317 Algorithms courses delivered Online

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

This course is a perfect supplement for ML enthusiasts. If you are only just beginning your adventures in machine learning and want to know the basics of statistics and regression used for machine learning, then go for it. Discover how you can level up and gain confidence to implement statistical methods and regression in machine learning with Python.

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

You will learn Python-based deep learning and machine learning techniques through this course. With numerous real-world case studies, we will go over all the mathematics needed to master deep learning algorithms. We will study Backpropagation, Feed Forward Network, Artificial Neural Networks, CNN, RNN, Transfer Learning, and more.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Parsing or syntactic analysis is one of the first stages in designing and implementing a compiler. Implementing a full manual parser from scratch allows understanding and seeing this process from the inside, demystifying internal structures, and turning building parsers into an interesting engineering task.

10 QLS Endorsed Courses for Pentest Programmer | 10 Endorsed Certificates Included | Life Time Access

🌟 Unlock the Power of Amazon Prime Video Direct Publishing! 🌟 Ready to captivate audiences worldwide and elevate your content to the next level? Discover the ultimate blueprint for success with our comprehensive online course: 'Publishing on Amazon Prime with Video Direct.'   🎬 Whether you're a seasoned filmmaker, aspiring creator, or content enthusiast, this course is your gateway to leveraging the immense reach and potential of Amazon Prime Video Direct. 🚀 What You'll Gain from this Course: Step-by-step guidance: Master the intricacies of Amazon Prime Video Direct publishing from start to finish. Insider tips and strategies: Learn the secrets to optimizing your content for maximum visibility and engagement. Exclusive insights: Understand the algorithms, trends, and best practices that drive success on the platform. Monetization mastery: Harness the monetization tools available on Amazon Prime to generate revenue from your videos. Case studies and real-life examples: Gain inspiration and learn from successful creators who have made their mark on Amazon Prime Video Direct.   🔑 Key Course Features: Comprehensive modules covering every aspect of publishing on Amazon Prime Video Direct. Engaging video tutorials, downloadable resources, and quizzes to reinforce your learning. Q&A sessions and access to a supportive community of fellow creators and experts. Ongoing updates to keep you abreast of the latest trends and changes in the platform's policies and algorithms.   🎯 Who Is This Course For? Filmmakers, directors, and producers looking to showcase their work to a global audience. Content creators aiming to expand their reach and monetize their videos effectively. Entrepreneurs seeking to leverage Amazon Prime Video Direct as a marketing or revenue-generating channel. Anyone passionate about creating compelling video content and eager to succeed on a premier streaming platform.   🌟 Enroll today in 'Publishing on Amazon Prime with Video Direct' and start your journey towards unlocking the full potential of your content on the world's leading streaming platform. Don't miss the opportunity to share your vision with millions worldwide! 🌍📽️ [Call to Action Button] Enroll Now and Launch Your Content on Amazon Prime Video Direct! [CTA] (*Disclaimer: Success on Amazon Prime Video Direct depends on various factors, including content quality, audience engagement, and market dynamics.) Course Curriculum

If you’re looking to start a career in Python coding, but don’t know where to begin, this might be for you. This course is aimed at absolute beginners that have never done any coding before. Early on in the course, you’ll learn what coding is, what certain types of languages are used for, specifically Python, and the types of careers available through learning Python.