodfellow, Yoshua Bengio, and Aaron Courville As an advanced learner, this book should be your Bible for learning about deep learning algorithms.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Knowledge Hut

JANUARY 18, 2024

Encourages Staff To Adopt Best Practices And Concentrate On Issues That Matter One of a data scientist's tasks is to guarantee that the organization's analytics product is well-known and understood by the personnel. They set the team up for success by demonstrating how to utilize the system effectively to extract insights and drive action.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

ProjectPro

FEBRUARY 16, 2023

AI can help BI tools provide clear, actionable insights from the study data. An AI-powered system can explain the significance of each data point at the granular level and help human operators understand how that data may be translated into real-world business decisions.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

U-Next

SEPTEMBER 23, 2022

Data aggregation and data mining are two essential techniques used in descriptive analytics to analyze historical data and find patterns and trends. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Descriptive Analytics. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

U-Next

AUGUST 8, 2022

Computing technology’s Machine Learning field works with software systems that allow the computer to learn through experiences and improve autonomously over time. What Are the Distinctions Between Machine Learning and Data Mining? Learning algorithms are applied in this processing system.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

Knowledge Hut

DECEMBER 6, 2023

Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field. You can opt for post-graduation programs and get qualified for trending fields like artificial intelligence, machine learning , and deep learning. 2-9 LPA.

Engineering 52

Engineering Computer Science Programming Language Education 52

U-Next

FEBRUARY 26, 2023

with the help of Data Science. Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Google has an entire division devoted to AI and Machine Learning: Google Brain.

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ProjectPro

JANUARY 24, 2023

The library supports scalable solutions by utilizing Python’s in-built iterators and generators for streamed data processing. This means the dataset is never loaded in the system’s RAM. It can be used for web mining, network analysis, and text processing. in a few lines of code.

Python 52

Python Project Programming Language Data Mining 52

Knowledge Hut

JANUARY 18, 2024

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. What Careers Can You Pursue In AI?

Medical 52

Medical Computer Science Scala Machine Learning 52

U-Next

SEPTEMBER 29, 2022

The algorithm includes a number of calculations necessary for AI and data mining assignments, such as bunching, relapse, and order. If you are just starting out in Machine Learning, Scikit-learn is a more-than-adequate tool until you start implementing increasingly complex calculations. . Tensorflow . if necessary. .

Management 52

Management Machine Learning Deep Learning Algorithm 52

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Knowledge Hut

JANUARY 22, 2024

Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems. These systems, in turn, generate insights that analysts and business users can translate into tangible business value. Want to learn more about Data Science in FinTech?

Data Science 52

Data Science Banking Big Data Insurance 52

U-Next

AUGUST 25, 2022

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. TensorFlow.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

Knowledge Hut

JANUARY 19, 2024

As you explore advanced data science topics, you discover the magic behind automating predictions and uncovering patterns in complex datasets. Paving the way for creating intelligent systems. Artificial Intelligence (AI) AI is the cool cousin of machine learning. Importance: Efficient organization and retrieval of data.

Data Science 52

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U-Next

AUGUST 25, 2022

Doing research in that field would be highly beneficial if you’re going for an MS in computer vision, deep learning, etc. It is the driving force behind the product rating system: An e-commerce web app may be developed to provide a scheme for product reviews based on sentiment classification. iOS Development .

Project 40

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U-Next

OCTOBER 27, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. AI helps develop self-learning systems that can learn from experience without requiring human intervention or programming effort. .

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. AI helps develop self-learning systems that can learn from experience without requiring human intervention or programming effort. .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

ProjectPro

DECEMBER 21, 2021

Even those with no prior programming experience/knowledge can quickly learn any of the languages mentioned above. Amongst all the options, Python is the go-to language for machine learning. To develop machine learning systems, you can easily leverage NumPy, Pandas, Matplotlib, and Scikit-learn.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies. of all the employees.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Method: The first step to start designing the Sentiment Analysis system would involve performing EDA over textual data. Strong understanding of statistical techniques used to quantify the results of NLP algorithms.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

JUNE 9, 2021

Data Science experts use machine learning techniques to create artificial-intelligence-based data models capable of performing activities that usually require human intelligence. These systems generate insights that analysts and business users may turn into real-world commercial value.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 20, 2023

Each of these fields is involved in protecting digital assets and ensuring the security of computer systems, networks, and information. It employs sophisticated methods to safeguard data confidentiality, preserve data integrity and authenticity, and ensure timely data availability.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

U-Next

AUGUST 16, 2022

Introduction: About Deep Learning Python. Initiatives based on Machine Learning (ML) and Artificial Intelligence (AI) are what the future has in store. What Is Deep Learning Python? Python is also intriguing to many developers since it is simple to learn. Deep Learning’s Top Python Libraries.

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

JUNE 18, 2021

SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. It contains a wide range of supervised and unsupervised learning algorithms that work on a consistent Python interface. Weka is an open-source machine learning library for Java.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

DECEMBER 17, 2021

So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

OCTOBER 18, 2021

Table of Contents 15 Top Machine Learning Projects for Students Time to Add the ML Projects to Your Resume 15 Top Machine Learning Projects for Students So, without further ado, let's dig deep into each of these best machine learning projects explicitly curated for students. Source: Moneyexcel 4.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JULY 3, 2018

It achieves this by giving ratings to the ships which are determined by coupling big data and the knowledge of the superintendent. The rating system gives one star rating to ships that are likely to experience an incident in the next year and a five star rating to ships which are least likely to do so. new cloud partnerships announced.

Hadoop 52

Hadoop Big Data Data Mining Government 52

ProjectPro

AUGUST 13, 2021

Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Table of Contents 15 Sample GitHub Machine Learning Projects Python Machine Learning Projects on GitHub 1. Classification System 4. Predictive Analytics 2. Building a ChatBot 3.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

JANUARY 22, 2024

Some common specializations include: Machine Learning and AI These courses provide in-depth knowledge of machine learning algorithms like regression, classification, clustering, deep learning and natural language processing. Students learn to work with tools like Tableau, Excel, SQL etc.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

OCTOBER 28, 2021

Another reason behind the traction is the exciting range of application systems that can be created using ML. These include Handwriting Recognition System , Credit Card Fraud Detection System , Sales Forecasting Project , Stocks Price Prediction , etc. Optimising the accuracy of a machine learning algorithm.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

U-Next

DECEMBER 2, 2022

Detection of fraud: Traditionally, fraud detection has relied on static rules-based systems, which have a number of shortcomings, which make them less effective. Using AI, prospective borrowers’ data can be analyzed to simplify most processes. . With AI, business transactions can be analyzed and their threat scores evaluated.

Management 40

Management Recruitment Finance Data Mining 40

Zalando Engineering

OCTOBER 17, 2016

We recently launched Zalando Research as a place where we can focus and conduct cutting edge research, as well as contribute actively to the research community in the areas of machine learning (ML), AI, natural language processing, and deep learning. This process is then repeated for new ideas and projects.

Data Mining 40

Data Mining Deep Learning Data Science Computer Science 40

Knowledge Hut

MAY 3, 2024

If you explore machine learning with Python syllabus , you will realize the extent of the application of KNN. Also, you will find a lot of intense application of K-NN in data mining, pattern recognition, semantic searching, intrusion detection and anomaly detection. Hence, the heavy demand for a Data Science Certification.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

ProjectPro

NOVEMBER 3, 2021

So, if this seems tempting enough and you wish to explore how to freelance as a data scientist, move ahead to the next section of this blog, where we discuss this in detail. That is primarily because the field of Data Science has quite a lot of subdomains to explore.

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

AltexSoft

JULY 27, 2021

In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Main approaches to building recommender systems.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76